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This paper targets to bring together the research efforts on two fields that are growing actively in the past few years: multicamera person Re-Identification (ReID) and large-scale image retrieval. We demonstrate that the essentials of image retrieval and person ReID are the same, i.e., measuring the similarity between images. However, person ReID requires more discriminative and robust features to...
This paper addresses the problem of affine distortions caused by viewpoint changes for the application of image retrieval. We study how to expand the visual words from a query image for better retrieval recall without the sacrifice of retrieval precision and efficiency. Our main contribution is the building of visual dictionaries that retain the mapping relationships between visual words extracted...
In this paper, a novel approach is proposed to estimate camera motion and segment moving objects from compressed video streams, aiming to detect semantic events in video clips. Simultaneously using the motion vectors and DC components of MPEG macroblocks (MB), the camera motion type and motion parameters of each frame are estimated with simplified models. Then the segmentation of moving objects is...
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