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Ab Al-Hadi Ab Rahman

Ab Al-Hadi Ab Rahman

Universiti Teknologi Malaysia, Malaysia

Title: New Algorithms and Techniques for improving the runtime of the HEVC/H.265 Encoding

Biography

Biography: Ab Al-Hadi Ab Rahman

Abstract

The new HEVC/H.265 video coding standard was launched in November 2013 that promises improved compression efficiency by more than 50% based on the existing media files. With it however, comes a multitude of challenges on both the encoding and decoding side. One of the major challenges that we are currently tackling is the computational complexity which leads to about 400% delay in video encoding compared to the current AVC/H.264 standard. In retrospective, a raw video from 100 frames (i.e. with 4 seconds playback) with a CIF resolution takes about 30 minutes to encode in the standard using the reference software; this latency in encoding can be extrapolated to determine the time it takes to encode a UHD video that consists of 180,000 frames--which could take at least a day to encode. In this talk, I will present some of the new algorithms that we have developed and thoroughly tested, which could reduce the encoding time by at most 72%, with neglible loss in coding efficiency and video quality degradation. It proposes a solution based on three key areas of HEVC; 1) a new motion estimation algorithm to quickly obtain the motion vectors, 2) a new inter-prediction mode selection scheme to quickly determine the optimal PU mode, and 3) a new intra-prediction technique to quickly find the optimal CU mode. The application of these algorithms would enhance the performance of the HEVC compression standard and make it adaptable to mobile and hand held devices with resource constraint.