Using Relevance Feedback in Content-Based Image Metasearch
July/August 1998 (vol. 2 no. 4)
pp. 59-69
ASCII Text
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Ana B. Benitez, Mandis Beigi, Shih-Fu Chang,
"Using Relevance Feedback in Content-Based Image Metasearch,"
IEEE Internet Computing, vol. 2, no. 4, pp. 59-69, July/August, 1998.
BibTex
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@article{
10.1109/4236.707692, author = {Ana B. Benitez and Mandis Beigi and Shih-Fu Chang}, title = {Using Relevance Feedback in Content-Based Image Metasearch}, journal ={IEEE Internet Computing}, volume = {2}, number = {4}, issn = {1089-7801}, year = {1998}, pages = {59-69}, doi = {http://doi.ieeecomputersociety.org/10.1109/4236.707692}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }
RefWorks Procite/RefMan/Endnote
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TY - MGZN JO - IEEE Internet Computing TI - Using Relevance Feedback in Content-Based Image Metasearch IS - 4 SN - 1089-7801 SP59 EP69 EPD - 59-69 A1 - Ana B. Benitez, A1 - Mandis Beigi, A1 - Shih-Fu Chang, PY - 1998 VL - 2 JA - IEEE Internet Computing ER -
MetaSeek is an image metasearch engine developed to explore the query of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism.
Citation:
Ana B. Benitez, Mandis Beigi, Shih-Fu Chang, "Using Relevance Feedback in Content-Based Image Metasearch," IEEE Internet Computing, vol. 2, no. 4, pp. 59-69, July/Aug. 1998, doi:10.1109/4236.707692
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