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Using Relevance Feedback in Content-Based Image Metasearch
July/August 1998 (vol. 2 no. 4)
pp. 59-69
ASCII Text
x 
 
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
x 
 
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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