Abstract:This letter proposes a new Bijective Weighted Kernel (BWK) with Connected Component Analysis (CCA) for visual object search. Existing match kernels often employ Term Frequency-Inverse Document Frequency (TF-IDF) weighting which is based on the occurrence frequency of visual words. As opposed to the TF-IDF, the proposed bijective match kernel is designed to exploit the Scalable Vocabulary Tree (SVT) traversal paths to weigh the quantized visual words in image matching. The BWK exploits the corresponding paths b… Show more
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