NOTE: There is a more comprehensive journal version of this paper, published in 2008. That paper reviews more than 300 key contributions related to content-based image retrieval and image annotation. The journal paper is:
Ritendra Datta, Dhiraj Joshi, Jia Li and James Z. Wang, ``Image Retrieval: Ideas, Influences, and Trends of the New Age,'' ACM Computing Surveys, vol. 40, no. 2, 2008. (download the journal version paper)

Content-Based Image Retrieval - Approaches and Trends in the New Age

Ritendra Datta, Jia Li, James Z. Wang
The Pennsylvania State University, University Park, PA 16802
Abstract:

The last decade has witnessed great interest in research on content-based image retrieval. This has paved the way for a large number of new techniques and systems, and a growing interest in associated fields to support such systems. Likewise, digital imagery has expanded its horizon in many directions, resulting in an explosion in the volume of image data required to be organized. In this paper, we discuss some of the key contributions in the current decade related to image retrieval and automated image annotation, spanning 120 references. We also discuss some of the key challenges involved in the adaptation of existing image retrieval techniques to build useful systems that can handle real-world data. We conclude with a study on the trends in volume and impact of publications in the field with respect to venues/journals and sub-topics.


Full Paper in Color
(PDF, 0.36MB)

On-line Info


Citation: Ritendra Datta, Jia Li and James Z. Wang, ``Content-Based Image Retrieval - Approaches and Trends of the New Age,'' Proceedings of the 7th International Workshop on Multimedia Information Retrieval, in conjunction with ACM International Conference on Multimedia, pp. 253-262, Singapore, ACM, November 2005.

Copyright 2005 ACM. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the ACM.

Last Modified: Mon Aug 29 18:41:29 EDT 2005
2005