{"title":"H.264/AVC标准下的鲁棒多假设运动补偿预测","authors":"Tamim Haroun, F. Labeau","doi":"10.1109/IPTA.2010.5586736","DOIUrl":null,"url":null,"abstract":"Multiple Hypothesis Motion Compensated Prediction (MHMCP) has been extensively studied and is known to be a very effective method for enhancing the error resilience of motion compensated prediction with little impact on coding efficiency for compressing moving picture sequences. MHMCP with 2 hypotheses (2HMCP) may be used within the H.264/AVC standard by implementing it under the generalized B pictures framework. We explore good implementations of 2HMCP and propose a novel method to further enhance the error resilience by restricting the search areas in each reference frame such that the hypotheses selected from each are not too correlated. We find that there is significant rate-distortion gain, especially for fast moving sequences.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Robust Multiple Hypothesis Motion Compensated Prediction within the H.264/AVC standard\",\"authors\":\"Tamim Haroun, F. Labeau\",\"doi\":\"10.1109/IPTA.2010.5586736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multiple Hypothesis Motion Compensated Prediction (MHMCP) has been extensively studied and is known to be a very effective method for enhancing the error resilience of motion compensated prediction with little impact on coding efficiency for compressing moving picture sequences. MHMCP with 2 hypotheses (2HMCP) may be used within the H.264/AVC standard by implementing it under the generalized B pictures framework. We explore good implementations of 2HMCP and propose a novel method to further enhance the error resilience by restricting the search areas in each reference frame such that the hypotheses selected from each are not too correlated. We find that there is significant rate-distortion gain, especially for fast moving sequences.\",\"PeriodicalId\":236574,\"journal\":{\"name\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Conference on Image Processing Theory, Tools and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPTA.2010.5586736\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2010.5586736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Robust Multiple Hypothesis Motion Compensated Prediction within the H.264/AVC standard
Multiple Hypothesis Motion Compensated Prediction (MHMCP) has been extensively studied and is known to be a very effective method for enhancing the error resilience of motion compensated prediction with little impact on coding efficiency for compressing moving picture sequences. MHMCP with 2 hypotheses (2HMCP) may be used within the H.264/AVC standard by implementing it under the generalized B pictures framework. We explore good implementations of 2HMCP and propose a novel method to further enhance the error resilience by restricting the search areas in each reference frame such that the hypotheses selected from each are not too correlated. We find that there is significant rate-distortion gain, especially for fast moving sequences.