Beijing Dajia Internet Information Technology Co., Ltd.

Nanjing Yuyan Information Technology Ltd.

Yucong Chen

Xianglin Wang

Yunfei Zheng

Yi-Wen Chen

Jiangtao Wen

Yue Huang

Ziyu Wen

Tong Shen

Xing Wen

Bing Yu

Xin Tao

Fulin Li

Mingda Wu

Fanbo Deng

Yurong Dai

Video coding methods and apparatuses are provided. A set of two or more pictures is coded. The set includes at least a first picture coded with a first spatial resolution, and a second picture coded with a second spatial resolution different from the first spatial resolution. The set of two or more pictures is stored in a decoded picture buffer based on corresponding spatial resolutions. The set of two or more pictures stored in the decoded picture buffer is used as a set of reference pictures for coding one or more successive pictures subsequent to the set of two or more pictures. The set of two or more pictures is incorporated into a reference picture list that contains pictures with at least two different spatial resolutions.

Video coding using multi-resolution reference picture management

A method and apparatus for processing a video is provided. A current image frame of a video and a mask for a first area are obtained. The Image included in the first area is to be removed from the current image frame. A first resultant image of the current image frame is obtained with an image processing network based on the current image frame and the mask. The first resultant image is an image from which the image included in the first area is removed from the current image frame. A second resultant image of a previous image frame of the current image frame is obtained. The second resultant image is an image from which the image included in the second area is removed from the previous image frame. A final resultant image of the current image frame is obtained by fusing the first resultant image and the second resultant image.

Method and apparatus for processing video

The latest High Efficiency Video Coding (HEVC) standard achieves significant compression efficiency improvement over the H.264 standard, at a much higher cost of computational complexity. A framework for software-based H.264 to HEVC transcoding on multicore processors and distributed systems is provided. By utilizing information extracted from the input H.264 bitstream, the transcoding process can be accelerated at a high ratio with modest visual quality loss. Wavefront Parallel Processing (WPP) and SIMD acceleration are also implemented to improve the trans coding efficiency on multi-core processors with SIMD instruction set extensions. Based on the HEVC HM 12.0 reference software and using standard HEVC test bitstreams, the proposed transcoder can achieve around 120&#xd7; speed up over decoding and re-encoding based on ffmpeg and the HM software without significant R-D performance loss.

Efficient software for transcoding to HEVC on multi-core processors

The emerging High Efficiency Video Coding (HEVC) standard achieves significant performance improvement over H.264/AVC standard at a cost of much higher complexity. An H.264/AVC to HEVC transcoder is described for multi-core processors implementing Wavefront Parallel Processing (WPP) and SIMD acceleration, along with expedited motion estimation (ME) and mode decision (MD) by utilizing information extracted from the input H.264/AVC stream. Experiments using standard HEVC test bitstreams show that the described transcoder may achieve a 70&#xd7; speed up over the HEVC HM S.1 reference software (including H.264 encoding) at very small rate distortion (RD) performance loss.

Fast HEVC transcoding

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Beijing, China

Yucong Chen