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Theses

Architecture auto-adaptative pour le transcodage vidéo

Abstract : Transcoding is a key element in the video transmission allows a video to go from one encoding type to another in order to adapt better to the transport capacity of a transmission channel. The advantage of this type of treatment is to make the most of users with various terminals with spatial resolution, temporal resolution displayable, and type of channel used to access the media vary widely, and from that of a single source of quality and maximum resolution, stored on a server, for example. Transcoding is appropriate where you want to send a video to a recipient and whose path would consist of various transmission channels. We realized by a transcoder and a requantization transcoder by truncation. These two methods were compared and it appears that in terms of image quality in either of these methods is more effective depending on the context. Following our work is the study of the standard H.264 AVC scalable derivative of the standard SVC (Scalable Video Coding). We wanted to study as a transcoder, but also in spatial resolution which will rewrite the SVC flow in a stream stroke decodable by decoders on the market today. This mapping is achieved through are configurable architecture to adapt to many types of flow which may conform to standard SVC to H.264. The proposed study has accomplished a partial implementation of a transcoder type SVC to AVC. We propose here a description of the implementations on AVC transcoding and SVC
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Michael Guarisco. Architecture auto-adaptative pour le transcodage vidéo. Autre. Université Henri Poincaré - Nancy 1, 2011. Français. ⟨NNT : 2011NAN10147⟩. ⟨tel-01746292⟩

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