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机译:通过运动信息重用和编码模式相似性分析将基于机器学习的H.264 / AVC转换为HEVC
College of Electronics and Information Engineering, Sichuan University, People's Republic of China;
College of Electronics and Information Engineering, Sichuan University, People's Republic of China;
College of Electronics and Information Engineering, Sichuan University, People's Republic of China;
College of Electronics and Information Engineering, Sichuan University, People's Republic of China;
College of Electronics and Information Engineering, Sichuan University, People's Republic of China;
learning (artificial intelligence); transcoding; video coding; code standards; Bayes methods; feature selection; image classification; trees (mathematics); computational complexity; image motion analysis;
机译:利用基于机器学习的H.264 / AVC到HEVC的快速转码,利用块分区相似性
机译:基于帧内预测,帧间预测和运动矢量相似性的从H.264 / AVC到高效视频编码的转码方法
机译:H.264 / AVC到HEVC转码器的高效PU模式决策和运动估计
机译:MPEG-2到H.264转码的运动信息和编码模式重用
机译:HEVC帧内编码的复杂性降低以及与H.264 / AVC的比较。
机译:现代编码标准的视频流量特性:具有SVC和MVC扩展的H.264 / AVC和H.265 / HEVC
机译:H.264 / aVC到HEVC转码器的有效pU模式决策和运动估计