학술논문

Fast CU Size Decisions for HEVC Inter-Prediction Using Support Vector Machines
Document Type
Conference
Source
2019 27th European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2019 27th European. :1-5 Sep, 2019
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Signal Processing and Analysis
Encoding
Prediction algorithms
Support vector machines
Predictive models
Streaming media
Training
Partitioning algorithms
High Efficiency Video Coding (HEVC)
interprediction
Coding Unit (CU)
Support Vector Machine (SVM)
encoding complexity reduction
Language
ISSN
2076-1465
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% Bjøntegaard Delta Bit Rate (BDBR) losses for Random Access and Low-Delay B configurations, respectively.