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In this paper, we propose a novel holistic representation based on the spatio-temporal steerable pyramid (STSP) for human action recognition. The spatio-temporal Laplacian pyramid provides an effective technique for multi-scale analysis of video sequences. By decomposing spatio-temporal volumes into band-passed sub-volumes, spatio-temporal patterns residing in different scales will be nicely localized...
This paper presents a new method for enhancement of the visual quality of compressed video sequences. The algorithm reduces coding artifacts and enhances sharpness of image details using combined filtering that ensures low implementation cost and high quality. Parameters of the combined bilateral filter are controlled by a block grid visibility metric, local entropy value, and dynamic range of pixel...
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