Object-Based Video Coding by Visual Saliency and Temporal Correlation

Kazuya Ogasawara, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


When a disaster occurs, video communication is an effective way to disseminate large quantities of important information. However, video coding standards such as High Efficiency Video Coding (HEVC) compress entire videos, whatever the contents are; at low bit rates, the quality of significant objects deteriorates. In this paper, an object-based video coding method is proposed to address this problem. The proposed method extracts objects on the basis of visual saliency and temporal correlation between frames. Subsequently, we execute pre-processing which degrades the background quality before encoding the video with HEVC. This method can reduce the bit rate while preserving target object quality. Experimental comparison with HEVC demonstrates the superior performance of the proposed method.

Original languageEnglish
Article number7904640
Pages (from-to)168-178
Number of pages11
JournalIEEE Transactions on Emerging Topics in Computing
Issue number1
Publication statusPublished - 2020 Jan 1


  • background blurring
  • object extraction
  • Object-based coding
  • visual saliency


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