Advanced Micro Devices Corporation

Rajy Meeyakhan Rawther

Michael L Schmit

Radhakrishna Giduthuri

Radha Giduthuri

Passant V Karunaratne

Vicky W Tsang

Methods and apparatus for video processing are disclosed. In one embodiment the work of processing of different types of video frames is allocated between a plurality of computing resources. For example, different computing resources for can be used for I, P and B frames, where an I frame is an intra-frame encoded with no other frames as a reference; a P frame is encoded with one previous I or P frame as a reference and a B frame is encoded with one previous and one future frame as references. In one example, a central processing unit (CPU) performs encoding of I frames and P frames of a video and a graphics processing unit (GPU) performs initial encoding of B frames of the video in connection with a fixed function video encoder configured to perform entropy encoding of the B frames.

Hybrid video encoder apparatus and methods

Embodiments of a software video encoder with GPU acceleration include a software encoder that partitions video processing tasks and assigns them to both a graphics processing unit (GPU) and a central processing unit (CPU). The partitioning and assigning is configurable for operation in different modes. The modes include a mode in which the total time for video processing (such as when transcoding a large existing file) is reduced, a mode in which less CPU cycles are consumed, thus freeing the CPU for other work, a mode in which the latency of processing (e.g., for video conferencing) is reduced, and a mode in which information from a game or other real-time activity being displayed on the screen is encoded.

Software video encoder with GPU acceleration

Embodiments of the invention as described herein provide a solution to the problems of conventional methods as stated above. In the following description, various examples are given for illustration, but none are intended to be limiting. Embodiments are directed to a transcoding system that shares the workload of video transcoding through the use of multiple central processing unit (CPU) cores and/or one or more graphical processing units (GPU), including the use of two components within the GPU: a dedicated hardcoded or programmable video decoder for the decode step and compute shaders for scaling and encoding. The system combines usage of an industry standard Microsoft DXVA method for using the GPU to accelerate video decode with a GPU encoding scheme, along with an intermediate step of scaling the video.

Growing community of inventors

Santa Clara, CA, United States of America

Rajy Meeyakhan Rawther