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Abstract

This paper describes an extension of a vision model for video that has been designed to estimate how specific features in moving pictures are rendered as a consequence of a compression process. The resulting model permits to evaluate the distortions on contours and textures in a sequence, as well as to estimate how strong the blocking effect (resulting from a block-DCT compression scheme) is. The model has been used to evaluate feature rendition in MPEG-2 compressed sequences.

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