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Compression vidéo fondée sur l'apparence

Karl Schwerdt 1 
1 PRIMA - Perception, recognition and integration for observation of activity
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes
Abstract : This thesis describes a new technique for the compression of digital video data, called Orthonormal Basis Coding (OBC). Algorithms from computer vision, data compression, and pattern recognition are combined to form its three-step encoding scheme. OBC gathers information about image content without using models. Instead, it is based on appearance. Appearance-based techniques use orthonormal basis space representations of objects, usually in eigenspace, and exploit geometrical properties of these object representations. From a sequence of images of an object, each image contributes a point in the orthonormal basis space used. Focusing on one object from a sequence means that we need to normalize our video input data to one principal object. Given the application areas for video compression, a talking head as principal object is a natural choice. We show that OBC is a valid alternative to conventional video compression techniques. If the input video stream is well normalized to the principal object, OBC outperforms conventional compression techniques.
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Submitted on : Tuesday, February 17, 2004 - 10:03:34 AM
Last modification on : Friday, March 25, 2022 - 11:10:34 AM
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  • HAL Id : tel-00004704, version 1



Karl Schwerdt. Compression vidéo fondée sur l'apparence. Interface homme-machine [cs.HC]. Institut National Polytechnique de Grenoble - INPG, 2001. Français. ⟨tel-00004704⟩



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