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.
%0 Journal Article
%1 datta2008image
%A Datta, Ritendra
%A Joshi, Dhiraj
%A Li, Jia
%A Wang, James Z.
%D 2008
%J ACM Computing Surveys
%K biwi cbir imageretrieval retrieval usblibrary
%N 2
%P 5-1 - 5-60
%T Image Retrieval: Ideas, Influences, and Trends of the New Age
%U http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/datta.pdf
%V 40
%X 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.
@article{datta2008image,
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.},
added-at = {2012-01-29T14:18:56.000+0100},
author = {Datta, Ritendra and Joshi, Dhiraj and Li, Jia and Wang, James Z.},
biburl = {https://www.bibsonomy.org/bibtex/2278a48194bc9afbd298c36dd497a9821/dgrl},
interhash = {6f908ace6a3d5135960dc663d6335922},
intrahash = {278a48194bc9afbd298c36dd497a9821},
journal = {ACM Computing Surveys},
keywords = {biwi cbir imageretrieval retrieval usblibrary},
number = 2,
pages = {5-1 - 5-60},
timestamp = {2012-01-29T18:44:19.000+0100},
title = {Image Retrieval: Ideas, Influences, and Trends of the New Age},
url = {http://infolab.stanford.edu/~wangz/project/imsearch/review/JOUR/datta.pdf},
volume = 40,
year = 2008
}