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Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction
<!DOCTYPE html> <html xmlns="http://www.w3.org/1999/xhtml"> <head> <title>Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction</title> <!-- common meta tags --> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta http-equiv="X-UA-Compatible" content="ie=edge"> <meta name="title" content="Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction"> <meta name="description" content="High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased computation complexity. In this paper, a coding unit partitioning pattern optimization method based on particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA) rule based time limit is used in order to find out the best possible modes of operation. Compared to the current state of the art algorithms, this scheme is computationally simple and achieves superior reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors"/> <meta name="keywords" content="Fast Encoding, PSO, High Efficiency Video Coding, Quadtree-Based Coding Unit Partitioning"/> <!-- end common meta tags --> <!-- Dublin Core(DC) meta tags --> <meta name="dc.title" content="Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction"> <meta name="citation_author" content="Swati Vinod Sakhare"> <meta name="citation_author" content="Upena D. Dalal"> <meta name="dc.type" content="Article"> <meta name="dc.source" content="International Journal of Multimedia & Its Applications (IJMA) Vol.12, No.1/2/3/4"> <meta name="dc.date" content="2020/08/31"> <meta name="dc.identifier" content="10.5121/ijma.2020.12401"> <meta name="dc.publisher" content="AIRCC Publishing Corporation"> <meta name="dc.rights" content="http://creativecommons.org/licenses/by/3.0/"> <meta name="dc.format" content="application/pdf"> <meta name="dc.language" content="en"> <meta name="dc.description" content="High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased computation complexity. In this paper, a coding unit partitioning pattern optimization method based on particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA) rule based time limit is used in order to find out the best possible modes of operation. Compared to the current state of the art algorithms, this scheme is computationally simple and achieves superior reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors."/> <meta name="dc.subject" content="Fast Encoding"> <meta name="dc.subject" content="PSO"> <meta name="dc.subject" content="High Efficiency Video Coding"> <meta name="dc.subject" content="Quadtree-Based Coding Unit Partitioning"> <!-- End Dublin Core(DC) meta tags --> <!-- Prism meta tags --> <meta name="prism.publicationName" content="International Journal of Multimedia & Its Applications (IJMA)"> <meta name="prism.publicationDate" content="2020/08/31"> <meta name="prism.volume" content="12"> <meta name="prism.number" content="4"> <meta name="prism.section" content="Article"> <meta name="prism.startingPage" content="1"> <!-- End Prism meta tags --> <!-- citation meta tags --> <meta name="citation_journal_title" content="International Journal of Multimedia & Its Applications (IJMA)"> <meta name="citation_publisher" content="AIRCC Publishing Corporation"> <meta name="citation_authors" content="Swati Vinod Sakhare and Upena D. Dalal"> <meta name="citation_title" content="Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction"> <meta name="citation_online_date" content="2020/09/05"> <meta name="citation_volume" content="12"> <meta name="citation_issue" content="1/2/3/4"> <meta name="citation_firstpage" content="1"> <meta name="citation_author" content="Swati Vinod Sakhare"> <meta name="citation_author" content="Upena D. Dalal"> <meta name="citation_doi" content="10.5121/ijma.2020.12401"> <meta name="citation_abstract_html_url" content="https://aircconline.com/abstract/ijma/v12n4/12420ijma01.html"> <meta name="citation_pdf_url" content="https://aircconline.com/ijma/V12N4/12420ijma01.pdf"> <!-- end citation meta tags --> <!-- Og meta tags --> <meta property="og:site_name" content="AIRCC" /> <meta property="og:type" content="article" /> <meta property="og:url" content="https://aircconline.com/abstract/ijma/v12n4/12420ijma01.html"/> <meta property="og:title" content="High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased computation complexity. In this paper, a coding unit partitioning pattern optimization method based on particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA) rule based time limit is used in order to find out the best possible modes of operation. Compared to the current state of the art algorithms, this scheme is computationally simple and achieves superior reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors."/> <!-- end og meta tags --> <!-- INDEX meta tags --> <meta name="google-site-verification" content="t8rHIcM8EfjIqfQzQ0IdYIiA9JxDD0uUZAitBCzsOIw" /> <meta name="yandex-verification" content="e3d2d5a32c7241f4" /> <!-- end INDEX meta tags --> <style type="text/css"> .imagess { height:90px; text-align:left; margin:0px 5px 2px 8px; float:right; border:none; } a{ color:white; text-decoration:none; } ul li a{ font-weight:bold; color:#000; list-style:none; text-decoration:none; size:10px;} #button{ float: left; font-size: 17px; margin-left: 10px; height: 28px; width: 100px; background-color: #1e86c6; } </style> <link rel="stylesheet" type="text/css" href="../main.css" /> </head> <body> <div id="wap"> <div id="page"> <div id="top"> <table width="100%" cellspacing="0" cellpadding="0" > <tr><td colspan="3" valign="top"><img src="../ijma.gif" /></td></tr> </table> </div> <div id="menu"> <a href="http://airccse.org/journal/ijma.html">Home</a> <a href="http://airccse.org/journal/Editorialboard.html">Editorial</a> <a href="http://airccse.org/journal/Papersub.html">Submission</a> <a href="http://airccse.org/journal/ijma_index.html">Indexing</a> <a href="http://airccse.org/journal/Specialissue.html">Special Issue</a> <a href="http://airccse.org/journal/Contact.html">Contacts</a> <a href="http://airccse.org" target="_blank">AIRCC</a></div> <div id="content"> <div id="left"> <h2>Volume 12, Number 1/2/3/4</h2> <h4 style="text-align:center;height:auto;"><a>Improving PSNR and Processing Speed for HEVC Using Hybrid PSO for Intra Frame Prediction</a></h4> <h3> Authors</h3> <p class="#left">Swati Vinod Sakhare and Upena D. Dalal, The Sardar Vallabhbhai National Institute of Technology, India </p> <h3> Abstract</h3> <p class="#left right" style="text-align:justify">High efficiency video coding (HEVC) is the newest video codec to increase significantly the coding efficiency of its ancestor H.264/Advance Video Coding. However, the HEVC delivers a highly increased computation complexity. In this paper, a coding unit partitioning pattern optimization method based on particle swarm optimization (PSO) is proposed to reduce the computational complexity of hierarchical quadtree-based coding unit partitioning. The required coding unit partitioning pattern for exhaustive partitioning and the rate distortion cost are efficiently considered as the chromosome and the fitness function of the PSO, respectively. To reduce the computational time, the cellular automata-based (CA) rule based time limit is used in order to find out the best possible modes of operation. Compared to the current state of the art algorithms, this scheme is computationally simple and achieves superior reconstructed video quality (12% increase in PSNR compared to existing methods) at less computational complexity (overall delay by 40%), Increasing the bandwidth and reducing the errors.</p> <h3> Keywords</h3> <p class="#left right" style="text-align:justify">Fast Encoding, PSO, High Efficiency Video Coding, Quadtree-Based Coding Unit Partitioning</p><br> <button type="button" id="button"><a target="blank" href="/ijma/V12N4/12420ijma01.pdf">Full Text</a></button> <button type="button" id="button"><a href="http://www.airccse.org/journal/ijma_current20.html">Volume 12</a></button> <br><br><br><br><br> </div> <div id="right"> <div class="menu_right"> <ul><li id="id"><a href="http://airccse.org/journal/ijma.html">Scope & Topics</a></li> <li><a href="http://airccse.org/ethics.html">Ethics</a></li> <li><a href="http://airccse.org/journal/ijma_archive.html">Archives</a></li> <li><a href="http://airccse.org/journal/ijma_cited.html">Most Cited Articles</a></li> <li><a href="http://airccse.org/journal/ijma.pdf" title="">Download leaflet</a></li> <li><a href="http://airccse.org/faq.html" target="_blank">FAQ</a></li> </ul> </div><br /> <p align="center"> </p> <p align="center"> </p> </div> <div class="clear"></div> <div id="footer"><table width="100%" ><tr><td height="25" colspan="2"><br /><p align="center">© AIRCC Publishing Corporation</p></td></table> </div> </div> </div> </div> </body> </html>