Universiti Teknologi Malaysia Institutional Repository

Hadamard transform improvement for hevc using intel avx-512

Sing, J. T. K. and Ullah Sheikh, U. and Mokji, M. and Alias, N. E. (2019) Hadamard transform improvement for hevc using intel avx-512. In: 9th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2019, 27-28 Apr 2019, Kota Kinabalu, Malaysia.


Official URL: http://dx.doi.org/10.1109/ISCAIE.2019.8743904


High Efficiency Video Coding (HEVC) doubles the data compression ratio compared to previous generation compression technology, Moving Picture Expert Group-Advanced Video Codec (MPEG-AVC/H.264) without sacrificing the image quality. However, this superior compression comes at the cost of more computation payload resulting in longer time for encoding and decoding. This work proposes the vectorization on HEVC data heavy computation algorithm, Hadamard Transform or Sum of Absolute Transform Difference (SATD) and Sum of Absolute Difference (SAD) to achieve optimized compression performance. Single Instruction Multiple Data (SIMD) acceleration will be based on the Intel AVX-512 (Advanced Vector Extension) Instruction Set Architecture (ISA). Since HEVC supports more coding tree block (CTB) sizes, SATD and SAD algorithms eventually become more complex compared to AVC. As a result, SATD and SAD algorithms with various block sizes will be subjected to SIMD acceleration. We provide performance evaluation based on different SIMD ISA and without SIMD implementation on HEVC SATD and SAD and found that AVX-512 optimized implementation performed faster when compared to non- optimized SATD and SAD but showed signs of reduced performance when compared to SSE optimized SATD and SAD.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:compression, hadamard transform, high efficiency video coding
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:90183
Deposited By: Narimah Nawil
Deposited On:30 Mar 2021 15:48
Last Modified:30 Mar 2021 15:48

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