ThanosAthanasiadis PhivosMylonas YannisS.Avrithis StefanosD.Kollias Semantic Image Segmentation and Object Labeling IEEE Trans. Circuits Syst. Video Techn. 17 298-312 2007 StephanBloehdorn KosmasPetridis CarstenSaathoff NikosSimou VassilisTzouvaras YannisAvrithis SiegfriedHandschuh YiannisKompatsiaris SteffenStaab MichaelG.Strintzis Semantic Annotation of Images and Videos for Multimedia Analysis Springer, Berlin–Heidelberg, Germany 3532 592-607 2005 Annotations of multimedia documents typically have been pursued in two different directions. Either previous approaches have focused on low level descriptors, such as dominant color, or they have focused on the content dimension and corresponding annotations, such as person or vehicle. In this paper, we present a software environment to bridge between the two directions. M-OntoMat-Annotizer allows for linking low level MPEG-7 visual descriptions to conventional Semantic Web ontologies and annotations. We use M-OntoMat- Annotizer in order to construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of corresponding visual descriptors. Thus, we formalize the interrelationship of high- and low-level multimedia concept descriptions allowing for new kinds of multimedia content analysis and reasoning. ÒscarCelma PerfectoHerrera XavierSerra A Multimodal Approach to Bridge the Music Semantic Gap. CEUR-WS.org 233 2006 KosmasPetridis StephanBloehdorn CarstenSaathoff NikosSimou StamatiaDasiopoulou VassilisTzouvaras SiegfriedHandschuh YannisAvrithis YiannisKompatsiaris SteffenStaab Knowledge Representation and Semantic Annotation of Multimedia Content IEE Proceedings on Vision, Image and Signal Processing - Special issue on the Integration of Knowledge, Semantics and Digital Media Technology 153 255-262 2006 Knowledge representation and annotation of multimedia documents typically have been pursued in two different directions. Previous approaches have focused either on low level descriptors, such as dominant color, or on the semantic content dimension and corresponding manual annotations, such as person or vehicle. In this paper, we present a knowledge infrastructure and a experimentation platform for semantic annotation to bridge the two directions. Ontologies are being extended and enriched to include low-level audiovisual features and descriptors. Additionally, we present a tool that allows for linking low-level MPEG- 7 visual descriptions to ontologies and annotations. This way we construct ontologies that include prototypical instances of high-level domain concepts together with a formal specification of the corresponding visual descriptors. This infrastructure is exploited by a knowledge-assisted analysis framework that may handle problems like segmentation, tracking, feature extraction and matching in order to classify scenes, identify and label objects, thus automatically create the associated semantic metadata. ChunmeiQing JianminJiang Recognition of JPEG Compressed Face Images Based on AdaBoost. Springer 4816 272-275 2007 MassimoRomanelli PaulBuitelaar MichaelSintek Modeling Linguistic Facets of Multimedia Content for Semantic Annotation Springer 4816 240-251 2007 We provide an integrated ontological framework offering coverage for deep semantic content, including ontological representation of multimedia based on the MPEG-7 standard. We link the deep semantic level with the media-specific semantic level to operationalize multimedia information. Through the link between multimedia representation and the semantics of specific domains we approach the Semantic Gap. The focus of the paper is on the linguistic features of multimedia, the annotation of these features and their analysis. GrégorySmits MichelPlu PascalBellec Personal Semantic Indexation of Images Using Textual Annotations. Springer 4306 71-85 2006 NicolasTsapatsoulis KonstantinosRapantzikos YannisS.Avrithis Priority coding for video-telephony applications based on visual attention. ACM 324 31 2006 Semantic Multimedia: Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, Genoa, Italy, December 5-7, 2007, Proceedings Springer 4816 2007 This book constitutes the refereed proceedings of the Second International Conference on Semantics and Digital Media Technologies, SAMT 2007. The 16 revised full papers, 10 revised short papers and 10 poster papers presented together with three awarded PhD papers were carefully reviewed and selected from 55 submissions. The conference brings together forums, projects, institutions and individuals investigating the integration of knowledge, semantics and low-level multimedia processing, including new emerging media and application areas. The papers are organized in topical sections on knowledge based content processing, semantic multimedia annotation, domain-restricted generation of semantic metadata from multimodal sources, classification and annotation of multidimensional content, content adaptation, MX: the IEEE standard for interactive music, as well as poster papers and K-space awarded PhD papers. Semantic Multimedia: First International Conference on Semantic and Digital Media Technologies, SAMT 2006, Athens, Greece, December 6–8, 2006, Proceedings Springer 4306 2006 This book constitutes the refereed proceedings of the First International Conference on Semantics and Digital Media Technologies, SAMT 2006, held in Athens, Greece in December 2006. The 17 revised full papers presented together with a invited keynote paper were carefully reviewd and selected from 68 submissions. SAMT 2006 targets to narrow the `Semantic Gap', i.e. the large disparity between the low-level descriptors that can be computed automatically from multimedia content and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media. The papers address a wide area of integrative research on new knowledge-based forms of digital media systems, semantics and low-level multimedia processing