AZB Prediction Algorithms in SSD-Based Video Coding
All the previous methods for detecting all-zero discrete cosine transform (DCT) coefficient blocks (AZB) prior to DCT and quantization are SAD-based methods. In this paper, two improved AZB early detection methods for SSD-based video coding are proposed. Based on the analysis of DCT coefficient dist...
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creator | Zhengguang Xie Yong Liu Wenjun Liu Tiejun Yang |
description | All the previous methods for detecting all-zero discrete cosine transform (DCT) coefficient blocks (AZB) prior to DCT and quantization are SAD-based methods. In this paper, two improved AZB early detection methods for SSD-based video coding are proposed. Based on the analysis of DCT coefficient distribution and Paseval energy conservation theorem, we derive an efficient condition under which each quantized coefficient becomes zero. Experiment results show that the energy conservation method achieves up to 32% higher detection ratio without degrading video quality and DCT distribution method up to 47% higher than the existing methodologies |
doi_str_mv | 10.1109/ICOSP.2006.345634 |
format | Conference Proceeding |
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In this paper, two improved AZB early detection methods for SSD-based video coding are proposed. Based on the analysis of DCT coefficient distribution and Paseval energy conservation theorem, we derive an efficient condition under which each quantized coefficient becomes zero. Experiment results show that the energy conservation method achieves up to 32% higher detection ratio without degrading video quality and DCT distribution method up to 47% higher than the existing methodologies</description><subject>Cities and towns</subject><subject>Codecs</subject><subject>Degradation</subject><subject>Discrete cosine transforms</subject><subject>Encoding</subject><subject>Energy conservation</subject><subject>Prediction algorithms</subject><subject>Prediction methods</subject><subject>Quantization</subject><subject>Video coding</subject><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><isbn>9780780397378</isbn><isbn>0780397371</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1jc1Kw0AURke0YKx5AHGTF5g4d-7MncwyjX-FQgtRF25KMjOpI20iSTe-vQUVPjiczfkYuwGRAwh7t6zW9SaXQlCOShOqM5ZaU4jT0Bo0xTm7-hfCC5ZIIMW1lDBjiSBupbHSXrJ0mj6FEAhFQUgJw_J9kW3G4KM7xqHPyv1uGOPx4zBlsc_q-p4vmin47C36MGTV4GO_u2azrtlPIf3jnL0-PrxUz3y1flpW5YpHMPrIZXt6JGmKYDpL6K0LTkiN0FpnKDQiSO1RgzFgXYuFcR0ZbZ2irlFICufs9rcbQwjbrzEemvF7q0BaAI0_sGBHag</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Zhengguang Xie</creator><creator>Yong Liu</creator><creator>Wenjun Liu</creator><creator>Tiejun Yang</creator><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>AZB Prediction Algorithms in SSD-Based Video Coding</title><author>Zhengguang Xie ; Yong Liu ; Wenjun Liu ; Tiejun Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-2b9296278e7f963d9cec02531b9c76ea0e25d3517719cb387cf6759c46fa43643</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Cities and towns</topic><topic>Codecs</topic><topic>Degradation</topic><topic>Discrete cosine transforms</topic><topic>Encoding</topic><topic>Energy conservation</topic><topic>Prediction algorithms</topic><topic>Prediction methods</topic><topic>Quantization</topic><topic>Video coding</topic><toplevel>online_resources</toplevel><creatorcontrib>Zhengguang Xie</creatorcontrib><creatorcontrib>Yong Liu</creatorcontrib><creatorcontrib>Wenjun Liu</creatorcontrib><creatorcontrib>Tiejun Yang</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>Zhengguang Xie</au><au>Yong Liu</au><au>Wenjun Liu</au><au>Tiejun Yang</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>AZB Prediction Algorithms in SSD-Based Video Coding</atitle><btitle>2006 8th international Conference on Signal Processing</btitle><stitle>ICOSP</stitle><date>2006</date><risdate>2006</risdate><volume>2</volume><issn>2164-5221</issn><isbn>0780397363</isbn><isbn>9780780397361</isbn><eisbn>9780780397378</eisbn><eisbn>0780397371</eisbn><abstract>All the previous methods for detecting all-zero discrete cosine transform (DCT) coefficient blocks (AZB) prior to DCT and quantization are SAD-based methods. In this paper, two improved AZB early detection methods for SSD-based video coding are proposed. Based on the analysis of DCT coefficient distribution and Paseval energy conservation theorem, we derive an efficient condition under which each quantized coefficient becomes zero. Experiment results show that the energy conservation method achieves up to 32% higher detection ratio without degrading video quality and DCT distribution method up to 47% higher than the existing methodologies</abstract><doi>10.1109/ICOSP.2006.345634</doi></addata></record> |
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subjects | Cities and towns Codecs Degradation Discrete cosine transforms Encoding Energy conservation Prediction algorithms Prediction methods Quantization Video coding |
title | AZB Prediction Algorithms in SSD-Based Video Coding |
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