Naomi Yedda Z. Francisco, Robert Ian R. Golechong, Ma. AiRene P. Mijares, Paolo Enrico R. Obrero, Genesis Marr N. Principe, Jeff Bernard E. Tiston
{"title":"Effects of error concealment on HEVC standard over wireless channels designed using Rayleigh fading and Markov model on AODV routed slices","authors":"Naomi Yedda Z. Francisco, Robert Ian R. Golechong, Ma. AiRene P. Mijares, Paolo Enrico R. Obrero, Genesis Marr N. Principe, Jeff Bernard E. Tiston","doi":"10.1109/HNICEM.2017.8269499","DOIUrl":null,"url":null,"abstract":"In video coding, error concealment is one of the techniques integrated to ensure the error-resilience of a video sequence. As of the current HM Reference Software [5], only frame-level error concealment can be performed by the codec. In this study, the author evaluates the performance of a slice-level error concealment scheme. The experimental setup consists of three video sequences with varying levels of motion activity: low, medium, and high. Each sequence is subject to five Packet Error Rates (PER) with five trials each and with a bitrate of 32kbps and 128 kbps. Afterwards, the PSNR for each frame is calculated. The frame PSNRs would then be used to calculate the average PSNR for each sequence. To generate the error patterns, a simulation of a wireless channel is created using Network Simulator (NS2). The simulation was modeled using Rayleigh fading and two-state Markov error model. The information resulting from this is used to allow the decoder to determine which slices are set for concealment. Based on the results, it can be seen that sequences with low motion activity benefit the most from error concealment while those with high motion activity fail to maintain the same quality.","PeriodicalId":104407,"journal":{"name":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM.2017.8269499","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
In video coding, error concealment is one of the techniques integrated to ensure the error-resilience of a video sequence. As of the current HM Reference Software [5], only frame-level error concealment can be performed by the codec. In this study, the author evaluates the performance of a slice-level error concealment scheme. The experimental setup consists of three video sequences with varying levels of motion activity: low, medium, and high. Each sequence is subject to five Packet Error Rates (PER) with five trials each and with a bitrate of 32kbps and 128 kbps. Afterwards, the PSNR for each frame is calculated. The frame PSNRs would then be used to calculate the average PSNR for each sequence. To generate the error patterns, a simulation of a wireless channel is created using Network Simulator (NS2). The simulation was modeled using Rayleigh fading and two-state Markov error model. The information resulting from this is used to allow the decoder to determine which slices are set for concealment. Based on the results, it can be seen that sequences with low motion activity benefit the most from error concealment while those with high motion activity fail to maintain the same quality.