Dictionary design for matching pursuit and application to motion-compensated video coding
We present a new algorithm for matching pursuit (MP) dictionary design. This technique uses existing vector-quantization design techniques and an inner product-based distortion measure to learn functions from a set of training patterns. While this scheme can be applied to many MP applications, we fo...
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Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2004-06, Vol.14 (6), p.880-886 |
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description | We present a new algorithm for matching pursuit (MP) dictionary design. This technique uses existing vector-quantization design techniques and an inner product-based distortion measure to learn functions from a set of training patterns. While this scheme can be applied to many MP applications, we focus on motion-compensated video coding. Given a set of training sequences, data are extracted from the high-energy packets of the motion-compensated frames. Dictionaries with different regions of support are trained, pruned, and finally evaluated on MPEG test sequences. We find that for high bit-rate QCIF sequences we can achieve improvements of up to 0.66 dB with respect to conventional MP with separable Gabor functions. |
doi_str_mv | 10.1109/TCSVT.2004.828329 |
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This technique uses existing vector-quantization design techniques and an inner product-based distortion measure to learn functions from a set of training patterns. While this scheme can be applied to many MP applications, we focus on motion-compensated video coding. Given a set of training sequences, data are extracted from the high-energy packets of the motion-compensated frames. Dictionaries with different regions of support are trained, pruned, and finally evaluated on MPEG test sequences. We find that for high bit-rate QCIF sequences we can achieve improvements of up to 0.66 dB with respect to conventional MP with separable Gabor functions.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2004.828329</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; Coding ; Coding, codes ; Design engineering ; Dictionaries ; Discrete cosine transforms ; Distortion ; Distortion measurement ; Exact sciences and technology ; Filter bank ; Image processing ; Information, signal and communications theory ; Matching ; Matching pursuit algorithms ; MPEG encoders ; Noise levels ; Signal and communications theory ; Signal processing ; Signal processing algorithms ; Statistics ; Telecommunications and information theory ; Training ; Vector quantization ; Video codecs ; Video coding</subject><ispartof>IEEE transactions on circuits and systems for video technology, 2004-06, Vol.14 (6), p.880-886</ispartof><rights>2004 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2004</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c492t-c4bdd29c6912c949aa9b7e7b711b812fd36d9c53b2b538f345661b484d15af0d3</citedby><cites>FETCH-LOGICAL-c492t-c4bdd29c6912c949aa9b7e7b711b812fd36d9c53b2b538f345661b484d15af0d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1302169$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1302169$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15778484$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Schmid-Saugeon, P.</creatorcontrib><creatorcontrib>Zakhor, A.</creatorcontrib><title>Dictionary design for matching pursuit and application to motion-compensated video coding</title><title>IEEE transactions on circuits and systems for video technology</title><addtitle>TCSVT</addtitle><description>We present a new algorithm for matching pursuit (MP) dictionary design. This technique uses existing vector-quantization design techniques and an inner product-based distortion measure to learn functions from a set of training patterns. While this scheme can be applied to many MP applications, we focus on motion-compensated video coding. Given a set of training sequences, data are extracted from the high-energy packets of the motion-compensated frames. Dictionaries with different regions of support are trained, pruned, and finally evaluated on MPEG test sequences. We find that for high bit-rate QCIF sequences we can achieve improvements of up to 0.66 dB with respect to conventional MP with separable Gabor functions.</description><subject>Applied sciences</subject><subject>Coding</subject><subject>Coding, codes</subject><subject>Design engineering</subject><subject>Dictionaries</subject><subject>Discrete cosine transforms</subject><subject>Distortion</subject><subject>Distortion measurement</subject><subject>Exact sciences and technology</subject><subject>Filter bank</subject><subject>Image processing</subject><subject>Information, signal and communications theory</subject><subject>Matching</subject><subject>Matching pursuit algorithms</subject><subject>MPEG encoders</subject><subject>Noise levels</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Statistics</subject><subject>Telecommunications and information theory</subject><subject>Training</subject><subject>Vector quantization</subject><subject>Video codecs</subject><subject>Video coding</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kc1KxDAUhYsoqKMPIG6CoK465qZNmyxl_AXBhaPgKqRJqhnapiat4NubOgOCCzfJhXznknNOkhwBngNgfrFcPL0s5wTjfM4IywjfSvaAUpYSgul2nDGFlBGgu8l-CCuMIWd5uZe8Xlk1WNdJ_4W0CfatQ7XzqJWDerfdG-pHH0Y7INlpJPu-sUpOOBocat00pcq1vemCHIxGn1Ybh5TTUXqQ7NSyCeZwc8-S55vr5eIufXi8vV9cPqQq52SIZ6U14argQBTPuZS8Kk1ZlQAVA1LrrNBc0awiFc1YneW0KKCKn9dAZY11NkvO13t77z5GEwbR2qBM08jOuDEIxosYCy94JM_-JQkjFOcFjuDJH3DlRt9FF4ITIDHfIo8QrCHlXQje1KL3to05CsBi6kT8dCKmTsS6k6g53SyWQcmm9rJTNvwKaVmyaC1yx2vOGmN-nzNMIPr4BuNAlWU</recordid><startdate>20040601</startdate><enddate>20040601</enddate><creator>Schmid-Saugeon, P.</creator><creator>Zakhor, A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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This technique uses existing vector-quantization design techniques and an inner product-based distortion measure to learn functions from a set of training patterns. While this scheme can be applied to many MP applications, we focus on motion-compensated video coding. Given a set of training sequences, data are extracted from the high-energy packets of the motion-compensated frames. Dictionaries with different regions of support are trained, pruned, and finally evaluated on MPEG test sequences. We find that for high bit-rate QCIF sequences we can achieve improvements of up to 0.66 dB with respect to conventional MP with separable Gabor functions.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2004.828329</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Applied sciences Coding Coding, codes Design engineering Dictionaries Discrete cosine transforms Distortion Distortion measurement Exact sciences and technology Filter bank Image processing Information, signal and communications theory Matching Matching pursuit algorithms MPEG encoders Noise levels Signal and communications theory Signal processing Signal processing algorithms Statistics Telecommunications and information theory Training Vector quantization Video codecs Video coding |
title | Dictionary design for matching pursuit and application to motion-compensated video coding |
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