{"title":"基于R-(lambda)模型的预编码HEVC改进速率控制","authors":"Jiangtao Wen, Meiyuan Fang, Minhao Tang, Kuang Wu","doi":"10.1109/DCC.2015.35","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a new rate control algorithm for High Efficiency Video Coding (HEVC), the latest video coding standard from the ITU/ISO [1]. We use the information of pre-encoded 16×16 coding units (CUs) to estimate the characteristics of the largest coding unit (LCU). Based on the estimates, the proposed R-λ model can be refined before the real encoding process. This is in contrast to rate control algorithms such as that in the HEVC reference software, where the model is updated based on a previously encoded picture. Experimental results show that the proposed rate control scheme can achieve accurate rate control with a BD-PSNR gain up to 5.37dB, compared to the state-of-the-art rate control algorithm in the HEVC test model (HM) 16.0. The largest PSNR improvement was over 6dB.","PeriodicalId":313156,"journal":{"name":"2015 Data Compression Conference","volume":"122 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"R-(lambda) Model Based Improved Rate Control for HEVC with Pre-Encoding\",\"authors\":\"Jiangtao Wen, Meiyuan Fang, Minhao Tang, Kuang Wu\",\"doi\":\"10.1109/DCC.2015.35\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we proposed a new rate control algorithm for High Efficiency Video Coding (HEVC), the latest video coding standard from the ITU/ISO [1]. We use the information of pre-encoded 16×16 coding units (CUs) to estimate the characteristics of the largest coding unit (LCU). Based on the estimates, the proposed R-λ model can be refined before the real encoding process. This is in contrast to rate control algorithms such as that in the HEVC reference software, where the model is updated based on a previously encoded picture. Experimental results show that the proposed rate control scheme can achieve accurate rate control with a BD-PSNR gain up to 5.37dB, compared to the state-of-the-art rate control algorithm in the HEVC test model (HM) 16.0. The largest PSNR improvement was over 6dB.\",\"PeriodicalId\":313156,\"journal\":{\"name\":\"2015 Data Compression Conference\",\"volume\":\"122 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 Data Compression Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCC.2015.35\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Data Compression Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCC.2015.35","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
摘要
本文针对ITU/ISO最新的视频编码标准HEVC (High Efficiency Video Coding,高效率视频编码)[1]提出了一种新的速率控制算法。我们使用预编码16×16编码单元(CUs)的信息来估计最大编码单元(LCU)的特征。基于估计,所提出的R-λ模型可以在实际编码过程之前进行细化。这与HEVC参考软件中的速率控制算法形成对比,在HEVC参考软件中,模型是根据先前编码的图像更新的。实验结果表明,与HEVC测试模型(HM) 16.0中最先进的速率控制算法相比,所提出的速率控制方案可以实现精确的速率控制,BD-PSNR增益高达5.37dB。最大的PSNR改善超过6dB。
R-(lambda) Model Based Improved Rate Control for HEVC with Pre-Encoding
In this paper, we proposed a new rate control algorithm for High Efficiency Video Coding (HEVC), the latest video coding standard from the ITU/ISO [1]. We use the information of pre-encoded 16×16 coding units (CUs) to estimate the characteristics of the largest coding unit (LCU). Based on the estimates, the proposed R-λ model can be refined before the real encoding process. This is in contrast to rate control algorithms such as that in the HEVC reference software, where the model is updated based on a previously encoded picture. Experimental results show that the proposed rate control scheme can achieve accurate rate control with a BD-PSNR gain up to 5.37dB, compared to the state-of-the-art rate control algorithm in the HEVC test model (HM) 16.0. The largest PSNR improvement was over 6dB.