{"title":"一种用于HEVC速率控制的LCU级最优位分配新方法","authors":"Shengxi Li, Mai Xu, Zulin Wang","doi":"10.1109/ICME.2015.7177445","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new method, namely recursive Taylor expansion (RTE) method, for optimally allocating bits to each LCU in the R-λ rate control scheme for HEVC. Specifically, we first set up an optimization formulation on optimal bit allocation. Unfortunately, it is intractable to achieve a closed-form solution for this formulation. We therefore propose a RTE solution to iteratively solve the formulation with a fast convergence speed. Then, an approximate closed-form solution can be obtained. This way, the optimal bit allocation can be achieved at little encoding complexity cost. Finally, the experimental results validate the effectiveness of our method in three aspects: compressed distortion, bit-rate control error, and bit fluctuation.","PeriodicalId":146271,"journal":{"name":"2015 IEEE International Conference on Multimedia and Expo (ICME)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"A novel method on optimal bit allocation at LCU level for rate control in HEVC\",\"authors\":\"Shengxi Li, Mai Xu, Zulin Wang\",\"doi\":\"10.1109/ICME.2015.7177445\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new method, namely recursive Taylor expansion (RTE) method, for optimally allocating bits to each LCU in the R-λ rate control scheme for HEVC. Specifically, we first set up an optimization formulation on optimal bit allocation. Unfortunately, it is intractable to achieve a closed-form solution for this formulation. We therefore propose a RTE solution to iteratively solve the formulation with a fast convergence speed. Then, an approximate closed-form solution can be obtained. This way, the optimal bit allocation can be achieved at little encoding complexity cost. Finally, the experimental results validate the effectiveness of our method in three aspects: compressed distortion, bit-rate control error, and bit fluctuation.\",\"PeriodicalId\":146271,\"journal\":{\"name\":\"2015 IEEE International Conference on Multimedia and Expo (ICME)\",\"volume\":\"46 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-08-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Multimedia and Expo (ICME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICME.2015.7177445\",\"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 IEEE International Conference on Multimedia and Expo (ICME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICME.2015.7177445","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A novel method on optimal bit allocation at LCU level for rate control in HEVC
In this paper, we propose a new method, namely recursive Taylor expansion (RTE) method, for optimally allocating bits to each LCU in the R-λ rate control scheme for HEVC. Specifically, we first set up an optimization formulation on optimal bit allocation. Unfortunately, it is intractable to achieve a closed-form solution for this formulation. We therefore propose a RTE solution to iteratively solve the formulation with a fast convergence speed. Then, an approximate closed-form solution can be obtained. This way, the optimal bit allocation can be achieved at little encoding complexity cost. Finally, the experimental results validate the effectiveness of our method in three aspects: compressed distortion, bit-rate control error, and bit fluctuation.