Fast mode decision algorithm for scalable video coding based on probabilistic models

Yu Che Wey, Mei Juan Chen, Chia Hung Yeh, Chia Yen Chen

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


To reduce the computational complexity of the encoding process in Scalable Video Coding, we utilize the information of motion vector predictor (MVP) and the number of non-zero coefficients (NZC) to propose a fast mode decision algorithm. The probability models of MVP and the number of NZC are built to predict the partition mode in the enhancement layer. In addition, the search range of motion estimation is adaptively adjusted to further reduce computational complexity. Experiment results show that the proposed algorithm can reduce coding time by up to 76% in average and provide higher time saving and better performance than previous work.

Original languageEnglish
Pages (from-to)931-945
Number of pages15
JournalJournal of Information Science and Engineering
Issue number4
Publication statusPublished - 2016 Jul
Externally publishedYes


  • Base layer
  • Enhancement layer
  • Mode decision
  • Motion estimation
  • Motion vector predictor
  • Scalable video coding

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Hardware and Architecture
  • Library and Information Sciences
  • Computational Theory and Mathematics


Dive into the research topics of 'Fast mode decision algorithm for scalable video coding based on probabilistic models'. Together they form a unique fingerprint.

Cite this