ImageRover: a content-based image browser for the World Wide Web

@inproceedings{citeulike:1088556, abstract = {ImageRover is a search-by-image-content navigation tool for the World Wide Web (WWW). To gather images expediently, the image collection subsystem utilizes a distributed fleet of WWW robots running on different computers. The image robots gather information about the images they find, computing the appropriate image decompositions and indices, and store this extracted information in vector form for searches based on image content. At search time, users can iteratively guide the search through the selection of relevant examples. Search performance is made efficient through the use of an approximate, optimized k-d tree algorithm. The system employs a novel relevance feedback algorithm that selects the distance metrics that are appropriate for a particular query}, author = {Sclaroff, S. and Taycher, L. and La Cascia, M. }, booktitle = {Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on}, citeulike-article-id = {1088556}, doi = {10.1109/IVL.1997.629714}, journal = {Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on}, keywords = {cbir}, pages = {2--9}, posted-at = {2008-04-14 05:06:08}, priority = {2}, title = {ImageRover: a content-based image browser for the World Wide Web}, url = {http://dx.doi.org/10.1109/IVL.1997.629714}, year = {1997} }

TY - CONF ID - citeulike:1088556 L3 - citeulike-article-id:1088556 TI - ImageRover: a content-based image browser for the World Wide Web T2 - Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on JF - Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on SP - 2 EP - 9 N2 - ImageRover is a search-by-image-content navigation tool for the World Wide Web (WWW). To gather images expediently, the image collection subsystem utilizes a distributed fleet of WWW robots running on different computers. The image robots gather information about the images they find, computing the appropriate image decompositions and indices, and store this extracted information in vector form for searches based on image content. At search time, users can iteratively guide the search through the selection of relevant examples. Search performance is made efficient through the use of an approximate, optimized k-d tree algorithm. The system employs a novel relevance feedback algorithm that selects the distance metrics that are appropriate for a particular query KW - cbir AU - Sclaroff, S AU - Taycher, L AU - La Cascia, M PY - 1997/// UR - http://dx.doi.org/10.1109/IVL.1997.629714 ER -