Image Retrieval: Ideas, Influences, and Trends of the New Age

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

We 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.

Categories and Subject Descriptors: H.3.1 [Information Storage and Retrieval]: Content Analysis and IndexingIndexing methods; I.4.9 [Image Processing and Computer Vision]: Applications

General Terms: Algorithms, Documentation, Performance.

Additional KeyWords and Phrases: Content-based image retrieval, annotation, tagging, modeling, learning

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Citation: 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, article 5, pp. 1-60, 2008.

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Copyright 2006-2007 Datta, Joshi, Li, and Wang.

Last Modified: May 6, 2008.
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