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Fast CU Size Decisions for HEVC Inter-Prediction Using Support Vector Machines

Authors :
Buddhiprabha Erabadda
Gosala Kulupana
Anil Fernando
Thanuja Mallikarachchi
Source :
2019 27th European Signal Processing Conference (EUSIPCO), EUSIPCO
Publication Year :
2019

Abstract

The brute force rate-distortion optimisation based approach used in the High Efficiency Video Coding(HEVC) encoders to determine the best block partitioning structure for a given content demands an excessive amount of computational resources. In this context, this paper proposes a novel algorithm to reduce the computational complexity of HEVC inter-prediction using Support Vector Machines. The proposed algorithm predicts the Coding Unit (CU) split decision of a particular block enabling the encoder to directly encode the selected block, avoiding the unnecessary evaluation of the remaining CU size combinations. Experimental results demonstrate encoding time reductions of ∼58% ∼50%2.27%1.89% Bjontegaard Delta Bit Rate (BDBR) losses for Random Access and Low-Delay B configurations, respectively.

Details

ISBN :
978-90-827970-3-9
ISBNs :
9789082797039
Database :
OpenAIRE
Journal :
2019 27th European Signal Processing Conference (EUSIPCO)
Accession number :
edsair.doi.dedup.....a221692b8a804015e5819fdd40c84886
Full Text :
https://doi.org/10.23919/eusipco.2019.8903081