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1. 发明申请

US20140369613A1 ADAPTIVE FILTERING MECHANISM TO REMOVE ENCODING ARTIFACTS IN VIDEO DATA 有权
标题翻译：在视频数据中移除编码艺术家的自适应滤波机制
公开(公告)号：US20140369613A1
公开(公告)日：2014-12-18
申请号：US13917669
申请日：2013-06-14
申请人： NVIDIA Corporation
发明人： Niranjan Avadhanam , Ravi Kumar Boddeti
IPC分类号： H04N19/80 , H04N19/44
CPC分类号： H04N19/86 , H04N19/117 , H04N19/14 , H04N19/172 , H04N19/176
摘要： A method includes determining, through a processor and/or a hardware engine, edge pixels and flat pixels of a video frame of a video sequence during decoding thereof or post-processing associated with the decoding based on a predetermined threshold, and quantifying spatial correlation of pixels of the video frame around edges thereof to estimate strength of ringing artifacts and spatial and temporal persistence thereof across the video frame and across video frames of the video sequence. The method also includes adaptively and spatially filtering the pixels around the edges of the video frame, adaptively and temporally filtering the video frame, and blending an output of the adaptive spatial filtering and the adaptive temporal filtering to generate an output with suppressed ringing artifacts, spatial and temporal persistence thereof and artifacts resulting from the cumulative effect of compression therein.
摘要翻译：一种方法包括：通过处理器和/或硬件引擎，在解码期间确定视频序列的视频帧的边缘像素和平坦像素，或者基于预定阈值与解码相关联的后处理，以及量化空间相关性在其边缘周围的视频帧的像素，以估计振荡伪影的强度及其在视频帧和视频序列的视频帧之间的空间和时间持续性。该方法还包括对视频帧的边缘周围的像素进行自适应和空间滤波，对视频帧进行自适应和时间滤波，以及混合自适应空间滤波和自适应时间滤波的输出，以产生具有抑制的振铃伪影的输出，空间其时间持续性和由其中的压缩的累积效应导致的伪像。

2. 发明授权

US12149708B2 Machine learning of encoding parameters for a network using a video encoder 有权
公开(公告)号：US12149708B2
公开(公告)日：2024-11-19
申请号：US17402953
申请日：2021-08-16
申请人： NVIDIA Corporation
发明人： Ravi Kumar Boddeti , Vinayak Pore , Hassane Samir Azar , Prashant Sohani
IPC分类号： H04N19/00 , G06N20/00 , H04N19/127 , H04N19/142 , H04N19/166 , H04N19/65
CPC分类号： H04N19/166 , G06N20/00 , H04N19/127 , H04N19/142 , H04N19/65
摘要： In various examples, machine learning of encoding parameter values for a network is performed using a video encoder. Feedback associated with streaming video encoded by a video encoder over a network may be applied to an MLM(s). Using such feedback, the MLM(s) may predict a value(s) of an encoding parameter(s). The video encoder may then use the value to encode subsequent video data for the streaming. By using the video encoder in training, the MLM(s) may learn based on actual encoded parameter values of the video encoder. The MLM(s) may be trained via reinforcement learning based on video encoded by the video encoder. A rewards metric(s) may be used to train the MLM(s) using data generated or applied to the physical network in which the MLM(s) is to be deployed and/or a simulation thereof. Penalty metric(s) (e.g., the quantity of dropped frames) may also be used to train the MLM(s).

3. 发明授权

US09118932B2 Adaptive filtering mechanism to remove encoding artifacts in video data 有权
标题翻译：自适应滤波机制去除视频数据中的编码伪影
公开(公告)号：US09118932B2
公开(公告)日：2015-08-25
申请号：US13917669
申请日：2013-06-14
申请人： NVIDIA Corporation
发明人： Niranjan Avadhanam , Ravi Kumar Boddeti
IPC分类号： H04N19/86 , H04N19/176 , H04N19/172 , H04N19/117 , H04N19/14
CPC分类号： H04N19/86 , H04N19/117 , H04N19/14 , H04N19/172 , H04N19/176
摘要： A method includes determining, through a processor and/or a hardware engine, edge pixels and flat pixels of a video frame of a video sequence during decoding thereof or post-processing associated with the decoding based on a predetermined threshold, and quantifying spatial correlation of pixels of the video frame around edges thereof to estimate strength of ringing artifacts and spatial and temporal persistence thereof across the video frame and across video frames of the video sequence. The method also includes adaptively and spatially filtering the pixels around the edges of the video frame, adaptively and temporally filtering the video frame, and blending an output of the adaptive spatial filtering and the adaptive temporal filtering to generate an output with suppressed ringing artifacts, spatial and temporal persistence thereof and artifacts resulting from the cumulative effect of compression therein.
摘要翻译：一种方法包括：通过处理器和/或硬件引擎，在解码期间确定视频序列的视频帧的边缘像素和平坦像素，或者基于预定阈值与解码相关联的后处理，以及量化空间相关性在其边缘周围的视频帧的像素，以估计振荡伪影的强度及其在视频帧和视频序列的视频帧之间的空间和时间持续性。该方法还包括对视频帧的边缘周围的像素进行自适应和空间滤波，对视频帧进行自适应和时间滤波，以及混合自适应空间滤波和自适应时间滤波的输出，以产生具有抑制的振铃伪影的输出，空间其时间持续性和由其中的压缩的累积效应导致的伪像。

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