3D Scene Modeling for Distributed Video Coding
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 first recovers a 3D model from the ke...
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creator | Maitre, M. Guillemot, C. Morin, L. |
description | 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 first recovers a 3D model from the key-frames. It then 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. |
doi_str_mv | 10.1109/ICIP.2006.312403 |
format | Conference Proceeding |
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It also allows the encoder to adaptively select the key-frames based on the video motion-content.</description><subject>Cameras</subject><subject>Decoding</subject><subject>Frequency</subject><subject>Layout</subject><subject>Parameter estimation</subject><subject>Predictive coding</subject><subject>PSNR</subject><subject>Rendering (computer graphics)</subject><subject>Stereo vision</subject><subject>Video coding</subject><subject>Video compression</subject><issn>1522-4880</issn><issn>2381-8549</issn><isbn>9781424404803</isbn><isbn>1424404800</isbn><isbn>9781424404810</isbn><isbn>1424404819</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjstKw0AUQMcXGGv3gpv5gcR777yXklYNVBR8bEsycyMjtZGkLvx7C7pxdRYHDkeIC4QKEcJVUzePFQHYSiFpUAdiHpxHTVqD9giHoiDlsfRGh6N_DtSxKNAQldp7OBVn0_QOQIAKC1GphXyKvGV5PyTe5O2b7IdRLvK0G3P3teMkX3PiQdZD2stzcdK3m4nnf5yJl5vlc31Xrh5um_p6VWZCtyuVMREIbSK7P06aO2qdj7ZldqATewxBOWd833cppDbEQJEsOxeiIwpqJi5_u5mZ159j_mjH77VGsCY49QOzSUW8</recordid><startdate>20060101</startdate><enddate>20060101</enddate><creator>Maitre, M.</creator><creator>Guillemot, C.</creator><creator>Morin, L.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>20060101</creationdate><title>3D Scene Modeling for Distributed Video Coding</title><author>Maitre, M. ; Guillemot, C. ; Morin, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i217t-355c0216d26006d4eb2a78c6aee704de819937758ffbd9da9c92c26e779c72293</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cameras</topic><topic>Decoding</topic><topic>Frequency</topic><topic>Layout</topic><topic>Parameter estimation</topic><topic>Predictive coding</topic><topic>PSNR</topic><topic>Rendering (computer graphics)</topic><topic>Stereo vision</topic><topic>Video coding</topic><topic>Video compression</topic><toplevel>online_resources</toplevel><creatorcontrib>Maitre, M.</creatorcontrib><creatorcontrib>Guillemot, C.</creatorcontrib><creatorcontrib>Morin, L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Maitre, M.</au><au>Guillemot, C.</au><au>Morin, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>3D Scene Modeling for Distributed Video Coding</atitle><btitle>2006 International Conference on Image Processing</btitle><stitle>ICIP</stitle><date>2006-01-01</date><risdate>2006</risdate><spage>585</spage><epage>588</epage><pages>585-588</pages><issn>1522-4880</issn><eissn>2381-8549</eissn><isbn>9781424404803</isbn><isbn>1424404800</isbn><eisbn>9781424404810</eisbn><eisbn>1424404819</eisbn><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 first recovers a 3D model from the key-frames. It then 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.</abstract><pub>IEEE</pub><doi>10.1109/ICIP.2006.312403</doi><tpages>4</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Cameras Decoding Frequency Layout Parameter estimation Predictive coding PSNR Rendering (computer graphics) Stereo vision Video coding Video compression |
title | 3D Scene Modeling for Distributed Video Coding |
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