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    • 21. 发明授权
    • Decoder-side region of interest video processing
    • 解码器侧感兴趣区域视频处理
    • US08744203B2
    • 2014-06-03
    • US13458387
    • 2012-04-27
    • Khaled Helmi El-MalehVijay MahadevanHaohong Wang
    • Khaled Helmi El-MalehVijay MahadevanHaohong Wang
    • G06K9/00
    • H04N21/4621H04N19/117H04N19/126H04N19/159H04N19/17H04N19/176H04N19/186H04N19/44H04N19/46H04N19/48H04N19/70H04N19/895H04N21/4728
    • The disclosure is directed to decoder-side region-of-interest (ROI) video processing. A video decoder determines whether ROI assistance information is available. If not, the decoder defaults to decoder-side ROI processing. The decoder-side ROI processing may estimate the reliability of ROI extraction in the bitstream domain. If ROI reliability is favorable, the decoder applies bitstream domain ROI extraction. If ROI reliability is unfavorable, the decoder applies pixel domain ROI extraction. The decoder may apply different ROI extraction processes for intra-coded (I) and inter-coded (P or B) data. The decoder may use color-based ROI generation for intra-coded data, and coded block pattern (CBP)-based ROI generation for inter-coded data. ROI refinement may involve shape-based refinement for intra-coded data, and motion- and color-based refinement for inter-coded data.
    • 本公开涉及解码器侧感兴趣区域(ROI)视频处理。 视频解码器确定ROI辅助信息是否可用。 如果不是,则解码器默认为解码器侧ROI处理。 解码器侧ROI处理可以估计比特流域中的ROI提取的可靠性。 如果ROI可靠性较好,则解码器应用比特流域ROI提取。 如果ROI可靠性不利,则解码器应用像素域ROI提取。 解码器可以对帧内编码(I)和帧间编码(P或B)数据应用不同的ROI提取处理。 解码器可以使用用于帧内编码数据的基于颜色的ROI生成,以及用于帧间编码数据的基于编码块模式(CBP)的ROI生成。 ROI细化可能涉及帧内编码数据的基于形状的细化,以及帧间编码数据的基于运动和颜色的细化。
    • 22. 发明授权
    • Selective display of interpolated or extrapolated video units
    • 插值或外插视频单元的选择性显示
    • US08660175B2
    • 2014-02-25
    • US12111782
    • 2008-04-29
    • Gokce DaneKhaled Helmi El-MalehMin DaiChia-Yuan Teng
    • Gokce DaneKhaled Helmi El-MalehMin DaiChia-Yuan Teng
    • H04N7/12
    • H04N7/0132H04N5/145H04N19/105H04N19/132H04N19/139H04N19/154H04N19/156H04N19/172H04N19/51H04N19/521H04N19/573H04N19/577H04N19/587H04N19/61
    • Display of an interpolated or extrapolated video unit, such as a video frame, may be selectively enabled based on a quality analysis. This disclosure also describes selection of reference video frames to be used for interpolation or extrapolation. A decoder may apply a quality-focused mode to select a reference frame based on quality criteria. The quality criteria may indicate a level of quality likely to be produced by a reference frame. If no reference frames satisfy the quality criteria, interpolation or extrapolation may be disabled. A decoder may apply a resource-focused frame interpolation mode to enable or disable frame interpolation or extrapolation for some frames based on power and quality considerations. In one mode, frame interpolation may be disabled to conserve power when reference frames are not likely to produce satisfactory quality. In another mode, the threshold may be adjustable as a function of power saving requirements of the decoder.
    • 可以基于质量分析来选择性地启用内插或外推视频单元(例如视频帧)的显示。 本公开还描述了用于插值或外推的参考视频帧的选择。 解码器可以基于质量标准应用以质量为中心的模式来选择参考帧。 质量标准可能表明可能由参考系产生的质量水平。 如果没有参考帧满足质量标准,则可以禁用内插或外推。 解码器可以应用基于资源的帧插值模式,以基于功率和质量考虑为某些帧启用或禁用帧插值或外插。 在一种模式中,当参考帧不可能产生令人满意的质量时,帧内插可被禁用以节省功率。 在另一种模式中,阈值可以作为解码器节能要求的函数来调整。
    • 23. 发明授权
    • 3D video encoding
    • 3D视频编码
    • US08594180B2
    • 2013-11-26
    • US11677335
    • 2007-02-21
    • Kai Chieh YangHaohong WangKhaled Helmi El-MalehSharath Manjunath
    • Kai Chieh YangHaohong WangKhaled Helmi El-MalehSharath Manjunath
    • G06F21/00
    • H04N19/194H04N13/122H04N19/124H04N19/147H04N19/149H04N19/172H04N19/176H04N19/597H04N19/61
    • A stereo 3D video frame includes left and right components that are combined to produce a stereo image. For a given amount of distortion, the left and right components may have different impacts on perceptual visual quality of the stereo image due to asymmetry in the distortion response of the human eye. A 3D video encoder adjusts an allocation of coding bits between left and right components of the 3D video based on a frame-level bit budget and a weighting between the left and right components. The video encoder may generate the bit allocation in the rho (ρ) domain. The weighted bit allocation may be derived based on a quality metric that indicates overall quality produced by the left and right components. The weighted bit allocation compensates for the asymmetric distortion response to reduce overall perceptual distortion in the stereo image and thereby enhance or maintain visual quality.
    • 立体3D视频帧包括组合以产生立体图像的左和右组件。 对于给定量的失真,由于人眼的失真响应的不对称,左和右分量可能对立体图像的感知视觉质量具有不同的影响。 3D视频编码器基于帧级比特预算和左右分量之间的加权来调整3D视频的左和右分量之间的编码比特的分配。 视频编码器可以在rho(rho)域中生成比特分配。 可以基于指示左组件和右组件产生的总体质量的质量度量来导出加权比特分配。 加权比特分配补偿非对称失真响应,以减少立体图像中的整体感知失真,从而增强或维持视觉质量。
    • 26. 发明授权
    • Video sensor-based automatic region-of-interest detection
    • 基于视频传感器的自动感兴趣区域检测
    • US08208758B2
    • 2012-06-26
    • US11363820
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/20
    • G06K9/00234H04N1/628H04N9/643
    • The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
    • 本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域(ROI)视频处理技术。 低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括基于特定视频传感器的特性,能够在视频通信设备内调整和增强视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。 所公开的技术还包括基于运动的ROI检测技术,其使用在视频处理中的运动估计期间获得的运动信息。
    • 28. 发明授权
    • Video frame motion-based automatic region-of-interest detection
    • 基于视频帧运动的自动感兴趣区域检测
    • US08019170B2
    • 2011-09-13
    • US11364285
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/36G06K9/00H04N11/02
    • G06K9/00234H04N19/17H04N19/61
    • The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
    • 本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域(ROI)视频处理技术。 低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括基于特定视频传感器的特性,能够在视频通信设备内调整和增强视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。 所公开的技术还包括基于运动的ROI检测技术,其使用在视频处理中的运动估计期间获得的运动信息。