Abstract

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 article, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and in the process discuss the spawning of related subfields. 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.

Keywords

Computer scienceImage retrievalInformation retrievalAutomatic image annotationKey (lock)AnnotationImage (mathematics)Process (computing)Data scienceContent-based image retrievalArtificial intelligenceComputer security

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Publication Info

Year
2008
Type
review
Volume
40
Issue
2
Pages
1-60
Citations
2984
Access
Closed

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Cite This

Ritendra Datta, Dhiraj Joshi, Jia Li et al. (2008). Image retrieval. ACM Computing Surveys , 40 (2) , 1-60. https://doi.org/10.1145/1348246.1348248

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DOI
10.1145/1348246.1348248