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Many image retrieval systems adopt the bag-of-words model and rely on matching of local descriptors. However, these descriptors of keypoints, such as SIFT, may lead to false matches, since they do not consider the contextual information of the keypoints. In this paper, we incorporate the cues of meaningful regions where local descriptors are extracted. We describe a matching region estimation (MRE)...
Existing techniques usually adopt compact descriptors such as Fisher vector for mobile visual search, since compact descriptors are memory-efficient and suitable for fast transmission. In common Fisher vector methods, in order to make the size of image representations small enough for efficient transmission, only a small number of visual words are used. However, this choice usually sacrifices the...
Although many systems based on global or local descriptors have shown promising results for logo recognition, they have handled all logos with the same structure and not considered their diversities. Therefore, with the logo scale increasing, the general way cannot recognize each logo perfectly. To overcome this limitation, we propose a novel strategy to match query and each logo individually using...
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