Accélération matérielle pour le rendu de scènes multimédia vidéo et 3D

Two fields that used to be well separated are converging: 3D graphics and video coding. The emergence of new standards (such as, for example, MPEG-4) which provide to final users multimedia services makes this convergence easier. Thanks tothe concept of object coding, a scene can finally be reconstructed by the composition of various objects in a given order.This thesis deals with the general framework of visual objects composition. The kinds of objects that can be composed are also various: video sequences, still pictures, synthetic 3D objects, etc. However, the computational power requested in order to perform the composition is still prohibitive without any dedicated hardware and becomes critical in the context of mobile devices.Algorithmic and architectural reviews are performed in order to determine points that are shared between each field and to emphasize their differences. Next, three (interlinked) major axes of thought are explored: data representation, data accessesand processing organisation.The concrete case of a mobile device for labiophony allows the direct application of previous results. The labiophony is a smartphone application where the speaker face is reconstructed from a triangle mesh with texture mapping. A single architecture, able to equally process video sequences and triangle meshes, is defined. Finally, the architecture is synthesized and mapped into a prototyping platform. A comparison between this architecture and existing solutions can be performed.

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Source https://pastel.hal.science/tel-00077593
Author Cunat, Christophe
Maintainer CCSD
Last Updated May 15, 2026, 07:35 (UTC)
Created May 15, 2026, 07:35 (UTC)
Identifier tel-00077593
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Traitement et Communication de l'Information (LTCI) ; Télécom ParisTech-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)
creator Cunat, Christophe
date 2004-10-08T00:00:00
harvest_object_id a276da6e-048a-405c-85af-16542b2b0612
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-01-19T00:00:00
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