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]:
General Terms: Algorithms, Documentation, Performance.
Additional KeyWords and Phrases: Content-based image retrieval, annotation, tagging, modeling,
Full Paper and Addendum Information (unpublished study on publication trends and impact on different fields)
Full Paper in Color (technical report version)
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.
Copyright 2008 ACM.
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Copyright 2006-2007 Datta, Joshi, Li, and Wang.
May 6, 2008.