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Many mid-level representations have been developed to replace traditional bag-of-words model (VQ+fc-means) such as sparse coding, OMP-fc with fc-SVD, and fisher vector with GMM in image domain. These approaches can be split into a dictionary learning phase and a feature encoding phase which are often closely related. In this paper, we jointly evaluate the effect of these two phases for video-based...
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