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    • 4. 发明授权
    • Memory efficient 3-D wavelet transform for video coding without boundary effects
    • 用于无边界效应的视频编码的高效的3-D小波变换
    • US06795504B1
    • 2004-09-21
    • US09599807
    • 2000-06-21
    • Jizheng XuShipeng LiZixiang XiongYa-Qin Zhang
    • Jizheng XuShipeng LiZixiang XiongYa-Qin Zhang
    • H04N712
    • H04N19/61H04N19/102H04N19/63
    • A video coding system and method utilizes a 3-D wavelet transform that is memory efficient and reduces boundary effect across frame boundaries. The transform employs a lifting-based scheme and buffers wavelet coefficients at intermediate lifting steps towards the end of one GOP (group of pictures) until intermediate coefficients from the beginning of the next GOP are available. The wavelet transform scheme does not physically break the video sequence into GOPs, but processes the sequence without intermission. In this manner, the system simulates an infinite wavelet transformation across frame boundaries and the boundary effect is significantly reduced or essentially eliminated. Moreover, the buffering is very small and the scheme can be used to implement other decomposition structures. The wavelet transform scheme provides superb video playback quality with little or no boundary effects.
    • 视频编码系统和方法利用三维小波变换,其存储器有效并且减少跨边界的边界效应。 该变换采用基于提升的方案,并且在一个GOP(图像组)的结尾的中间提升步骤处缓冲小波系数,直到来自下一个GOP的开始的中间系数可用。 小波变换方案不会将视频序列物理地分解成GOP,而是在不间断的情况下处理序列。 以这种方式,系统模拟跨帧边界的无限小波变换,并且边界效应被显着减少或基本上消除。 此外,缓冲非常小,并且该方案可以用于实现其他分解结构。 小波变换方案提供极好的视频播放质量,很少或没有边界效应。
    • 5. 发明授权
    • Memory efficient 3-D wavelet transform for video coding without boundary effects
    • 用于无边界效应的视频编码的高效的3-D小波变换
    • US07949049B2
    • 2011-05-24
    • US10897273
    • 2004-08-06
    • Jizheng XuShipeng LiYa-Qin ZhangZixiang Xiong
    • Jizheng XuShipeng LiYa-Qin ZhangZixiang Xiong
    • H04N11/02H04N7/12
    • H04N19/61H04N19/102H04N19/63
    • A video coding system and method utilizes a 3-D wavelet transform that is memory efficient and reduces boundary effect across frame boundaries. The transform employs a lifting-based scheme and buffers wavelet coefficients at intermediate lifting steps towards the end of one GOP (group of pictures) until intermediate coefficients from the beginning of the next GOP are available. The wavelet transform scheme does not physically break the video sequence into GOPs, but processes the sequence without intermission. In this manner, the system simulates an infinite wavelet transformation across frame boundaries and the boundary effect is significantly reduced or essentially eliminated. Moreover, the buffering is very small and the scheme can be used to implement other decomposition structures. The wavelet transform scheme provides superb video playback quality with little or no boundary effects.
    • 视频编码系统和方法利用三维小波变换,其存储器有效并且减少跨边界的边界效应。 该变换采用基于提升的方案,并且在一个GOP(图像组)的结尾的中间提升步骤处缓冲小波系数,直到来自下一个GOP的开始的中间系数可用。 小波变换方案不会将视频序列物理地分解成GOP,而是在不间断的情况下处理序列。 以这种方式,系统模拟跨帧边界的无限小波变换,并且边界效应被显着减少或基本上消除。 此外,缓冲非常小,并且该方案可以用于实现其他分解结构。 小波变换方案提供极好的视频播放质量,很少或没有边界效应。
    • 6. 发明授权
    • Accelerated video encoding using a graphics processing unit
    • 使用图形处理单元加速视频编码
    • US07813570B2
    • 2010-10-12
    • US10971545
    • 2004-10-22
    • Guobin ShenShipeng LiGuangping Gao
    • Guobin ShenShipeng LiGuangping Gao
    • G06K9/36
    • H04N21/4143H04N19/43H04N19/436H04N19/557H04N19/56
    • A video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU. Also, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process.
    • 视频编码系统使用中央处理单元(CPU)和图形处理单元(GPU)来执行视频编码。 该系统实现了使GPU能够执行视频编码的运动估计的技术。 该技术允许GPU与由CPU执行的视频编码处理并行执行运动估计处理。 与仅使用CPU的编码相比,使用这种系统的视频编码的性能大大加快。 此外,与运动估计相关的数据以利用GPU的能力的方式被布置并提供给GPU。 关于视频帧的数据可以并置,以使GPU的多个通道并行处理任务。 GPU的深度缓冲器可以用于在运动估计过程期间合并重复计算和搜索任务。
    • 7. 发明授权
    • Accelerated video encoding using a graphics processing unit
    • 使用图形处理单元加速视频编码
    • US07558428B2
    • 2009-07-07
    • US10939983
    • 2004-09-13
    • Guobin ShenShipeng LiGuangping Gao
    • Guobin ShenShipeng LiGuangping Gao
    • G06K9/74
    • H04N21/4143H04N19/43H04N19/436H04N19/557H04N19/56
    • The systems and methods described herein are directed at accelerating video encoding using a graphics processing unit. In one aspect, a video encoding system uses both a central processing unit (CPU) and a graphics processing unit (GPU) to perform video encoding. The system implements a technique that enables the GPU to perform motion estimation for video encoding. The technique allows the GPU to perform a motion estimation process in parallel with the video encoding process performed by the CPU. The performance of video encoding using such a system is greatly accelerated as compared to encoding using just the CPU.In another aspect, data related to motion estimation is arranged and provided to the GPU in a way that utilizes the capabilities of the GPU. Data about video frames may be collocated to enable multiple channels of the GPU to process tasks in parallel. The depth buffer of the GPU may be used to consolidate repeated calculations and searching tasks during the motion estimation process. The use of frame collocation and depth buffer enables the GPU to be better utilized and to further accelerate video encoding.
    • 这里描述的系统和方法涉及使用图形处理单元加速视频编码。 一方面,视频编码系统同时使用中央处理单元(CPU)和图形处理单元(GPU)来执行视频编码。 该系统实现了使GPU能够执行视频编码的运动估计的技术。 该技术允许GPU与由CPU执行的视频编码处理并行执行运动估计处理。 与仅使用CPU的编码相比,使用这种系统的视频编码的性能大大加快。 在另一方面,与运动估计相关的数据以利用GPU的能力的方式被布置并提供给GPU。 关于视频帧的数据可以并置,以使GPU的多个通道并行处理任务。 GPU的深度缓冲器可以用于在运动估计过程期间合并重复计算和搜索任务。 使用帧搭配和深度缓冲器可以更好地利用GPU并进一步加速视频编码。