Flexible Complexity Optimization in Multiview Video Coding

Yiwen XU, Kaiying XING, Hang LIU, Tiesong ZHAO, Sam KWONG

Research output: Journal PublicationsJournal Article (refereed)peer-review

3 Citations (Scopus)

Abstract

Flexible optimization on video coding computational complexity is imperative to adapt to diverse terminals in video streaming, especially with high definition videos and increasingly comprehensive encoders. Until now, few efforts have been contributed to the encoder of multiview videos, which complicates its encoding structure with duplex frame display. To address this issue, we propose a flexible complexity optimization framework in this paper. In the first place, the proposed algorithm flexibly reduces the encoder complexity at different external-defined complexity constraints; furthermore, it is also committed to compression efficiency optimization at different complexity levels. The framework is achieved by a hybrid approach: complexity allocation, which allocates the external-defined complexity constraint to all views, hierarchical layers and frames based on linear programming; and complexity regulation, which dynamically adjusts local candidate partitions to fulfil the targeted local complexity constraint, with a probability-driven Alternate Partition Cost (APC) minimization. The overall algorithm is implemented on the popular multiview encoder, Multiview High Efficiency Video Coding (MV-HEVC), with promising Rate-Distortion (RD) performances at different complexity constraints, which are also superior to two recent complexity optimization algorithms.
Original languageEnglish
Pages (from-to)4096-4106
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume31
Issue number10
Early online date7 Dec 2020
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

Keywords

  • complexity optimization
  • Multiview High Efficiency Video Coding (MV-HEVC)
  • Video coding

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