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1.
公开(公告)号:US20160323556A1
公开(公告)日:2016-11-03
申请号:US14862027
申请日:2015-09-22
IPC分类号: H04N9/67 , H04N19/124 , H04N19/60 , H04N19/52 , H04N19/44 , H04N19/184 , H04N19/593 , H04N19/186 , H04N19/18
CPC分类号: H04N19/186 , G06T5/007 , H04N9/67 , H04N19/124 , H04N19/85
摘要: A video coding pipeline is provided that can accommodate high dynamic range (HDR) and wide color gamut (WCG) content at a fixed bitrate. The video coding pipeline relies on separate chromaticity and luminance-specific transforms in order to process image content. Image content may be converted into a nearly perceptually uniform color space for coding in constant luminance. Moreover, chromaticity transforms are utilized which reduce coding errors in the chroma components (at the fixed bitrate) by enlarging the distribution of code words for compression.
摘要翻译: 提供了可以以固定比特率适应高动态范围(HDR)和宽色域(WCG)内容的视频编码流水线。 视频编码流水线依赖于单独的色度和亮度特定的变换来处理图像内容。 图像内容可以转换成几乎感知上均匀的颜色空间,用于以恒定亮度进行编码。 此外,利用通过扩大用于压缩的代码字的分布来减少色度分量(以固定比特率)的编码错误的色度变换。
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2.
公开(公告)号:US20180131841A1
公开(公告)日:2018-05-10
申请号:US15458899
申请日:2017-03-14
发明人: SAMIR MAHMALAT , TUNC OZAN AYDIN , ALJOSA SMOLIC
CPC分类号: H04N1/6058 , G06T9/00 , H04N1/6005 , H04N1/6008 , H04N1/644 , H04N19/186 , H04N19/85 , H04N19/98
摘要: The disclosure describes a high dynamic range video coding pipeline that may reduce color artifacts and improve compression efficiency. The disclosed pipeline separates the luminance component from the chrominance components of an input signal (e.g., an RGB source video) and applies a scaling of the chrominance components before encoding, thereby reducing perceivable color artifacts while maintaining luminance quality.
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公开(公告)号:US20150063709A1
公开(公告)日:2015-03-05
申请号:US14014077
申请日:2013-08-29
发明人: OLIVER WANG , ALJOSA SMOLIC
IPC分类号: G06T7/00
CPC分类号: G06T7/12 , G06T7/174 , G06T7/215 , G06T2207/10016 , G06T2207/20021
摘要: Methods and systems described herein detect object boundaries of videos. A window around the pixel may be followed in adjacent image frames of the image frame to determine object boundaries. Inconsistencies in image patches over a temporal window are detected, and each pixel of the image frame of a video is assigned an object boundary probability. The pixel may belong to a texture edge if the window content does not change throughout the adjacent image frames, or the pixel may belong to an object boundary if the window content changes. A probability value indicating the likelihood of the pixel belonging to an object boundary is determined based on the window content change and is assigned to the corresponding pixel.
摘要翻译: 本文所述的方法和系统检测视频的对象边界。 可以在图像帧的相邻图像帧中跟随像素周围的窗口以确定对象边界。 检测在时间窗口上的图像块中的不一致性,并且为视频的图像帧的每个像素分配对象边界概率。 如果窗口内容在整个相邻图像帧中不改变,则像素可以属于纹理边缘,或者如果窗口内容改变,则像素可能属于对象边界。 基于窗口内容变化来确定指示属于对象边界的像素的可能性的概率值,并将其分配给对应的像素。
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