ICIP 2006, Atlanta, GA

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Paper Detail

Session:Distributed Image and Video Coding - II
Time:Monday, October 9, 14:20 - 14:40
Presentation: Lecture
Topic: Image & Video Coding: Distributed Source Coding
Authors: Matthieu Maitre; University of Illinois at Urbana-Champaign 
 Christine Guillemot; IRISA 
 Luce Morin; IRISA 
Abstract: The compression efficiency of Distributed Video-Coding (DVC) suffers from the necessity of transmitting a large number of key-frames which are Intra-coded. This paper describes a new 3D model-based DVC approach which reduces the key-frame frequency. The decoder recovers a 3D model from the key-frames and predicts the intermediate frames by projecting it onto 2D image planes and applying image-based rendering techniques. This paper also introduces a new quasi-DVC method relying on a limited point tracking at the encoder. It greatly improves the prediction PSNR, while only slightly increasing the encoder complexity. It also allows the encoder to adaptively select the key-frames based on the video motion-content.