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Vector Quantization Enhancement for Computer Vision Tasks*

Publication Type: 
Book Chapter
This paper augments the Bag-of-Word scheme in several respects: we incorporate a category label into the clustering process, build classifier-tailored codebooks, and weight codewords according to their probability to occur. A size-adaptive feature clustering algorithm is also proposed as an alternative to k-means. Experiments on the PASCAL VOC 2007 challenge validate the approach for classical hard-assignment as well as VLAD encoding.
Publication Date: 
Research Group: 
Dublin City University (DCU)
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