High Performance HEVC Motion Estimation on GPU

• Main Authors: Kao, Hao Che, 高浩哲
• Other Authors: Lee, Che Rung
• Format: Others
• Language: en_US
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/99770915327847322414

碩士 === 國立清華大學 === 資訊工程學系 === 103 === For the request of high resolution and video streaming, the H.264/MPEG4 Advanced Video Coding, aka H.264/MPEG4 AVC, is not adequate for needs. In 2013, Joint Collaborative Team on Video Coding (JCT-VC) published the next generation video coding standard, as called High Efficiency Video Coding (HEVC). HEVC supports more different size of coding block than H.264/MPEG4 AVC, and it leads better video compression ratio and high computation complexity. In the thesis, we focus on using GPU to accelerate the motion estimation and PU mode decision of HEVC encoding. In the experiment, our work can achieve the average 15.12~17.62 times speed-up with 3.106%~9.906% bit-rate increase and -0.001%~0.194% PSNR loss.