Image retrieval by examples

@article{citeulike:2665020, abstract = {A currently important research field in information sciences is the management of nontraditional distributed multimedia databases. Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time. This paper presents the architecture of a distributed image retrieval system which provides novel solutions to these key issues. In particular, a method to quantify the effectiveness of low level visual descriptors in database query tasks is presented. The results are also used to improve the system response time, which is an important issue when querying very large databases. A new mechanism to adapt system query strategies to user behavior is also introduced in order to improve the effectiveness of relevance feedback and overall system response time. Finally, the issue of browsing multiple distributed databases is considered and a solution is proposed using multidimensional scaling techniques}, author = {Brunelli, R. and Mich, O. }, booktitle = {Multimedia, IEEE Transactions on}, citeulike-article-id = {2665020}, comment = {Uses multi-dimensional scaling to cluster images.}, doi = {10.1109/6046.865481}, journal = {Multimedia, IEEE Transactions on}, keywords = {cbir}, number = {3}, pages = {164--171}, posted-at = {2008-04-14 03:00:24}, priority = {2}, title = {Image retrieval by examples}, url = {http://dx.doi.org/10.1109/6046.865481}, volume = {2}, year = {2000} }

TY - JOUR ID - citeulike:2665020 L3 - citeulike-article-id:2665020 TI - Image retrieval by examples T2 - Multimedia, IEEE Transactions on JF - Multimedia, IEEE Transactions on VL - 2 IS - 3 SP - 164 EP - 171 N2 - A currently important research field in information sciences is the management of nontraditional distributed multimedia databases. Two related key issues are to achieve an efficient content-based query by example retrieval and a fast response time. This paper presents the architecture of a distributed image retrieval system which provides novel solutions to these key issues. In particular, a method to quantify the effectiveness of low level visual descriptors in database query tasks is presented. The results are also used to improve the system response time, which is an important issue when querying very large databases. A new mechanism to adapt system query strategies to user behavior is also introduced in order to improve the effectiveness of relevance feedback and overall system response time. Finally, the issue of browsing multiple distributed databases is considered and a solution is proposed using multidimensional scaling techniques KW - cbir N1 - Uses multi-dimensional scaling to cluster images. AU - Brunelli, R AU - Mich, O PY - 2000/// UR - http://dx.doi.org/10.1109/6046.865481 ER -