<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="http://www.bibsonomy.org/user/flint63/multimedia"><owl:Ontology rdf:about=""><rdfs:comment>BibSonomy publications for /user/flint63/multimedia</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2fbef5692f7b6fbb9b9253a14fb3033e1/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2fbef5692f7b6fbb9b9253a14fb3033e1/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Thu Sep 22 14:02:57 CEST 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jun#</swrc:month><swrc:number>2</swrc:number><swrc:pages>391-429</swrc:pages><swrc:title>Towards the Semantic and Context-aware Management of Mobile Multimedia</swrc:title><swrc:volume>53</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>information springer adaptive paper retrieval interface zzz.th.c4 ai multimedia v1010 device user mobile </swrc:keywords><swrc:abstract>Users of mobile devices can nowadays easily create large quantities of mobile multimedia documents tracing significant events attended, places visited or, simply, moments of their everyday life. However, they face the challenge of organizing these documents in order to facilitate searching through them at a later time and sharing them with other users. We propose using context awareness and semantic technologies in order to improve and facilitate the organization, annotation, retrieval and sharing of personal mobile multimedia documents. Our approach combines metadata extracted and enriched automatically from the users&#039; context with annotations provided manually by the users and with annotations inferred by applying user-defined rules to context features. These new contextual metadata are integrated into the processes of annotation, sharing and keyword-based retrieval.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/VianaMironEtAl11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0502-6" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Windson Viana"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Alina Dia Miron"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Bogdan Moisuc"/></rdf:_3><rdf:_4><swrc:Person swrc:name="J{\&#039;e}r{\^o}me Gensel"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Marl{\`e}ne {Villanova-Oliver}"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Herv{\`e} Martin"/></rdf:_6></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2356f08928438d96a23d24a8889554540/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2356f08928438d96a23d24a8889554540/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Thu Sep 22 14:02:56 CEST 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#dec#</swrc:month><swrc:number>3</swrc:number><swrc:pages>379-398</swrc:pages><swrc:title>Semantic Adaptation of Multimedia Documents</swrc:title><swrc:volume>55</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer adaptive v1010 paper device interface user </swrc:keywords><swrc:abstract>Multimedia documents have to be played on multiple device types. Hence, usage and platform diversity requires document adaptation according to execution contexts, not generally predictable at design time. In an earlier work, a semantic framework for multimedia document adaptation was proposed. In this framework, a multimedia document is interpreted as a set of potential executions corresponding to the author specification. To each target device corresponds a set of possible executions complying with the device constraints. In this context, adapting requires to select an execution that satisfies the target device constraints and which is as close as possible from the initial composition. This theoretical adaptation framework does not specifically consider the main multimedia document dimensions, i.e., temporal, spatial and hypermedia. In this paper, we propose a concrete application of this framework on standard multimedia documents. For that purpose, we first define an abstract structure that captures the spatio-temporal and hypermedia dimensions of multimedia documents, and we develop an adaptation algorithm which transforms in a minimal way such a structure according to device constraints. Then, we show how this can be used for adapting concrete multimedia documents in SMIL through converting the documents in the abstract structure, using the adaptation algorithm, and converting it back in SMIL. This can be used for other document formats without modifying the adaptation algorithm.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/LaborieEuzenatLayaida11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0552-9" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="S{\&#039;e}bastien Laborie"/></rdf:_1><rdf:_2><swrc:Person swrc:name="J{\&#039;e}r{\^o}me Euzenat"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Nabil Laya{\&#034;\i}da"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/205ed4d8e2dafd906629bea551138a765/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/205ed4d8e2dafd906629bea551138a765/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Wed Sep 21 15:09:48 CEST 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#apr#</swrc:month><swrc:number>1</swrc:number><swrc:pages>97-120</swrc:pages><swrc:title>{TMS} for multimodal information processing</swrc:title><swrc:volume>54</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer v1010 paper multimodal interaction zzz.th.c4 interface workflow user </swrc:keywords><swrc:abstract>Many working processes are complex and composed by heterogeneous atomic tasks, e.g. editing, assembling data from different sources (as databases or laboratory&#039;s devices) with texts, images or learning objects, or submitting them to software components to retrieve information, to render them, re-format, submit to computations, and other types of information processing. All these processes heavily require procedural knowledge which is tacit as owned by experts of the working activity; they are complex and are extremely difficult to be modeled and automatized without having a flexible, multimodular evolutionary system in place. Support to information from different modalities increases the performance of a computer system originally designed for a task with a unimodular nature. In this paper, we discuss the idea of task management system (TMS) as a component-based system which offers a virtual workbench to search, acquire, describe and assemble computational agents performing single autonomous tasks into working processes. We sustain that TMS is a cutting edge platform to develop software solutions for problems related to workflow automatization and design. The architecture we propose follows the conceptual track of the TMS to allow composition and arrangement of atomic modules into a complex system. A configuration of the workflow can be implemented and extended with a set of task/components, chunks of activities which are considered basic elements of the workflow. By interacting with the TMS in editing mode, the workflow designer selects the relevant chunks from system repositories, drags them into a working system area and assembles them into a working process. As the main actor of the system, the workflow designer is provided with an environment resembling an artisan’s workshop, to let her/him select the relevant chunks from system repositories, drags them into a working area and assembles them into a working TMS instance, which represents the working process. Global interaction modality of the TMS instance is moulded and specialized on the base of the specific modalities of the task/components which have been retrieved from the system repositories and each time negotiated. Complex activities could be formally described, implemented and applied with a consequent advantage for personnel re-organization toward more conceptual activities.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/BarricelliMussioEtAl11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0527-x" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Barbara Rita Barricelli"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Piero Mussio"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Marco Padula"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Paolo Luigi Scala"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/20ea841b3345156d6404c2abeda89a1dd/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/20ea841b3345156d6404c2abeda89a1dd/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Proceedings"/><swrc:date>Fri Feb 18 17:13:15 CET 2011</swrc:date><swrc:address>New York</swrc:address><swrc:booktitle>MIR 2010: Proceedings of the ACM SIGMM International Conference on Multimedia Information Retrieval, Philadelphia, PA, USA</swrc:booktitle><swrc:publisher><swrc:Organization swrc:name="ACM"/></swrc:publisher><swrc:title>Proceedings of the ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2010, Philadelphia, PA, USA, March 29--31</swrc:title><swrc:year>2010</swrc:year><swrc:keywords>information ai multimedia acm zzz.th v1010 book retrieval conference </swrc:keywords><swrc:abstract>The goal of MIR is to illuminate new paradigms, theories, and insights in the area of multimedia information retrieval. Topics of special interest included exploration of media archives; interfaces for multimedia exploration; indexing and search of multimedia data: digital life experience analysis and retrieval; video surveillance browsing and retrieval; learning and relevance feedback in multimedia retrieval; and diverse applications in culture, society, and science.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="ACM Portal Publication Page:http\://portal.acm.org/citation.cfm?id=1743384:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-1-60558-815-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name=" N.N."/></rdf:_1></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/21347273bdaf9d1f30c7c076416980578/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/21347273bdaf9d1f30c7c076416980578/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Thu Feb 17 10:56:53 CET 2011</swrc:date><swrc:journal>Communications of the ACM</swrc:journal><swrc:month>#dec#</swrc:month><swrc:number>12</swrc:number><swrc:pages>34–36</swrc:pages><swrc:title>The Long Quest for Universal Information Access</swrc:title><swrc:volume>53</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>information multimedia publications acm search v1010 paper management storage </swrc:keywords><swrc:abstract>Digital object repositories are on the cusp of resolving the long-standing problem of universal information access in the Internet.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="0001-0782" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="ACM Digital Library:2010/DenningKahn10cacm.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1145/1859204.1859218" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Peter J. Denning"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Robert E. Kahn"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2c225fad7acf57f6db3d53861baa61376/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2c225fad7acf57f6db3d53861baa61376/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:06 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>77-98</swrc:pages><swrc:title>Research and Applications on Georeferenced Multimedia: A Survey</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer spatial location v1010 paper interface user </swrc:keywords><swrc:abstract>In recent years, the emergence of georeferenced media, like geotagged photos, on the Internet has opened up a new world of possibilities for geographic related research and applications. Despite of its short history, georeferenced media has been attracting attentions from several major research communities of Computer Vision, Multimedia, Digital Libraries and KDD. This paper provides a comprehensive survey on recent research and applications on online georeferenced media. Specifically, the survey focuses on four aspects: (1) organizing and browsing georeferenced media resources, (2) mining semantic/social knowledge from georeferenced media, (3) learning landmarks in the world, and (4) estimating geographic location of a photo. Furthermore, based on the current technical achievements, open research issues and challenges are identified, and directions that can lead to compelling applications are suggested.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/ZhengZhaChua11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0630-z" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Yan-Tao Zheng"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Zheng-Jun Zha"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Tat-Seng Chua"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/299c544aeecaff5099c4eab00d599ab2c/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/299c544aeecaff5099c4eab00d599ab2c/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:06 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>303-339</swrc:pages><swrc:title>Context Modeling in Computer Vision: Techniques, Implications, and Applications</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer zzz.th adaptive v1010 paper processing image video </swrc:keywords><swrc:abstract>In recent years there has been a surge of interest in context modeling for numerous applications in computer vision. The basic motivation behind these diverse efforts is generally the same---attempting to enhance current image analysis technologies by incorporating information from outside the target object, including scene analysis as well as metadata. However, many different approaches and applications have been proposed, leading to a somewhat inchoate literature that can be difficult to navigate. The current paper provides a roadmap’ of this new research, including a discussion of the basic motivation behind context-modeling, an overview of the most representative techniques, and a discussion of specific applications in which contextual modeling has been incorporated. This review is intended to introduce researchers in computer vision and image analysis to this increasingly important field as well as provide a reference for those who may wish to incorporate context modeling in their own work.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/MarquesBarenholtzCharvillat11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0631-y" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Oge Marques"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Elan Barenholtz"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Vincent Charvillat"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2f524b5316a2f998adf06c4b024e33b68/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2f524b5316a2f998adf06c4b024e33b68/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:05 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>35-76</swrc:pages><swrc:title>Multimedia Data Mining: State of the Art and Challenges</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer pattern zzz.th v1010 recognition paper action data zzz.vitra analysis </swrc:keywords><swrc:abstract>Advances in multimedia data acquisition and storage technology have led to the growth of very large multimedia databases. Analyzing this huge amount of multimedia data to discover useful knowledge is a challenging problem. This challenge has opened the opportunity for research in Multimedia Data Mining (MDM). Multimedia data mining can be defined as the process of finding interesting patterns from media data such as audio, video, image and text that are not ordinarily accessible by basic queries and associated results. The motivation for doing MDM is to use the discovered patterns to improve decision making. MDM has therefore attracted significant research efforts in developing methods and tools to organize, manage, search and perform domain specific tasks for data from domains such as surveillance, meetings, broadcast news, sports, archives, movies, medical data, as well as personal and online media collections. This paper presents a survey on the problems and solutions in Multimedia Data Mining, approached from the following angles: feature extraction, transformation and representation techniques, data mining techniques, and current multimedia data mining systems in various application domains. We discuss main aspects of feature extraction, transformation and representation techniques. These aspects are: level of feature extraction, feature fusion, features synchronization, feature correlation discovery and accurate representation of multimedia data. Comparison of MDM techniques with state of the art video processing, audio processing and image processing techniques is also provided. Similarly, we compare MDM techniques with the state of the art data mining techniques involving clustering, classification, sequence pattern mining, association rule mining and visualization. We review current multimedia data mining systems in detail, grouping them according to problem formulations and approaches. The review includes supervised and unsupervised discovery of events and actions from one or more continuous sequences. We also do a detailed analysis to understand what has been achieved and what are the remaining gaps where future research efforts could be focussed. We then conclude this survey with a look at open research directions.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/BhattKankanhalli11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0645-5" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Chidansh Amitkumar Bhatt"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Mohan S. Kankanhalli"/></rdf:_2></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2ad522d520c9e130d23f86e2772a60948/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2ad522d520c9e130d23f86e2772a60948/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:05 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:pages>341-377</swrc:pages><swrc:title>Augmented Reality Rechnologies, Systems and Applications</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>computer application springer paper interface zzz.th.c4 ai multimedia v1010 3d graphics user mobile </swrc:keywords><swrc:abstract>This paper surveys the current state-of-the-art of technology, systems and applications in Augmented Reality. It describes work performed by many different research groups, the purpose behind each new Augmented Reality system, and the difficulties and problems encountered when building some Augmented Reality applications. It surveys mobile augmented reality systems challenges and requirements for successful mobile systems. This paper summarizes the current applications of Augmented Reality and speculates on future applications and where current research will lead Augmented Reality&#039;s development. Challenges augmented reality is facing in each of these applications to go from the laboratories to the industry, as well as the future challenges we can forecast are also discussed in this paper. Section 1 gives an introduction to what Augmented Reality is and the motivations for developing this technology. Section 2 discusses Augmented Reality Technologies with computer vision methods, AR devices, interfaces and systems, and visualization tools. The mobile and wireless systems for Augmented Reality are discussed in Section 3. Four classes of current applications that have been explored are described in Section 4. These applications were chosen as they are the most famous type of applications encountered when researching AR apps. The future of augmented reality and the challenges they will be facing are discussed in Section 5.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/CarmignianiFurhtEtAl11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="1" swrc:key="issue"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0660-6" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Julie Carmigniani"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Borko Furht"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Marco Anisetti"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Paolo Ceravolo"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Ernesto Damiani"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Misa Ivkovic"/></rdf:_6></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2eff4cf765cce6cd5c788e0514897c86e/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2eff4cf765cce6cd5c788e0514897c86e/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:05 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>247-277</swrc:pages><swrc:title>Personalization in Multimedia Retrieval: A Survey</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai zzz.th.c45 knowledge multimedia springer adaptive v1010 paper processing assist interface user </swrc:keywords><swrc:abstract>With the explosive broadcast of multimedia (text documents, image, video etc.) in our life, how to annotate, search, index, browse and relate various forms of information efficiently becomes more and more important. Combining these challenges by relating them to user preference and customization only complicates the matter further. The goal of this survey is to give an overview of the current situation in the branches of research that are involved in annotation, relation and presentation to a user by preference. This paper will present some current models and techniques being researched to model ontology, preference, context, and presentation and bring them together in a chain of ideas that leads from raw uninformed data to an actual usable user interface that adapts with user preference and customization.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/LuSebeEtAl11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0621-0" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Yijuan Lu"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Nicu Sebe"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Ross Hytnen"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Qi Tian"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/282f621657b8181fa78a17666761e36ff/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/282f621657b8181fa78a17666761e36ff/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:04 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>379-396</swrc:pages><swrc:title>A Survey of Multimedia Content Adaptation for Mobile Devices</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>ai multimedia springer adaptive v1010 paper device zzz.th.c4 interface user mobile </swrc:keywords><swrc:abstract>With continued increase in the use of smartphones, user expectations of content access have also increased. Most of the content that exists today is not designed for mobile devices. Mobile devices cannot directly access most of the content due to the mismatch in device capability and content playback requirements. Content adaptation is an essential tool that bridges the gap between device capabilities and content formats. In this paper we present an overview of content adaptation and survey recent papers on content adaptation for mobile devices. We introduce the when, where, and what of content adaptation to help classify the content adaptation techniques and to select the appropriate techniques for a given content delivery environment.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/AdzicKalvaFurht11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0669-x" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Velibor Adzic"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Hari Kalva"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Borko Furht"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/25032e559d3ff2c379fabc617386fdd37/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/25032e559d3ff2c379fabc617386fdd37/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Feb 14 14:45:04 CET 2011</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:month>#jan#</swrc:month><swrc:number>1</swrc:number><swrc:pages>279-302</swrc:pages><swrc:title>Event Detection and Recognition for Semantic Annotation of Video</swrc:title><swrc:volume>51</swrc:volume><swrc:year>2011</swrc:year><swrc:keywords>springer paper recognition semantic image zzz.vitra analysis ai multimedia v1010 action processing video </swrc:keywords><swrc:abstract>Research on methods for detection and recognition of events and actions in videos is receiving an increasing attention from the scientific community, because of its relevance for many applications, from semantic video indexing to intelligent video surveillance systems and advanced human-computer interaction interfaces. Event detection and recognition requires to consider the temporal aspect of video, either at the low-level with appropriate features, or at a higher-level with models and classifiers than can represent time. In this paper we survey the field of event recognition, from interest point detectors and descriptors, to event modelling techniques and knowledge management technologies. We provide an overview of the methods, categorising them according to video production methods and video domains, and according to types of events and actions that are typical of these domains.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2011/BallanBertiniEtAl11mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-010-0643-7" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Lamberto Ballan"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Marco Bertini"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Alberto Bimbo"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Lorenzo Seidenari"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Giuseppe Serra"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/20ac699316d7f4bafc071ef6947dbe59e/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/20ac699316d7f4bafc071ef6947dbe59e/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Dec 13 14:24:44 CET 2010</swrc:date><swrc:journal>IEEE Intelligent Systems</swrc:journal><swrc:number>2</swrc:number><swrc:pages>40-47</swrc:pages><swrc:title>Context-Aware Middleware for Multimedia Services in Heterogeneous Networks</swrc:title><swrc:volume>25</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>ieee multimedia v1010 zzz.spm paper middleware zzz.a.spm14 network </swrc:keywords><swrc:abstract>This context-aware middleware system facilitates diverse multimedia services in heterogeneous-network environments by combining an adaptive service-provisioning middleware framework with a context-aware multimedia middleware framework.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1541-1672" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="IEEE Digital Library:2010/ZhouXiongEtAl10intelligent.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1109/MIS.2010.48" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Liang Zhou"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Naixue Xiong"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Lei Shu"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Athanasios Vasilakos"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Sang-Soo Yeo"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2ee36a144bffde0da769b89e6b045db19/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2ee36a144bffde0da769b89e6b045db19/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Mon Dec 13 14:24:33 CET 2010</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:number>2-3</swrc:number><swrc:pages>425-461</swrc:pages><swrc:title>A Context-Aware Middleware for Real-Time Semantic Enrichment of Distributed Multimedia Metadata</swrc:title><swrc:volume>46</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>springer knowledge paper zzz.spm middleware semantic ontology embedded rules ai multimedia v1010 processing zzz.a.spm14 </swrc:keywords><swrc:abstract>This paper investigates the problem of the real-time integration and processing of multimedia metadata collected by a distributed sensor network. The discussed practical problem is the efficiency of the technologies used in creating a Knowledge Base in real-time. Specifically, an approach is proposed for the real-time, rule-based semantic enrichment of lower level context features with higher-level semantics. The distinguishing characteristic is the provision of an intelligent middleware-based architecture on which low level components such as sensors, feature extraction algorithms, data sources, and high level components such as application-specific ontologies can be plugged. Throughout the paper, Priamos, a middleware architecture based on Semantic Web technologies is presented, together with a stress-test of the system’s operation under two test case scenarios: A smart security surveillance application and a smart meeting room application. Performance measurements are conducted and corresponding results are exposed.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2010/KonstantinouSolidakisEtAl10mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-009-0361-1" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Nikolaos Konstantinou"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Emmanuel Solidakis"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Anastasios Zafeiropoulos"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Panagiotis Stathopoulos"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Nikolas Mitrou"/></rdf:_5></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/25ed0701efb172ec521fff4424161871d/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/25ed0701efb172ec521fff4424161871d/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Wed Nov 24 18:13:11 CET 2010</swrc:date><swrc:address>Berlin</swrc:address><swrc:booktitle>Intelligent Interactive Multimedia Systems and Services</swrc:booktitle><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Smart Innovation, Systems and Technologies</swrc:series><swrc:title>Intelligent Interactive Multimedia Systems and Services</swrc:title><swrc:volume>6</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>ai multimedia springer v1010 zzz.spm book interaction conference interface user </swrc:keywords><swrc:abstract>This volume contains the Proceedings of the 3nd International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2010). This third edition of the KES-IIMSS Symposium was jointly organized by the Department of Informatics of the University of Piraeus, Greece and the Department of Information Technologies of the University of Milan, Italy in conjunction with KES International.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Springer Product page:http\://www.springer.com/978-3-642-14618-3:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/364214618X/:URL;Google Books:http\://books.google.de/books?isbn=978-3-642-14618-3:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-642-14618-3" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/978-3-642-14619-0" swrc:key="doi"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="George A. Tsihrintzis"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ernesto Damiani"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Maria Virvou"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Robert J. Howlett"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Lakhmi C. Jain"/></rdf:_5></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/23fc148c0b5f502e000a01303bad02503/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/23fc148c0b5f502e000a01303bad02503/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Wed Nov 24 17:57:50 CET 2010</swrc:date><swrc:address>Berlin</swrc:address><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Artificial Intelligence</swrc:series><swrc:title>Intelligent Technologies for Interactive Entertainment: First International Conference, INTETAIN 2005, Madonna di Campiglio, Italy, November 30 –- December 2, 2005, Proceedings</swrc:title><swrc:volume>3814</swrc:volume><swrc:year>2005</swrc:year><swrc:keywords>springer adaptive zzz.spm interaction entertain interface agent emotion ai multimedia v1010 book conference user </swrc:keywords><swrc:abstract>This book constitutes the refereed proceedings of the First International Conference on Intelligent Technologies for Interactive Entertainment, INTETAIN 2005 held in Madonna di Campiglio, Italy in November/December 2005. Among the intelligent computational technologies covered are adaptive media presentations, recommendation systems in media scalable crossmedia, affective user interfaces, intelligent speech interfaces, tele-presence in entertainment, collaborative user models and group behavior, collaborative and virtual environments, cross domain user models, animation and virtual characters, holographic interfaces, augmented, virtual and mixed reality, computer graphics and multimedia, pervasive multimedia, creative language environments, computational humour, etc. The 21 revised full papers and 15 short papers presented together with 12 demonstration papers were carefully reviewed and selected from a total of 39 submissions. The papers cover a wide range of topics, including intelligent interactive games, intelligent music systems, interactive cinema, edutainment, interactive art, interactive museum guides, city and tourism explorers assistants, shopping assistants, interactive real TV, interactive social networks, interactive storytelling, personal diaries, websites and blogs, and comprehensive assisting environments for special populations (impaired, children, elderly).</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Springer Product page:http\://www.springer.com/978-3-540-30509-5:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3540305092/:URL;Google Books:http\://books.google.de/books?isbn=978-3-540-30509-5:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-540-30509-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/11590323" swrc:key="doi"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Mark Maybury"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Oliviero Stock"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Wolfgang Wahlster"/></rdf:_3></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/25ea782eecf485f2cb03d9a3c7403f49a/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/25ea782eecf485f2cb03d9a3c7403f49a/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Sun Oct 31 22:48:44 CET 2010</swrc:date><swrc:journal>Multimedia Tools and Applications</swrc:journal><swrc:number>3</swrc:number><swrc:pages>365-384</swrc:pages><swrc:title>3D Posture Estimation Using Geodesic Distance Maps</swrc:title><swrc:volume>38</swrc:volume><swrc:year>2008</swrc:year><swrc:keywords>computer multimedia springer v1010 recognition paper image </swrc:keywords><swrc:abstract>This paper presents a novel technique for three-dimensional (3D) human motion capture using a set of two non-calibrated cameras. The user’s five extremities (head, hands and feet) are extracted, labeled and tracked after silhouette segmentation. As they are the minimal number of points that can be used in order to enable whole body gestural interaction, we will henceforth refer to these features as crucial points. Features are subsequently labelled using 3D triangulation and inter-image tracking. The crucial point candidates are defined as the local maxima of the geodesic distance with respect to the center of gravity of the actor region that lie on the silhouette boundary. Due to its low computational complexity, the system can run at real-time paces on standard personal computers, with an average error rate range between 4 percent and 9 percent in realistic situations, depending on the context and segmentation quality.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="1380-7501" swrc:key="issn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="SpringerLink:2008/CorreaMarquesEtAl08mtaa.pdf:PDF" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/s11042-007-0191-y" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Pedro Correa"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ferran Marqu{\&#039;e}s"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Xavier Marichal"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Benoit Macq"/></rdf:_4></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2f91d275371f6ee890cba1d49be57aa41/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2f91d275371f6ee890cba1d49be57aa41/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Sun Oct 31 22:48:43 CET 2010</swrc:date><swrc:address>M{\&#034;u}nchen</swrc:address><swrc:edition>3.</swrc:edition><swrc:publisher><swrc:Organization swrc:name="Pearson Studium"/></swrc:publisher><swrc:title>Verteilte Systeme: Konzepte und Design</swrc:title><swrc:year>2002</swrc:year><swrc:keywords>corba software multimedia development transaction v1010 middleware book processing java network oop </swrc:keywords><swrc:abstract>Das vorliegende Buch ist eines der umfassendsten Werke zum Thema Verteilte Systeme. Es behandelt alle Themengebiete, die f{\&#034;u}r den Entwurf, die Konstruktion und die Implementierung von verteilten Systemen relevant sind und erl{\&#034;a}utert die dahinter stehenden Prinzipien und Grundlagen. Dabei liegt der Schwerpunkt der Darstellung mehr auf der Beschreibung und praktischen Umsetzung als auf der theoretischen Analyse der Sachverhalte. Den Autoren gelingt so eine ausgewogene Mischung aus Grundlagenwissen und neuesten Trends und Entwicklungen. F{\&#034;u}r die dritte Auflage wurden alle Kapitel komplett akutalisiert, neu hinzugekommen sind Kapitel zu verteilten Multimediasystemen und zu Koordination und {\&#034;U}bereinstimmung. Aktuelle Themen wie Internet, Intranets, Mobilt{\&#034;a}t und Middleware finden ebenso wie die Objektorientierung weit st{\&#034;a}rkere Beachtung als in fr{\&#034;u}heren Auflagen des Buches.In der dritten Auflage ihres Bestsellers behandeln Coulouris, Dollimore und Kindberg alle Themengebiete, die f{\&#034;u}r den Entwurf und die Implementierung von Verteilten Systemen relevant sind und erl{\&#034;a}utert und die dahinter stehenden Prinzipien und Grundlagen. Die meisten Beispiele basieren auf Java und CORBA. Realistische Fallstudien illustrieren die Designkonzepte.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="InformIT page:http\://www.informit.de/main/main.asp?page=deutsch/bookdetails&amp;productid=7539:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3827370221/:URL;Google Books:http\://books.google.de/books?isbn=978-3-8273-7022-8:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-8273-7022-8" swrc:key="isbn"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="George Coulouris"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Jean Dollimore"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Tim Kindberg"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/2336ad9a8a4b56c2ce91bd790c63568d8/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/2336ad9a8a4b56c2ce91bd790c63568d8/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Sun Oct 31 22:48:41 CET 2010</swrc:date><swrc:address>Berlin</swrc:address><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Medical Content-Based Retrieval for Clinical Decision Support: First MICCAI International Workshop, MCBR-CDS 2009, London, UK, September 20, 2009, Revised Selected Papers</swrc:title><swrc:volume>5853</swrc:volume><swrc:year>2010</swrc:year><swrc:keywords>information text springer image assist retrieval health analysis multimedia v1010 zzz.th.med book processing language conference </swrc:keywords><swrc:abstract>This book constitutes the refereed proceedings of the first MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CDS 2009, held in London, UK, in September 2009. The 10 revised full papers were carefully reviewed and selected from numerous submissions. The papers are divide on several topics on medical image retrieval, clinical decision making and multimodal fusion.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Springer Product Page:http\://www.springer.com/978-3-642-11768-8:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3642117686/:URL;Google Books:http\://books.google.de/books?isbn=978-3-642-11768-8:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-642-11768-8" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/978-3-642-11769-5" swrc:key="doi"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Barbara Caputo"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Henning M{\&#034;u}ller"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Tanveer Fathima Syeda-Mahmood"/></rdf:_3><rdf:_4><swrc:Person swrc:name="James S. Duncan"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Fei Wang"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Jayashree Kalpathy-Cramer"/></rdf:_6></rdf:Seq></swrc:editor></rdf:Description><rdf:Description rdf:about="http://www.bibsonomy.org/bibtex/25eb08f378bafaefd356000bb2b56d589/flint63"><owl:sameAs rdf:resource="http://www.bibsonomy.org/uri/bibtex/25eb08f378bafaefd356000bb2b56d589/flint63"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Sun Oct 31 22:48:26 CET 2010</swrc:date><swrc:address>Berlin</swrc:address><swrc:booktitle>Semantic Multimedia: 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009, Graz, Austria</swrc:booktitle><swrc:publisher><swrc:Organization swrc:name="Springer"/></swrc:publisher><swrc:series>Lecture Notes in Computer Science</swrc:series><swrc:title>Semantic Multimedia: 4th International Conference on Semantic and Digital Media Technologies, SAMT 2009, Graz, Austria, December 2--4, 2009, Proceedings</swrc:title><swrc:volume>5887</swrc:volume><swrc:year>2009</swrc:year><swrc:keywords>information springer knowledge semantic web zzz.th.c4 ai multimedia v1010 book processing conference management </swrc:keywords><swrc:abstract>This book constitutes the refereed proceedings of the 4th International Conference on Semantics and Digital Media Technologies, SAMT 2009, held in Graz, Austria, in December 2009. The 13 revised full papers and 8 short papers presented together with the abstracts of 2 invited keynote lectures were carefully reviewd and selected from 41 submissions. The volume discusses topics such as semantic analysis and multimedia, semantic retrieval and multimedia, semantic metadata management of multimedia, semantic user interfaces for multimedia, semantics in visualization and computer graphics, as well as applications of semantic multimedia.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Springer Product page:http\://www.springer.com/978-3-642-10542-5:URL;Amazon Search inside:http\://www.amazon.de/gp/reader/3642105424/:URL;Google Books:http\://books.google.de/books?isbn=978-3-642-10542-5:URL" swrc:key="file"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-642-10542-5" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/978-3-642-10543-2" swrc:key="doi"/></swrc:hasExtraField><swrc:editor><rdf:Seq><rdf:_1><swrc:Person swrc:name="Tat-Seng Chua"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Yiannis Kompatsiaris"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Bernard Mérialdo"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Werner Haas"/></rdf:_4><rdf:_5><swrc:Person swrc:name="Georg Thallinger"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Werner Bailer"/></rdf:_6></rdf:Seq></swrc:editor></rdf:Description></rdf:RDF>
