]> BibSonomy publications for /bibtex/16f908ace6a3d5135960dc663d6335922 http://www.bibsonomy.org/burst/bibtex/16f908ace6a3d5135960dc663d6335922 BibSonomy BuRST Feed for /bibtex/16f908ace6a3d5135960dc663d6335922 2008-07-27T03:35:48+02:00 Image retrieval: Ideas, influences, and trends of the new age. dblphttp://www.bibsonomy.org/bibtex/2aa3de767e2769d68a609cf87a5233ea0/dblp dblp 2008-05-09T00:00:00+02:00 dblp
Image retrieval: Ideas, influences, and trends of the new age.
Ritendra Datta and Dhiraj Joshi and Jia Li and James Ze Wang ACM Comput. Surv. 40 (2008)
to dblp by dblp on 2008-05-09 00:00:00 ]]> ACM Comput. Surv.2Image retrieval: Ideas, influences, and trends of the new age.402008dblp 2008-05-09 00:00:00.0 Image Retrieval: Ideas, Influences, and Trends of the New Age Content Based Image Retrieval CBIR Survey Paper - 2008http://www.bibsonomy.org/bibtex/2278a48194bc9afbd298c36dd497a9821/hotho hotho 2008-04-30T21:25:36+02:00 images ir retrieval survey
Image Retrieval: Ideas, Influences, and Trends of the New Age
Ritendra Datta and Dhiraj Joshi and Jia Li and James Z. Wang ACM Computing Surveys 40 (2008)
to images ir retrieval survey by hotho on 2008-04-30 21:25:36 ]]> ACM Computing Surveys2Image Retrieval: Ideas, Influences, and Trends of the New Age402008images ir retrieval survey 2008-04-30 21:25:36.0We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.