Research into techniques for the retrieval of images by semantic content is still in its infancy. This paper reviews recent trends in the field, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classification, and adaptive learning from user feedback. It compares the strengths and weaknesses of model-based and adaptive techniques, and argues that further advances in the field are likely to involve the increasing use of techniques from the field of artificial intelligence.
%0 Journal Article
%1 Eakins2002Towards
%A Eakins, John P.
%D 2002
%J Pattern Recognition
%K articles cbir diks images
%N 1
%P 3--14
%R 10.1016/S0031-3203(01)00038-3
%T Towards intelligent image retrieval
%U http://dx.doi.org/10.1016/S0031-3203(01)00038-3
%V 35
%X Research into techniques for the retrieval of images by semantic content is still in its infancy. This paper reviews recent trends in the field, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classification, and adaptive learning from user feedback. It compares the strengths and weaknesses of model-based and adaptive techniques, and argues that further advances in the field are likely to involve the increasing use of techniques from the field of artificial intelligence.
@article{Eakins2002Towards,
abstract = {{Research into techniques for the retrieval of images by semantic content is still in its infancy. This paper reviews recent trends in the field, distinguishing four separate lines of activity: automatic scene analysis, model-based and statistical approaches to object classification, and adaptive learning from user feedback. It compares the strengths and weaknesses of model-based and adaptive techniques, and argues that further advances in the field are likely to involve the increasing use of techniques from the field of artificial intelligence.}},
added-at = {2011-02-08T14:37:13.000+0100},
author = {Eakins, John P.},
biburl = {https://www.bibsonomy.org/bibtex/21c8ac8b38ba977c8df9742ea9097f40c/gonaut},
citeulike-article-id = {2568258},
citeulike-linkout-0 = {http://dx.doi.org/10.1016/S0031-3203(01)00038-3},
citeulike-linkout-1 = {http://www.sciencedirect.com/science/article/B6V14-4477X94-2/2/d2ecb0153a72765e3bc38c0eb42dadab},
doi = {10.1016/S0031-3203(01)00038-3},
interhash = {075034ac81817413c6b009d52cc45402},
intrahash = {1c8ac8b38ba977c8df9742ea9097f40c},
journal = {Pattern Recognition},
keywords = {articles cbir diks images},
month = {January},
number = 1,
pages = {3--14},
posted-at = {2009-02-28 13:51:21},
priority = {3},
timestamp = {2011-02-08T14:37:16.000+0100},
title = {{Towards intelligent image retrieval}},
url = {http://dx.doi.org/10.1016/S0031-3203(01)00038-3},
volume = 35,
year = 2002
}