TY - JOUR
T1 - Visual keyword image retrieval based on synergetic neural network for web-based image search
AU - Zhao, Tong
AU - Tang, Lilian H.
AU - Ip, Horace H.S.
AU - Qi, Feihu
PY - 2001/7
Y1 - 2001/7
N2 - Feature extraction and similarity measure are two basic key issues in image retrieval. Combining the advantages of SNN in image recognition and selective attention for image retrieval, a novel visual keywords-driven image retrieval approach based on these properties has been proposed. By using a predefined set of visual keywords as prototype patterns stored with the SNN and then measuring the degree of similarity of the stored images to the visual keywords, we show that such a visual keyword driven SNN can provide the framework for image indexing or retrieval which is scalable, robust and efficient for web-based search.
AB - Feature extraction and similarity measure are two basic key issues in image retrieval. Combining the advantages of SNN in image recognition and selective attention for image retrieval, a novel visual keywords-driven image retrieval approach based on these properties has been proposed. By using a predefined set of visual keywords as prototype patterns stored with the SNN and then measuring the degree of similarity of the stored images to the visual keywords, we show that such a visual keyword driven SNN can provide the framework for image indexing or retrieval which is scalable, robust and efficient for web-based search.
KW - Affine-invariant feature
KW - Synergetic neural network
KW - Trademark image retrieval
KW - Visual keywords, web-based multimedia search
UR - http://www.scopus.com/inward/record.url?scp=0035395731&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0035395731&origin=recordpage
U2 - 10.1023/A:1011147421401
DO - 10.1023/A:1011147421401
M3 - RGC 21 - Publication in refereed journal
SN - 0922-6443
VL - 21
SP - 127
EP - 142
JO - Real-Time Systems
JF - Real-Time Systems
IS - 1-2
ER -