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This paper addresses the problem of large-scale image retrieval. We use the dual adaptive representation of vector of locally aggregated to improve the retrieval efficiency. The vector of locally aggregated (VLAD) aggregates SIFT descriptors and produces a compact representation to improve the search accuracy and memory usage, and the usage of adapted cluster centers of the VLAD enhances the performance...
Bag-of-Words based Image retrieval recently became the research hotspot. To improve the performance of visual word training in Bag-of-Words based image retrieval system, a k-means clustering algorithm based on the distribution of SIFT (Scale Invariant Feature Transform) feature data on each dimension is proposed. The initial clustering centers are obtained by analyzing the distribution of SIFT feature...
In order to retrieve the character images but avoid the OCR system which is limited in some application, a method for Chinese characters retrieval is presented in this paper. It firstly extracts the improved contour feature of Chinese character images, which is used to match roughly. Then, the candidate character images attained above are divided by the centroid of each one. For each part divided,...
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