A New Approach to Motion Vector Estimation
Block matching has been widely used for block motion estimation; however most of the block matching algorithms impose heavy computational load to the system, and require much time for execution. This problem prevents using them in time critical applications. In this paper, a new approach to block ma...
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| creator | Ebrahimi, H. Nilchi, A. Vahdat-Nejad, H. |
| description | Block matching has been widely used for block motion estimation; however most of the block matching algorithms impose heavy computational load to the system, and require much time for execution. This problem prevents using them in time critical applications. In this paper, a new approach to block matching technique is presented, which has small computational complexity as well as high accuracy. The main assumption of the algorithm is that, all the pixels of a block move equally by a linear motion. Experimental results show the feasibility and effectiveness of the proposed algorithm. |
| doi_str_mv | 10.1109/ICCEE.2008.177 |
| format | Conference Proceeding |
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This problem prevents using them in time critical applications. In this paper, a new approach to block matching technique is presented, which has small computational complexity as well as high accuracy. The main assumption of the algorithm is that, all the pixels of a block move equally by a linear motion. Experimental results show the feasibility and effectiveness of the proposed algorithm.</description><identifier>ISBN: 0769535046</identifier><identifier>ISBN: 9780769535043</identifier><identifier>DOI: 10.1109/ICCEE.2008.177</identifier><identifier>LCCN: 2008909434</identifier><language>eng</language><publisher>IEEE</publisher><subject>Additive noise ; Application software ; Computational complexity ; Cost function ; Digital images ; Exponential distribution ; Mean square error methods ; Motion estimation ; Pixel ; Testing</subject><ispartof>2008 International Conference on Computer and Electrical Engineering, 2008, p.941-945</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4741122$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2051,27904,54898</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4741122$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Ebrahimi, H.</creatorcontrib><creatorcontrib>Nilchi, A.</creatorcontrib><creatorcontrib>Vahdat-Nejad, H.</creatorcontrib><title>A New Approach to Motion Vector Estimation</title><title>2008 International Conference on Computer and Electrical Engineering</title><addtitle>ICCEE</addtitle><description>Block matching has been widely used for block motion estimation; however most of the block matching algorithms impose heavy computational load to the system, and require much time for execution. This problem prevents using them in time critical applications. In this paper, a new approach to block matching technique is presented, which has small computational complexity as well as high accuracy. The main assumption of the algorithm is that, all the pixels of a block move equally by a linear motion. Experimental results show the feasibility and effectiveness of the proposed algorithm.</description><subject>Additive noise</subject><subject>Application software</subject><subject>Computational complexity</subject><subject>Cost function</subject><subject>Digital images</subject><subject>Exponential distribution</subject><subject>Mean square error methods</subject><subject>Motion estimation</subject><subject>Pixel</subject><subject>Testing</subject><isbn>0769535046</isbn><isbn>9780769535043</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjU1Lw0AURQekoK3dunEzayHxvfnMW4YQtVDbjbotM-MMRtQJyYD4723Rs7lwFvcwdoVQIwLdbrqu72sB0NRo7RlbgjWkpQZlFmx58gSkpDpn63l-hyOSFBi8YDct38Vv3o7jlF144yXzx1yG_MVfYih54v1chk93MpdskdzHHNf_u2LPd_1T91Bt9_ebrt1WA1pdKhLeonJIBLoBZ5IVCUErmShFiY5CCA1Q8j7YoBGV9T7qRhiCV5-0kCt2_fc7xBgP43TMTz8HZRWiEPIXvdg_-A</recordid><startdate>200812</startdate><enddate>200812</enddate><creator>Ebrahimi, H.</creator><creator>Nilchi, A.</creator><creator>Vahdat-Nejad, H.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200812</creationdate><title>A New Approach to Motion Vector Estimation</title><author>Ebrahimi, H. ; Nilchi, A. ; Vahdat-Nejad, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-92b714a1990580a6f72f10543f9fe31a9ccc809fbbc7c51147bbe582690dbf523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Additive noise</topic><topic>Application software</topic><topic>Computational complexity</topic><topic>Cost function</topic><topic>Digital images</topic><topic>Exponential distribution</topic><topic>Mean square error methods</topic><topic>Motion estimation</topic><topic>Pixel</topic><topic>Testing</topic><toplevel>online_resources</toplevel><creatorcontrib>Ebrahimi, H.</creatorcontrib><creatorcontrib>Nilchi, A.</creatorcontrib><creatorcontrib>Vahdat-Nejad, H.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ebrahimi, H.</au><au>Nilchi, A.</au><au>Vahdat-Nejad, H.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Approach to Motion Vector Estimation</atitle><btitle>2008 International Conference on Computer and Electrical Engineering</btitle><stitle>ICCEE</stitle><date>2008-12</date><risdate>2008</risdate><spage>941</spage><epage>945</epage><pages>941-945</pages><isbn>0769535046</isbn><isbn>9780769535043</isbn><abstract>Block matching has been widely used for block motion estimation; however most of the block matching algorithms impose heavy computational load to the system, and require much time for execution. This problem prevents using them in time critical applications. In this paper, a new approach to block matching technique is presented, which has small computational complexity as well as high accuracy. The main assumption of the algorithm is that, all the pixels of a block move equally by a linear motion. Experimental results show the feasibility and effectiveness of the proposed algorithm.</abstract><pub>IEEE</pub><doi>10.1109/ICCEE.2008.177</doi><tpages>5</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Additive noise Application software Computational complexity Cost function Digital images Exponential distribution Mean square error methods Motion estimation Pixel Testing |
| title | A New Approach to Motion Vector Estimation |
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