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    • 1. 发明申请
    • METHOD FOR BROWSING VIDEO STREAMS
    • 浏览视频流的方法
    • US20110249746A1
    • 2011-10-13
    • US12998899
    • 2009-12-08
    • Jiheng YangLi Hua ZhuHui Zhang
    • Jiheng YangLi Hua ZhuHui Zhang
    • H04N7/26
    • H04N19/00H04N7/0102H04N7/0125H04N7/0152H04N7/0157H04N19/48H04N21/234363H04N21/234381H04N21/43637
    • Video equipment, e.g. for TV producers studios, need to display multiple channels of bit-streams simultaneously. Decoding multiple streams of high bit-rate videos is extremely computational intensive. An improved method for browsing an encoded frequency domain video sequence comprises steps of determining a spatial and/or temporal reduction level for browsing a video sequence, determining according to the determined reduction level frames, fields or parts of blocks or macroblocks to be skipped for decoding, and decoding the remaining data to a video with lower spatial and/or temporal resolution. The reduction may include adaptive partial coefficient decoding, motion vector truncation and/or simplified deblocking filtering. The reduction of spatial resolution is advantageously performed in the frequency domain, so that the inverse quantization process and the iDCT processes require less computing.
    • 视频设备,例如 对于电视制作工作室,需要同时显示多个通道的位流。 解码多个高比特率视频流是非常计算密集的。 用于浏览编码的频域视频序列的改进方法包括确定用于浏览视频序列的空间和/或时间缩减级别的步骤,根据所确定的缩减级别帧,要跳过的块或宏块的区域或部分进行解码 并且将剩余数据解码为具有较低空间和/或时间分辨率的视频。 减少可以包括自适应部分系数解码,运动矢量截断和/或简化的去块滤波。 有利地在频域中执行空间分辨率的降低,使得逆量化处理和iDCT处理需要更少的计算。
    • 6. 发明申请
    • Method for video decoding supported by graphics processing unit
    • 由图形处理单元支持的视频解码方法
    • US20100135418A1
    • 2010-06-03
    • US12590978
    • 2009-11-17
    • Hui ZhangLi Hua ZhuCharles Chuanming Wang
    • Hui ZhangLi Hua ZhuCharles Chuanming Wang
    • H04N11/02
    • H04N19/423H04N19/436H04N19/44
    • A method for utilizing a CUDA based GPU to accelerate a complex, sequential task such as video decoding, comprises decoding on a CPU headers and macroblocks of encoded video, performing inverse quantization (on CPU or GPU), transferring the picture data to GPU, where it is stored in a global buffer, and then on the GPU performing inverse waveform transforming of the inverse quantized data, performing motion compensation, buffering the reconstructed picture data in a GPU global buffer, determining if the decoded picture data are used as reference for decoding a further picture, and if so, copying the decoded picture data from the GPU global buffer to a GPU texture buffer. Advantages are that the data communication between CPU and GPU is minimized, the workload of CPU and GPU is balanced and the modules off-loaded to GPU can be efficiently realized since they are data-parallel and compute-intensive.
    • 一种利用基于CUDA的GPU来加速诸如视频解码的复杂顺序任务的方法包括对编码视频的CPU头部和宏块进行解码,执行逆量化(在CPU或GPU上),将图像数据传送到GPU,其中 存储在全局缓冲器中,然后在GPU上执行逆量化数据的逆波形变换,执行运动补偿,在GPU全局缓冲器中缓冲重建的图像数据,确定解码的图像数据是否用作解码的参考 如果是,将解码的图像数据从GPU全局缓冲器复制到GPU纹理缓冲器。 优点是CPU和GPU之间的数据通信最小化,CPU和GPU的工作负载平衡,并且卸载到GPU的模块可以有效地实现,因为它们是数据并行和计算密集型的。
    • 7. 发明授权
    • Method for video decoding supported by graphics processing unit
    • 由图形处理单元支持的视频解码方法
    • US08542745B2
    • 2013-09-24
    • US12590978
    • 2009-11-17
    • Hui ZhangLi Hua ZhuCharles Chuanming Wang
    • Hui ZhangLi Hua ZhuCharles Chuanming Wang
    • H04N11/02
    • H04N19/423H04N19/436H04N19/44
    • A method for utilizing a CUDA based GPU to accelerate a complex, sequential task such as video decoding, comprises decoding on a CPU headers and macroblocks of encoded video, performing inverse quantization (on CPU or GPU), transferring the picture data to GPU, where it is stored in a global buffer, and then on the GPU performing inverse waveform transforming of the inverse quantized data, performing motion compensation, buffering the reconstructed picture data in a GPU global buffer, determining if the decoded picture data are used as reference for decoding a further picture, and if so, copying the decoded picture data from the GPU global buffer to a GPU texture buffer. Advantages are that the data communication between CPU and GPU is minimized, the workload of CPU and GPU is balanced and the modules off-loaded to GPU can be efficiently realized since they are data-parallel and compute-intensive.
    • 一种利用基于CUDA的GPU来加速诸如视频解码的复杂顺序任务的方法包括对编码视频的CPU头部和宏块进行解码,执行逆量化(在CPU或GPU上),将图像数据传送到GPU,其中 存储在全局缓冲器中,然后在GPU上执行逆量化数据的逆波形变换,执行运动补偿,在GPU全局缓冲器中缓冲重建的图像数据,确定解码的图像数据是否用作解码的参考 如果是,将解码的图像数据从GPU全局缓冲器复制到GPU纹理缓冲器。 优点是CPU和GPU之间的数据通信最小化,CPU和GPU的工作负载平衡,并且卸载到GPU的模块可以有效地实现,因为它们是数据并行和计算密集型的。
    • 8. 发明授权
    • Method and apparatus for adapting a default encoding of a digital video signal during a scene change period
    • 用于在场景变化期间适应数字视频信号的默认编码的方法和装置
    • US08179961B2
    • 2012-05-15
    • US12309336
    • 2006-07-17
    • Zhi Bo ChenXiao Dong GuLi Hua ZhuQu Qing Chen
    • Zhi Bo ChenXiao Dong GuLi Hua ZhuQu Qing Chen
    • H04N7/26H04N11/04
    • H04N19/577H04N19/115H04N19/142H04N19/152H04N19/17H04N19/179H04N19/61H04N19/87
    • The frame following a scene cut is usually coded as an I picture. In CBR encoding, the encoder will try to keep the bit rate constant, which will often cause serious picture quality degradation at scene changes. In VBR encoding, more bits will be allocated to the first frame of the new scene and the bit rate will increase significantly for a short time. Therefore subsequent frames must be coded in ‘skipped’ mode, which will often cause jerk artifacts. According to the invention, in each frame belonging to a scene change period, areas are determined that have different human attention levels. In the frames (n−1, n−2, n−3) located prior to the first new scene frame, to the areas having a lower attention level less bits are assigned than in the default encoding, and in the frames (n, n+1, n+2) located at and after the scene cut the thus saved bits are additionally assigned to the areas having a higher attention level.
    • 场景切割后的帧通常被编码为I图像。 在CBR编码中,编码器将尝试保持比特率恒定,这将导致场景变化导致严重的图像质量下降。 在VBR编码中,更多位将被分配给新场景的第一帧,并且比特率将在短时间内显着增加。 因此,后续帧必须以“跳过”模式进行编码,这通常会引起抖动伪像。 根据本发明,在属于场景变化期间的每个帧中,确定具有不同人的注意力水平的区域。 在位于第一新场景帧之前的帧(n-1,n-2,n-3)中,对于具有较低注意力级别的区域,比在默认编码中分配较少的位,并且在帧(n, n + 1,n + 2)被分配给具有较高关注度的区域。