Fast inter-prediction algorithm based on motion vector information for high efficiency video coding

Kao Min Lin, Jie Ru Lin, Mei Juan Chen, Chia Hung Yeh*, Cheng An Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

High Efficiency Video Coding (HEVC/H.265) is the latest international video coding standard, which achieves better compression ratio and supports higher resolution than Advanced Video Coding (H.264/AVC). However, HEVC/H.265 increases the computational burden. To reduce the coding complexity of the HEVC encoder, this paper proposes a fast inter-prediction algorithm to speed up coding time. We collect the average rate-distortion costs (RD-cost) of Skip modes and Merge modes to accelerate prediction unit (PU) mode decisions. In addition, we also acquire and analyze the motion vector range from Merge modes and Inter 2N × 2N modes to decide whether to execute Merge and advanced motion vector prediction (AMVP) of other PUs. The experimental results show that the proposed algorithm provides 48.54% time saving on average in random-access configuration and maintains good rate-distortion performance and video quality at the same time. The proposed algorithm also outperforms previous works.

Original languageEnglish
Article number99
JournalEurasip Journal on Image and Video Processing
Volume2018
Issue number1
DOIs
Publication statusPublished - 2018 Dec 1

Keywords

  • Advanced motion vector prediction (AMVP)
  • Fast algorithm
  • High efficiency video coding
  • Inter-prediction
  • Merge mode
  • Motion vector range

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Electrical and Electronic Engineering

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