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    • 1. 发明申请
    • VIDEO SENSOR-BASED AUTOMATIC REGION-OF-INTEREST DETECTION
    • 基于视频传感器的自动区域检测
    • WO2007044674A2
    • 2007-04-19
    • PCT/US2006/039410
    • 2006-10-05
    • QUALCOMM INCORPORATEDWANG, HaohongCHIU, Chinchuan, AndrewEL-MALEH, Khaled, HelmiQUAN, ShuxueJIANG, Xiaoyun
    • WANG, HaohongCHIU, Chinchuan, AndrewEL-MALEH, Khaled, HelmiQUAN, ShuxueJIANG, Xiaoyun
    • G06K9/00H04N1/62H04N9/64
    • 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。
    • 4. 发明申请
    • INTRA-MODE REGION-OF-INTEREST VIDEO OBJECT SEGMENTATION
    • 内部模式的利益较大的视频对象分段
    • WO2007092905A2
    • 2007-08-16
    • PCT/US2007/061803
    • 2007-02-07
    • QUALCOMM INCORPORATEDWANG, HaohongEL-MALEH, Khaled, Helmi
    • WANG, HaohongEL-MALEH, Khaled, Helmi
    • H04N19/17G06K9/00234G06K9/00248G06K9/00261G06K9/00604
    • 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.
    • 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。
    • 10. 发明公开
    • INTER-MODE REGION-OF-INTEREST VIDEO OBJECT SEGMENTATION
    • ZWISCHENMODUS-VIDEOOBJEKTSEGMENTIERUNG区域
    • EP1982529A2
    • 2008-10-22
    • EP07763153.9
    • 2007-02-07
    • QUALCOMM Incorporated
    • WANG, HaohongEL-MALEH, Khaled, Helmi
    • H04N7/26H04N7/32G06K9/00G06T5/00
    • G06K9/00248G06K9/00261G06K9/00281G06K9/00604G06K9/3233G06T7/11G06T7/174G06T7/194G06T7/215G06T7/251G06T7/254G06T2207/20132G06T2207/30201H04N19/17H04N19/20H04N19/503
    • 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.
    • 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。