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