Global motion information based depth map sequence coding

Fei Cheng*, Jimin Xiao, Tammam Tillo, Yao Zhao

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

Depth map is currently exploited in 3D video coding and computer vision systems. In this paper, a novel global motion information assisted depth map sequence coding method is proposed. The global motion information of depth camera is synchronously sampled to assist the encoder to improve depth map coding performance. This approach works by down-sampling the frame rate at the encoder side. Then, at the decoder side, each skipped frame is projected from its neighboring depth frames using the camera global motion. Using this technique, the frame rate of depth sequence is down-sampled. Therefore, the coding rate-distortion performance is improved. Finally, the experiment result demonstrates that the proposed method enhances the coding performance in various camera motion conditions and the coding performance gain could be up to 2.04 dB.

Original languageEnglish
Pages (from-to)721-729
Number of pages9
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9314
DOIs
Publication statusPublished - 2015
Event16th Pacific-Rim Conference on Multimedia, PCM 2015 - Gwangju, Korea, Republic of
Duration: 16 Sept 201518 Sept 2015

Keywords

  • Depth map
  • Down-sampling
  • Global motion information

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