Abstract: 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.

Abstract: 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.

Abstract: This disclosure describes rate control techniques that can improve video coding based on a “two-pass” approach. The first pass codes a video sequence using a first set of quantization parameters (QPs) for the purpose of estimating rate-distortion characteristics of the video sequence based on the statistics of the first pass. A second set of QPs can then be defined for a second coding pass. The estimated rate-distortion characteristics of the first pass are used to select QPs for the second pass in a manner that minimizes distortion of the frames of the video sequence.

Abstract: This disclosure describes rate control techniques that can improve video coding based on a “two-pass” approach. The first pass codes a video sequence using a first set of quantization parameters (QPs) for the purpose of estimating rate-distortion characteristics of the video sequence based on the statistic of the first pass. A second set of QPs can then be defined for a second coding pass. The estimated rate-distortion characteristics of the first pass are used to select Qps for the second pass in a manner that minimizes quality fluctuation between the frames of the video sequence.

Abstract: The disclosure is directed to video processing. The various video processing techniques include generating blocks of information for a frame of video, allocating bits from a bit budget to each of the blocks, the number of bits being allocated to each of the blocks being a function of the information contained therein, and using the bits allocated to each of the blocks to represent the information contained therein.

Abstract: 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.

Abstract: 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.

Abstract: The disclosure is directed to techniques for region-of-interest (ROI) coding for video telephony (VT). The disclosed techniques also include techniques for allocation of bits to ROI and non-ROI areas using weighted bit allocation models at the macroblock (MB) level within the p domain.

Abstract: 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.