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Unifying Keywords and Visual Contents in Image Retrieval
April-June 2002 (vol. 9 no. 2)
pp. 23-33
ASCII Text
x 
 
Xiang Sean Zhou, Thomas S. Huang, "Unifying Keywords and Visual Contents in Image Retrieval," IEEE Multimedia, vol. 9, no. 2, pp. 23-33, April-June, 2002.
 
 
BibTex
x
 
@article{ 10.1109/93.998050,
author = {Xiang Sean Zhou and Thomas S. Huang},
title = {Unifying Keywords and Visual Contents in Image Retrieval},
journal ={IEEE Multimedia},
volume = {9},
number = {2},
issn = {1070-986X},
year = {2002},
pages = {23-33},
doi = {http://doi.ieeecomputersociety.org/10.1109/93.998050},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Multimedia
TI - Unifying Keywords and Visual Contents in Image Retrieval
IS - 2
SN - 1070-986X
SP23
EP33
EPD - 23-33
A1 - Xiang Sean Zhou,
A1 - Thomas S. Huang,
PY - 2002
VL - 9
JA - IEEE Multimedia
ER -
 

Experimenting with keywords and visual content in image retrieval, the authors use a seamless joint querying and relevance feedback scheme. They base the scheme on keywords and low-level visual content. Using an algorithm for a learned word similarity matrix, they conducted experiments that validated the approach.

Citation:
Xiang Sean Zhou, Thomas S. Huang, "Unifying Keywords and Visual Contents in Image Retrieval," IEEE Multimedia, vol. 9, no. 2, pp. 23-33, April-June 2002, doi:10.1109/93.998050
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