Title :
A comparative study of evidence combination strategies
Author :
Yavlinsky, Alexei ; Pickering, Marcus J. ; Heesch, Daniel ; Ruger, Stefan
Author_Institution :
Dept. of Comput., Imperial Coll. London, UK
Abstract :
The paper reports on experimental results obtained from a performance comparison of feature combinations strategies in content based image retrieval. The use of support vector machines is compared to CombMIN, CombMAX, CombSUM and BordaFuse combination strategies, all of which are evaluated on a carefully compiled set of Corel images and the TRECVID 2003 search task collection.
Keywords :
content-based retrieval; feature extraction; image classification; image colour analysis; image retrieval; image texture; support vector machines; video signal processing; BordaFuse; CombMAX; CombMIN; CombSUM; Corel images; SVM meta-classification; colour features; content based image retrieval; content based retrieval; evidence combination strategies; feature combinations strategies; support vector machines; texture features; Content based retrieval; Educational institutions; Feedback; Histograms; Image retrieval; Information retrieval; Pixel; Speech recognition; Support vector machines; Tiles;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1326726
