{"title":"高清MPEG-4 AVC流量分析和带宽预测","authors":"Laetitia Lanfranchi, B. Bing","doi":"10.1109/ICCCN.2008.ECP.83","DOIUrl":null,"url":null,"abstract":"In this paper, we propose and evaluate the accuracy of two new MPEG-4 AVC video traffic models. The first predicts the size of the B-frames of MPEG-4 AVC compressed video. The second predicts the size of the group of pictures (GOP) of the MPEG-4 AVC compressed video. We also propose an enhancement to these models using a new scene change detector metric. These traffic models can be employed by a network scheduler to provision MPEG-4 AVC video bandwidth efficiently.","PeriodicalId":314071,"journal":{"name":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","volume":"8 12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"High-Definition MPEG-4 AVC Traffic Analysis and Bandwidth Prediction\",\"authors\":\"Laetitia Lanfranchi, B. Bing\",\"doi\":\"10.1109/ICCCN.2008.ECP.83\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose and evaluate the accuracy of two new MPEG-4 AVC video traffic models. The first predicts the size of the B-frames of MPEG-4 AVC compressed video. The second predicts the size of the group of pictures (GOP) of the MPEG-4 AVC compressed video. We also propose an enhancement to these models using a new scene change detector metric. These traffic models can be employed by a network scheduler to provision MPEG-4 AVC video bandwidth efficiently.\",\"PeriodicalId\":314071,\"journal\":{\"name\":\"2008 Proceedings of 17th International Conference on Computer Communications and Networks\",\"volume\":\"8 12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Proceedings of 17th International Conference on Computer Communications and Networks\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCN.2008.ECP.83\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Proceedings of 17th International Conference on Computer Communications and Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCN.2008.ECP.83","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
High-Definition MPEG-4 AVC Traffic Analysis and Bandwidth Prediction
In this paper, we propose and evaluate the accuracy of two new MPEG-4 AVC video traffic models. The first predicts the size of the B-frames of MPEG-4 AVC compressed video. The second predicts the size of the group of pictures (GOP) of the MPEG-4 AVC compressed video. We also propose an enhancement to these models using a new scene change detector metric. These traffic models can be employed by a network scheduler to provision MPEG-4 AVC video bandwidth efficiently.