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Technical Program
Paper Detail
| Paper: | MP-L2.1 |
| Session: | Distributed Image and Video Coding - II |
| Time: | Monday, October 9, 14:20 - 14:40 |
| Presentation: |
Lecture
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| Title: |
3D SCENE MODELING FOR DISTRIBUTED VIDEO 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. |
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