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A fast binary motion estimation algorithm for MPEG-4 shape coding
This paper presents a fast binary motion estimation (BME) algorithm using diamond search pattern for MPEG-4 shape coding, which is the key technology for supporting the content-based video coding. Based on the properties of binary shape information, a boundary mask for efficient search positions can...
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Published in: | IEEE transactions on circuits and systems for video technology 2004-06, Vol.14 (6), p.908-913 |
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description | This paper presents a fast binary motion estimation (BME) algorithm using diamond search pattern for MPEG-4 shape coding, which is the key technology for supporting the content-based video coding. Based on the properties of binary shape information, a boundary mask for efficient search positions can be generated. Therefore, a large number of search points can be skipped. Simulation results show that our algorithm combined with diamond shaped zones takes equal bit rate in the same quality but reduces the number of search points marvelously in BME to 0.6% compared with full search algorithm, which is described in MPEG-4 verification mode. The proposed algorithm will reduce computational complexity of shape coding significantly and be suitable for real-time software and hardware applications of MPEG-4 shape coding. |
doi_str_mv | 10.1109/TCSVT.2004.828318 |
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Based on the properties of binary shape information, a boundary mask for efficient search positions can be generated. Therefore, a large number of search points can be skipped. Simulation results show that our algorithm combined with diamond shaped zones takes equal bit rate in the same quality but reduces the number of search points marvelously in BME to 0.6% compared with full search algorithm, which is described in MPEG-4 verification mode. The proposed algorithm will reduce computational complexity of shape coding significantly and be suitable for real-time software and hardware applications of MPEG-4 shape coding.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2004.828318</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Application software ; Applied sciences ; Artificial intelligence ; Bit rate ; Computational complexity ; Computational modeling ; Computer science; control theory; systems ; Exact sciences and technology ; Hardware ; Image processing ; Information, signal and communications theory ; Motion estimation ; MPEG 4 Standard ; Pattern recognition. Digital image processing. 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The proposed algorithm will reduce computational complexity of shape coding significantly and be suitable for real-time software and hardware applications of MPEG-4 shape coding.</description><subject>Application software</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Bit rate</subject><subject>Computational complexity</subject><subject>Computational modeling</subject><subject>Computer science; control theory; systems</subject><subject>Exact sciences and technology</subject><subject>Hardware</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Motion estimation</subject><subject>MPEG 4 Standard</subject><subject>Pattern recognition. Digital image processing. 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Computational geometry</topic><topic>Shape</topic><topic>Signal processing</topic><topic>Software algorithms</topic><topic>Telecommunications and information theory</topic><topic>Video coding</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>TSAI, Tsung-Han</creatorcontrib><creatorcontrib>CHEN, Chia-Pin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEEE/IET Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>TSAI, Tsung-Han</au><au>CHEN, Chia-Pin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A fast binary motion estimation algorithm for MPEG-4 shape coding</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2004-06-01</date><risdate>2004</risdate><volume>14</volume><issue>6</issue><spage>908</spage><epage>913</epage><pages>908-913</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>This paper presents a fast binary motion estimation (BME) algorithm using diamond search pattern for MPEG-4 shape coding, which is the key technology for supporting the content-based video coding. Based on the properties of binary shape information, a boundary mask for efficient search positions can be generated. Therefore, a large number of search points can be skipped. Simulation results show that our algorithm combined with diamond shaped zones takes equal bit rate in the same quality but reduces the number of search points marvelously in BME to 0.6% compared with full search algorithm, which is described in MPEG-4 verification mode. The proposed algorithm will reduce computational complexity of shape coding significantly and be suitable for real-time software and hardware applications of MPEG-4 shape coding.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2004.828318</doi><tpages>6</tpages></addata></record> |
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subjects | Application software Applied sciences Artificial intelligence Bit rate Computational complexity Computational modeling Computer science control theory systems Exact sciences and technology Hardware Image processing Information, signal and communications theory Motion estimation MPEG 4 Standard Pattern recognition. Digital image processing. Computational geometry Shape Signal processing Software algorithms Telecommunications and information theory Video coding |
title | A fast binary motion estimation algorithm for MPEG-4 shape coding |
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