Iterative True Motion Estimation for Motion-Compensated Frame Interpolation
This paper proposes a new motion-compensated frame interpolation (MCFI) method. The performance of MCFI is highly dependent on the accuracy of the estimated motion vectors (MVs). The proposed iterative motion estimation (ME) method estimates reliable MVs using linearity checking and restricted searc...
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Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2013-03, Vol.23 (3), p.445-454 |
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creator | KIM, Dongyoon LIM, Hyungjun PARK, Hyunwook |
description | This paper proposes a new motion-compensated frame interpolation (MCFI) method. The performance of MCFI is highly dependent on the accuracy of the estimated motion vectors (MVs). The proposed iterative motion estimation (ME) method estimates reliable MVs using linearity checking and restricted search areas. An adaptive interpolation method is also proposed to obtain MVs for blocks that do not have reliable MVs in the iterative ME process. The experimental results show that the proposed method outperforms the conventional MCFI methods in terms of the quality of the interpolated frames. Furthermore, the MVs from the proposed method are more accurate than those from the conventional methods. |
doi_str_mv | 10.1109/TCSVT.2012.2207271 |
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The performance of MCFI is highly dependent on the accuracy of the estimated motion vectors (MVs). The proposed iterative motion estimation (ME) method estimates reliable MVs using linearity checking and restricted search areas. An adaptive interpolation method is also proposed to obtain MVs for blocks that do not have reliable MVs in the iterative ME process. The experimental results show that the proposed method outperforms the conventional MCFI methods in terms of the quality of the interpolated frames. Furthermore, the MVs from the proposed method are more accurate than those from the conventional methods.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2012.2207271</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Detection, estimation, filtering, equalization, prediction ; Exact sciences and technology ; Filtering ; Frame rate upconversion ; Image processing ; Indexes ; Information, signal and communications theory ; Interpolation ; iterative motion estimation ; Linearity ; Motion estimation ; motion-compensated frame interpolation ; Reliability ; Signal and communications theory ; Signal processing ; Signal, noise ; Telecommunications and information theory ; true motion vector ; Vectors</subject><ispartof>IEEE transactions on circuits and systems for video technology, 2013-03, Vol.23 (3), p.445-454</ispartof><rights>2014 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c297t-3f5b8f6fafba8e0f245643eb3ef1c5824bf2f0c96702fc1c55df930e53f53dcd3</citedby><cites>FETCH-LOGICAL-c297t-3f5b8f6fafba8e0f245643eb3ef1c5824bf2f0c96702fc1c55df930e53f53dcd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6257455$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6257455$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27141653$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>KIM, Dongyoon</creatorcontrib><creatorcontrib>LIM, Hyungjun</creatorcontrib><creatorcontrib>PARK, Hyunwook</creatorcontrib><title>Iterative True Motion Estimation for Motion-Compensated Frame Interpolation</title><title>IEEE transactions on circuits and systems for video technology</title><addtitle>TCSVT</addtitle><description>This paper proposes a new motion-compensated frame interpolation (MCFI) method. The performance of MCFI is highly dependent on the accuracy of the estimated motion vectors (MVs). The proposed iterative motion estimation (ME) method estimates reliable MVs using linearity checking and restricted search areas. An adaptive interpolation method is also proposed to obtain MVs for blocks that do not have reliable MVs in the iterative ME process. The experimental results show that the proposed method outperforms the conventional MCFI methods in terms of the quality of the interpolated frames. Furthermore, the MVs from the proposed method are more accurate than those from the conventional methods.</description><subject>Applied sciences</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Filtering</subject><subject>Frame rate upconversion</subject><subject>Image processing</subject><subject>Indexes</subject><subject>Information, signal and communications theory</subject><subject>Interpolation</subject><subject>iterative motion estimation</subject><subject>Linearity</subject><subject>Motion estimation</subject><subject>motion-compensated frame interpolation</subject><subject>Reliability</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><subject>true motion vector</subject><subject>Vectors</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMtOw0AMRUcIJErhB2CTDcuEeTmPJYraUlHEgsA2mkxsKahNopmAxN8zfagr29f3WNZl7F7wRAhePFXlx1eVSC5kIiXPZCYu2EwA5HEY4TL0HEScSwHX7Mb7b86FznU2Y6_rCZ2Zul-MKveD0dswdUMfLfzU7cyhpcGd1LgcdiP23kzYRktndhit-4CPw_ZgvWVXZLYe7051zj6Xi6p8iTfvq3X5vImtLLIpVgRNTikZakyOnKSGVCtsFJKwkEvdkCRuizTjkmyQoKVCcYQAqta2as7k8a51g_cOqR5d-Nb91YLX-zjqQxz1Po76FEeAHo_QaLw1W3Kmt50_k8GiRQoq-B6Ovg4Rz-tUQqYB1D9cm2qg</recordid><startdate>20130301</startdate><enddate>20130301</enddate><creator>KIM, Dongyoon</creator><creator>LIM, Hyungjun</creator><creator>PARK, Hyunwook</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20130301</creationdate><title>Iterative True Motion Estimation for Motion-Compensated Frame Interpolation</title><author>KIM, Dongyoon ; LIM, Hyungjun ; PARK, Hyunwook</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c297t-3f5b8f6fafba8e0f245643eb3ef1c5824bf2f0c96702fc1c55df930e53f53dcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Applied sciences</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Exact sciences and technology</topic><topic>Filtering</topic><topic>Frame rate upconversion</topic><topic>Image processing</topic><topic>Indexes</topic><topic>Information, signal and communications theory</topic><topic>Interpolation</topic><topic>iterative motion estimation</topic><topic>Linearity</topic><topic>Motion estimation</topic><topic>motion-compensated frame interpolation</topic><topic>Reliability</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><topic>true motion vector</topic><topic>Vectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>KIM, Dongyoon</creatorcontrib><creatorcontrib>LIM, Hyungjun</creatorcontrib><creatorcontrib>PARK, Hyunwook</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>KIM, Dongyoon</au><au>LIM, Hyungjun</au><au>PARK, Hyunwook</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Iterative True Motion Estimation for Motion-Compensated Frame Interpolation</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2013-03-01</date><risdate>2013</risdate><volume>23</volume><issue>3</issue><spage>445</spage><epage>454</epage><pages>445-454</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>This paper proposes a new motion-compensated frame interpolation (MCFI) method. The performance of MCFI is highly dependent on the accuracy of the estimated motion vectors (MVs). The proposed iterative motion estimation (ME) method estimates reliable MVs using linearity checking and restricted search areas. An adaptive interpolation method is also proposed to obtain MVs for blocks that do not have reliable MVs in the iterative ME process. The experimental results show that the proposed method outperforms the conventional MCFI methods in terms of the quality of the interpolated frames. Furthermore, the MVs from the proposed method are more accurate than those from the conventional methods.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2012.2207271</doi><tpages>10</tpages></addata></record> |
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subjects | Applied sciences Detection, estimation, filtering, equalization, prediction Exact sciences and technology Filtering Frame rate upconversion Image processing Indexes Information, signal and communications theory Interpolation iterative motion estimation Linearity Motion estimation motion-compensated frame interpolation Reliability Signal and communications theory Signal processing Signal, noise Telecommunications and information theory true motion vector Vectors |
title | Iterative True Motion Estimation for Motion-Compensated Frame Interpolation |
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