{"title":"在HEVC编码中集成了一种新的帧率提升转换框架","authors":"Guo Lu, Xiaoyun Zhang, Zhiyong Gao","doi":"10.1109/ICIP.2016.7533159","DOIUrl":null,"url":null,"abstract":"Frame rate up conversion (FRUC) is a key technology for providing high frame rate video with better visual quality, but at the cost of huge computational complexity and bandwidth consumption. In this paper, a standard compatible framework of FRUC integrated within high efficiency video coding (HEVC) is innovatively proposed. First, spatial and temporal motion candidates of skip mode are collected and employed for the motion estimation of FRUC, where FRUC selects the best motion vectors (MVs) according to the texture-aware criterion based on coding block size. Then, the interpolated frame is handed over to HEVC coding and mostly encoded as skip mode, which consumes very limited bits. Experimental results show that the proposed method has a great advantage both in computational complexity and bandwidth consumption compared with the traditional method of FRUC cascaded with coding.","PeriodicalId":147245,"journal":{"name":"International Conference on Information Photonics","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A novel framework of frame rate up conversion integrated within HEVC coding\",\"authors\":\"Guo Lu, Xiaoyun Zhang, Zhiyong Gao\",\"doi\":\"10.1109/ICIP.2016.7533159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Frame rate up conversion (FRUC) is a key technology for providing high frame rate video with better visual quality, but at the cost of huge computational complexity and bandwidth consumption. In this paper, a standard compatible framework of FRUC integrated within high efficiency video coding (HEVC) is innovatively proposed. First, spatial and temporal motion candidates of skip mode are collected and employed for the motion estimation of FRUC, where FRUC selects the best motion vectors (MVs) according to the texture-aware criterion based on coding block size. Then, the interpolated frame is handed over to HEVC coding and mostly encoded as skip mode, which consumes very limited bits. Experimental results show that the proposed method has a great advantage both in computational complexity and bandwidth consumption compared with the traditional method of FRUC cascaded with coding.\",\"PeriodicalId\":147245,\"journal\":{\"name\":\"International Conference on Information Photonics\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Information Photonics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIP.2016.7533159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Information Photonics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIP.2016.7533159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
摘要
帧率提升转换(Frame rate up conversion, FRUC)是提供高帧率视频和高视觉质量的关键技术,但其代价是巨大的计算复杂度和带宽消耗。本文创新性地提出了一种集成在高效视频编码(HEVC)中的FRUC标准兼容框架。首先,收集跳跃模式的时空运动候选项并用于FRUC的运动估计,FRUC根据基于编码块大小的纹理感知准则选择最佳运动向量(mv);然后,将插值后的帧交给HEVC编码,并且大部分编码为跳过模式,这消耗了非常有限的比特。实验结果表明,与传统的FRUC级联编码方法相比,该方法在计算复杂度和带宽消耗方面都有很大的优势。
A novel framework of frame rate up conversion integrated within HEVC coding
Frame rate up conversion (FRUC) is a key technology for providing high frame rate video with better visual quality, but at the cost of huge computational complexity and bandwidth consumption. In this paper, a standard compatible framework of FRUC integrated within high efficiency video coding (HEVC) is innovatively proposed. First, spatial and temporal motion candidates of skip mode are collected and employed for the motion estimation of FRUC, where FRUC selects the best motion vectors (MVs) according to the texture-aware criterion based on coding block size. Then, the interpolated frame is handed over to HEVC coding and mostly encoded as skip mode, which consumes very limited bits. Experimental results show that the proposed method has a great advantage both in computational complexity and bandwidth consumption compared with the traditional method of FRUC cascaded with coding.