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1. 发明申请

US20060204113A1 Content-adaptive background skipping for region-of-interest video coding 有权
标题翻译：针对感兴趣区域视频编码的内容自适应背景跳过
公开(公告)号：US20060204113A1
公开(公告)日：2006-09-14
申请号：US11200407
申请日：2005-08-09
申请人： Haohong Wang , Khaled El-Maleh , Yi Liang
发明人： Haohong Wang , Khaled El-Maleh , Yi Liang
IPC分类号： G06K9/36 , H04N11/02
CPC分类号： H04N19/198 , H04N19/115 , H04N19/126 , H04N19/132 , H04N19/137 , H04N19/14 , H04N19/147 , H04N19/154 , H04N19/162 , H04N19/17 , H04N19/172 , H04N19/177 , H04N19/196 , H04N19/587
摘要： The disclosure is directed to techniques for content-adaptive background skipping for region-of-interest (ROI) video coding. The techniques may be useful in video telephony (VT) applications such as video streaming and videoconferencing, and especially useful in low bit-rate wireless communication applications, such as mobile VT. The disclosed techniques analyze content information of a video frame to dynamically determine whether to skip a non-ROI area within the frame. For example, the skipping determination may be based on content activity, such as ROI shape deformation, ROI motion, non-ROI motion, non-ROI texture complexity, and accumulated distortion due to non-ROI skipping. The skip determination may operate in conjunction with either frame-level or macroblock-level bit allocation.
摘要翻译：本公开涉及用于感兴趣区域（ROI）视频编码的内容自适应背景跳过技术。这些技术在诸如视频流和视频会议的视频电话（VT）应用中可能是有用的，并且在诸如移动VT的低比特率无线通信应用中尤其有用。所公开的技术分析视频帧的内容信息以动态地确定是否跳过帧内的非ROI区域。例如，跳过确定可以基于诸如ROI形状变形，ROI运动，非ROI运动，非ROI纹理复杂度以及由于非ROI跳过而导致的累积失真的内容活动。跳过确定可以与帧级或宏块级位分配一起操作。

2. 发明申请

US20060238444A1 Quality metric-biased region-of-interest coding for video telephony 有权
标题翻译：用于视频电话的质量度量偏好的兴趣区编码
公开(公告)号：US20060238444A1
公开(公告)日：2006-10-26
申请号：US11199773
申请日：2005-08-09
申请人： Haohong Wang , Khaled El-Maleh
发明人： Haohong Wang , Khaled El-Maleh
IPC分类号： G09G3/20
CPC分类号： H04N19/198 , H04N19/115 , H04N19/126 , H04N19/132 , H04N19/137 , H04N19/14 , H04N19/147 , H04N19/154 , H04N19/162 , H04N19/17 , H04N19/172 , H04N19/196 , H04N19/587
摘要： The disclosure is directed to techniques for region-of-interest (ROI) coding for video telephony (VT). The disclosed techniques include a technique for generation of a quality metric for ROI video, which jointly considers a user's degree of interest in the ROI, ROI video fidelity, and ROI perceptual quality in evaluating the quality of an encoded video sequence. The quality metric may be used to bias ROI coding and, in particular, the allocation of coding bits between ROI and non-ROI areas of a video frame.
摘要翻译：本公开涉及用于视频电话（VT）的感兴趣区域（ROI）编码技术。所公开的技术包括用于生成用于ROI视频的质量度量的技术，其在评估编码视频序列的质量时共同考虑用户对ROI的感兴趣度，ROI视频保真度和ROI感知质量。质量度量可以用于偏移ROI编码，特别是视频帧的ROI和非ROI区域之间的编码比特的分配。

3. 发明申请

US20070183661A1 Multi-mode region-of-interest video object segmentation 有权
标题翻译：多模式感兴趣区域视频对象分割
公开(公告)号：US20070183661A1
公开(公告)日：2007-08-09
申请号：US11349659
申请日：2006-02-07
申请人： Khaled El-Maleh , Haohong Wang
发明人： Khaled El-Maleh , Haohong Wang
IPC分类号： G06K9/34 , G06K9/00
CPC分类号： G06K9/00234 , G06K9/00248 , G06T7/11 , G06T7/174 , G06T7/194 , G06T7/215 , G06T2207/10016 , G06T2207/20036 , G06T2207/20132 , G06T2207/30201
摘要： The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.
摘要翻译：本公开涉及从视频序列自动分割感兴趣区域（ROI）视频对象的技术。 ROI对象分割使得可以从视频序列的非ROI或“背景”区域中提取观看者感兴趣的视频序列的所选ROI或“前景”对象。 ROI对象的示例是人体的人脸或头肩部区域。所公开的技术包括组合ROI特征检测，区域分割和背景减除的混合技术。以这种方式，所公开的技术可以从视频序列提供前景对象生成和前景对象的低复杂度提取的准确性。 ROI对象分割系统可以实现本文描述的技术。此外，ROI对象分割可能在使用诸如视频电话应用和视频监控应用之类的视频序列的多种多媒体应用中是有用的。

4. 发明申请

US20070076957A1 Video frame motion-based automatic region-of-interest detection 有权
标题翻译：基于视频帧运动的自动感兴趣区域检测
公开(公告)号：US20070076957A1
公开(公告)日：2007-04-05
申请号：US11364285
申请日：2006-02-28
申请人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chlachuan Chiu , Xiaoyun Jiang
发明人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chlachuan Chiu , Xiaoyun Jiang
IPC分类号： G06K9/46 , G06K9/00 , G06K9/34
CPC分类号： G06K9/00234 , H04N19/17 , H04N19/61
摘要： 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.
摘要翻译：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。

5. 发明申请

US20060238445A1 Region-of-interest coding with background skipping for video telephony 失效
标题翻译：视频电话背景跳过的利益区域编码
公开(公告)号：US20060238445A1
公开(公告)日：2006-10-26
申请号：US11199937
申请日：2005-08-09
申请人： Haohong Wang , Khaled El-Maleh
发明人： Haohong Wang , Khaled El-Maleh
IPC分类号： G09G3/20
CPC分类号： H04N19/198 , H04N19/115 , H04N19/126 , H04N19/132 , H04N19/137 , H04N19/14 , H04N19/147 , H04N19/154 , H04N19/162 , H04N19/17 , H04N19/172 , H04N19/176 , H04N19/177 , H04N19/196 , H04N19/587
摘要： The disclosure is directed to techniques for region-of-interest (ROI) coding for video telephony (VT). The disclosed techniques include adaptive skipping of non-ROI (i.e., background) areas to conserve encoding bits for allocation to the ROI.
摘要翻译：本公开涉及用于视频电话（VT）的感兴趣区域（ROI）编码技术。所公开的技术包括非ROI（即背景）区域的自适应跳过以节省用于分配给ROI的编码比特。

6. 发明申请

US20070183663A1 Intra-mode region-of-interest video object segmentation 失效
标题翻译：视频内部模式区域视频对象分割
公开(公告)号：US20070183663A1
公开(公告)日：2007-08-09
申请号：US11350376
申请日：2006-02-07
申请人： Haohong Wang , Khaled El-Maleh
发明人： Haohong Wang , Khaled El-Maleh
IPC分类号： G06K9/34 , G06K9/46
CPC分类号： H04N19/17 , G06K9/00234 , G06K9/00248 , G06K9/00261 , G06K9/00604
摘要： The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.
摘要翻译：本公开涉及用于从视频序列自动分割感兴趣区域（ROI）视频对象的技术。 ROI对象分割使得可以从视频序列的非ROI或“背景”区域中提取观看者感兴趣的视频序列的所选ROI或“前景”对象。 ROI对象的示例是人体的人脸或头肩部区域。所公开的技术包括组合ROI特征检测，区域分割和背景减除的混合技术。以这种方式，所公开的技术可以从视频序列提供前景对象生成和前景对象的低复杂度提取的准确性。 ROI对象分割系统可以实现本文描述的技术。此外，ROI对象分割可能在使用诸如视频电话应用和视频监控应用之类的视频序列的多种多媒体应用中是有用的。

7. 发明申请

US20070183662A1 Inter-mode region-of-interest video object segmentation 有权
标题翻译：模式间感兴趣的视频对象分割
公开(公告)号：US20070183662A1
公开(公告)日：2007-08-09
申请号：US11350344
申请日：2006-02-07
申请人： Haohong Wang , Khaled El-Maleh
发明人： Haohong Wang , Khaled El-Maleh
IPC分类号： G06K9/34 , G06K9/46
CPC分类号： G06K9/00248 , G06K9/00261 , G06K9/00281 , G06K9/00604 , G06K9/3233 , G06T7/11 , G06T7/174 , G06T7/194 , G06T7/215 , G06T7/251 , G06T7/254 , G06T2207/20132 , G06T2207/30201 , H04N19/17 , H04N19/20 , H04N19/503
摘要： The disclosure is directed to techniques for automatic segmentation of a region-of-interest (ROI) video object from a video sequence. ROI object segmentation enables selected ROI or “foreground” objects of a video sequence that may be of interest to a viewer to be extracted from non-ROI or “background” areas of the video sequence. Examples of a ROI object are a human face or a head and shoulder area of a human body. The disclosed techniques include a hybrid technique that combines ROI feature detection, region segmentation, and background subtraction. In this way, the disclosed techniques may provide accurate foreground object generation and low-complexity extraction of the foreground object from the video sequence. A ROI object segmentation system may implement the techniques described herein. In addition, ROI object segmentation may be useful in a wide range of multimedia applications that utilize video sequences, such as video telephony applications and video surveillance applications.
摘要翻译：本公开涉及从视频序列自动分割感兴趣区域（ROI）视频对象的技术。 ROI对象分割使得可以从视频序列的非ROI或“背景”区域中提取观看者感兴趣的视频序列的所选ROI或“前景”对象。 ROI对象的示例是人体的人脸或头肩部区域。所公开的技术包括组合ROI特征检测，区域分割和背景减除的混合技术。以这种方式，所公开的技术可以从视频序列提供前景对象生成和前景对象的低复杂度提取的准确性。 ROI对象分割系统可以实现本文描述的技术。此外，ROI对象分割可能在使用诸如视频电话应用和视频监控应用之类的视频序列的多种多媒体应用中是有用的。

8. 发明申请

US20070076947A1 Video sensor-based automatic region-of-interest detection 失效
标题翻译：基于视频传感器的自动感兴趣区域检测
公开(公告)号：US20070076947A1
公开(公告)日：2007-04-05
申请号：US11363820
申请日：2006-02-28
申请人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chiuchuna Chiu , Xiaoyun Jiang
发明人： Haohong Wang , Shuxue Quan , Khaled El-Maleh , Chiuchuna Chiu , Xiaoyun Jiang
IPC分类号： G06K9/00 , G06K9/34 , G06K9/46
CPC分类号： G06K9/00234 , H04N1/628 , H04N9/643
摘要： 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.
摘要翻译：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。

9. 发明申请

US20060198443A1 Adaptive frame skipping techniques for rate controlled video encoding 有权
公开(公告)号：US20060198443A1
公开(公告)日：2006-09-07
申请号：US11193249
申请日：2005-07-29
申请人： Yi Liang , Khaled El-Maleh
发明人： Yi Liang , Khaled El-Maleh
IPC分类号： H04N11/02 , H04N11/04 , H04B1/66 , H04N7/12
CPC分类号： H04N19/146 , H04N19/132 , H04N19/139 , H04N19/172 , H04N19/61
摘要： The disclosure is directed to adaptive frame skipping techniques for rate controlled video encoding of a video sequence. According to the disclosed techniques, an encoder performs frame skipping in an intelligent manner that can improve video quality of the encoded sequence relative to encoding using conventional frame skipping. In particular, the disclosed frame skipping scheme is adaptive and considers motion activity of the video frames in order to identify certain frames that can be skipped without sacrificing significant video quality. The described frame skipping techniques may take into account the tradeoff between spatial and temporal quality of different video frames. In this manner, the techniques can allocate limited resources between the spatial and temporal quality in a way that can improve the visual appearance of a video sequence.

10. 发明申请

US20060078051A1 Adaptive intra-refresh for digital video encoding 有权
公开(公告)号：US20060078051A1
公开(公告)日：2006-04-13
申请号：US11025297
申请日：2004-12-28
申请人： Yi Liang , Khaled El-Maleh , Sharath Manjunath
发明人： Yi Liang , Khaled El-Maleh , Sharath Manjunath
IPC分类号： H04N11/04 , H04N7/12 , H04B1/66 , H04N11/02
CPC分类号： H04N19/00278 , H04N19/107 , H04N19/14 , H04N19/147 , H04N19/164 , H04N19/172 , H04N19/176 , H04N19/61 , H04N19/89
摘要： An adaptive Intra-refresh (IR) technique for digital video encoding adjusts IR rate based on video content, or a combination of video content and channel condition. The IR rate may be applied at the frame level or macroblock (MB) level. At the frame level, the IR rate specifies the percentage of MBs to be Intra-coded within the frame. At the MB level, the IR rate defines a statistical probability that a particular MB is to be Intra-coded. The IR rate is adjusted in proportion to a combined metric that weighs estimated channel loss probability, frame-to-frame variation, and texture information. The IR rate can be determined using a close-form solution that requires relatively low implementation complexity. For example, such a close-form does not require iteration or an exhaustive search. In addition, the IR rate can be determined from parameters that are available before motion estimation and compensation are performed.

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