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。

公开(公告)号：US20070171988A1

公开(公告)日：2007-07-26

申请号：US11384106

申请日：2006-03-16

申请人： Prasanjit Panda ,  Khaled El-Maleh ,  Hsiang-Tsun Li

发明人： Prasanjit Panda ,  Khaled El-Maleh ,  Hsiang-Tsun Li

IPC分类号： H04B1/66

CPC分类号： H04N19/85 ,  H04N19/117 ,  H04N19/136 ,  H04N19/137 ,  H04N19/14 ,  H04N19/149 ,  H04N19/15 ,  H04N19/152 ,  H04N19/157 ,  H04N19/172 ,  H04N19/61 ,  H04N19/80

摘要： This disclosure describes adaptive filtering techniques to improve the quality of captured imagery, such as video or still images. In particular, this disclosure describes adaptive filtering techniques that filter each pixel as a function of a set of surrounding pixels. An adaptive image filter may compare image information associated with a pixel of interest to image information associated with a set of surrounding pixels by, for example, computing differences between the image information associated with the pixel of interest and each of the surrounding pixels of the set. The computed differences can be used in a variety of ways to filter image information of the pixel of interest. In some embodiments, for example, the adaptive image filter may include both a low pass component and high pass component that adjust as a function of the computed differences.

摘要翻译： 本公开描述了自适应滤波技术，以改善所捕获图像的质量，例如视频或静止图像。 特别地，本公开描述了根据一组周围像素来滤除每个像素的自适应滤波技术。 自适应图像滤波器可以通过例如计算与感兴趣像素相关联的图像信息与该组的每个周围像素之间的差异来比较与感兴趣像素相关联的图像信息与与一组周围像素相关联的图像信息 。 计算的差异可以以各种方式用于过滤感兴趣像素的图像信息。 在一些实施例中，例如，自适应图像滤波器可以包括作为所计算的差异的函数调整的低通分量和高通分量两者。

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。

公开(公告)号：US20050265399A1

公开(公告)日：2005-12-01

申请号：US11197178

申请日：2005-08-03

申请人： Khaled El-Maleh ,  Ananthapadmanabhan Kandhadai

发明人： Khaled El-Maleh ,  Ananthapadmanabhan Kandhadai

IPC分类号： H04L1/00 ,  H04L1/08 ,  H04W88/18 ,  H04J3/16

CPC分类号： H04W88/181 ,  H04L1/0014 ,  H04L1/0046 ,  H04L1/0068 ,  H04L1/0071 ,  H04L1/0078 ,  H04L1/08 ,  H04L2001/0098

摘要： Methods and apparatus are presented for supporting the transmission of variable-rate vocoder frames over non-compatible communication channels. Variable-rate vocoder frames are re-formatted as cargo in multi-rate vocoder frames. At the receiver, a determination is made as to whether a received multi-rate vocoder frame carries a variable-rate vocoder frame cargo. If a variable-rate vocoder frame is cargo, then a determination of the frame type is made. Various embodiments for conveying cargo information are presented.

摘要翻译： 提出了用于支持通过不兼容通信信道传输可变速率声码器帧的方法和装置。 可变速率声码器帧被重新格式化为多速率声码器帧中的货物。 在接收机处，确定接收的多速率声码器帧是否携带可变速率声码器帧货物。 如果可变速率声码器帧是货物，则确定帧类型。 呈现了用于传送货物信息的各种实施例。

公开(公告)号：US20050201627A1

公开(公告)日：2005-09-15

申请号：US10957512

申请日：2004-09-30

申请人： Yi Liang ,  Khaled El-Maleh

发明人： Yi Liang ,  Khaled El-Maleh

IPC分类号： H04N7/26 ,  H04N7/50 ,  G06K9/36 ,  G06K9/46

CPC分类号： H04N19/164 ,  H04N19/107 ,  H04N19/109 ,  H04N19/11 ,  H04N19/136 ,  H04N19/146 ,  H04N19/156 ,  H04N19/162 ,  H04N19/176 ,  H04N19/196 ,  H04N19/197 ,  H04N19/61

摘要： Methods and apparatus are presented for reducing the computational complexity of coding mode decisions by exploiting the correlations across spatially and/or temporally close coding mode decisions. A mode decision for a current macroblock is based on the mode decisions of spatially and/or temporarily close macroblocks.

摘要翻译： 提出了通过利用空间和/或时间上紧密的编码模式决定之间的相关性来降低编码模式决策的计算复杂度的方法和装置。 用于当前宏块的模式决定基于空间和/或临时关闭宏块的模式决定。