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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。
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2.发明申请公开(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
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。
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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
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。
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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
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。
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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。
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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
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。
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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
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。
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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
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。
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9.发明授权Real-time capturing and generating stereo images and videos with a monoscopic low power mobile device 有权使用单视低功耗移动设备实时捕获和生成立体声图像和视频公开(公告)号：US08970680B2
公开(公告)日：2015-03-03
申请号：US11497906
申请日：2006-08-01
申请人： Haohong Wang , Hsiang-Tsun Li , Sharath Manjunath
发明人： Haohong Wang , Hsiang-Tsun Li , Sharath Manjunath
CPC分类号： H04N13/261 , G06T7/571 , G06T2207/10012 , H04N5/2226 , H04N5/23212 , H04N13/128 , H04N13/161 , H04N13/207 , H04N13/236 , H04N13/271 , H04N13/275
摘要： A monoscopic low-power mobile device is capable of creating real-time stereo images and videos from a single captured view. The device uses statistics from an autofocusing process to create a block depth map of a single capture view. Artifacts in the block depth map are reduced and an image depth map is created. Stereo three-dimensional (3D) left and right views are created from the image depth map using a Z-buffer based 3D surface recover process and a disparity map which is a function of the geometry of binocular vision.
摘要翻译： 单视低功率移动设备能够从单个捕获的视图创建实时立体图像和视频。 该设备使用自动对焦过程的统计信息来创建单个捕获视图的块深度图。 减少块深度图中的人工制品，并创建图像深度图。 使用基于Z缓冲的3D表面恢复过程和作为双目视觉几何的函数的视差图，从图像深度图创建立体三维（3D）左视图和右视图。
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公开(公告)号：US08869211B2
公开(公告)日：2014-10-21
申请号：US13663706
申请日：2012-10-30
申请人： Haohong Wang
发明人： Haohong Wang
IPC分类号： G06F3/00 , G06F13/00 , H04N5/445 , H04N21/482 , H04N21/443 , G06F17/22 , H04N21/466 , H04N21/25 , H04N21/45 , H04N21/431
CPC分类号： H04N21/4826 , G06F17/2241 , G06F17/30058 , H04N21/25 , H04N21/251 , H04N21/431 , H04N21/4312 , H04N21/4438 , H04N21/45 , H04N21/466 , H04N21/4668 , H04N21/482
摘要： A method is provided for a content recommendation module. The method includes receiving a user input related to viewing contents from a user and determining whether a recommendation pool containing a plurality of selected recommendation candidates has been changed corresponding to the input. The method also includes, when the recommendation pool has been changed, mapping the plurality of selected recommendation candidates in the changed recommendation pool into a hierarchical data structure with a plurality of levels such that each of the plurality of levels acts as a stage of a zoom operation on the selected recommendation candidates. Further, the method includes rendering mapped recommendation candidates from the plurality of levels to be displayed to the user.
摘要翻译： 提供了一种用于内容推荐模块的方法。 该方法包括从用户接收与观看内容相关的用户输入，并且确定包含多个所选推荐候选的推荐池是否已经相应于输入而改变。 该方法还包括当推荐池已经被改变时，将改变的推荐池中的多个选择的推荐候选映射到具有多个级别的分级数据结构，使得多个级别中的每一个级别作为缩放级 对所选推荐候选人的操作。 此外，该方法包括将来自多个级别的映射的推荐候选图像呈现给用户。
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