DocumentCode :
2215070
Title :
Efficient implementation of vector quantization for image retrieval
Author :
Teng, Shyh Wei ; Lu, Guojun
Author_Institution :
GSIT, Monash Univ., Clayton, Vic.
fYear :
0
fDate :
0-0 0
Abstract :
Vector quantization histogram (VQH) is a content-based image retrieval technique that has high retrieval effectiveness. However, as VQH´s image indexing process is highly computationally intensive, it is not ideal as an online system. We propose an efficient image encoding technique to address this issue. Our experimental results show the proposed technique greatly improves the retrieval efficiency of VQH and it also has little adverse effects on VQH´s retrieval effectiveness
Keywords :
content-based retrieval; image coding; image retrieval; vector quantisation; content-based image retrieval; image encoding; vector quantization histogram; Content based retrieval; Decoding; Delay; Histograms; Image coding; Image retrieval; Indexing; Information retrieval; Usability; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi-Media Modelling Conference Proceedings, 2006 12th International
Conference_Location :
Beijing
Print_ISBN :
1-4244-0028-7
Type :
conf
DOI :
10.1109/MMMC.2006.1651331
Filename :
1651331
Link To Document :
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