Opportunities for high-level parallelism in multiview video coding

Authors

Caoyang Jiang, Michigan Technological UniversityFollow
Saeid Nooshabadi, Michigan Technological UniversityFollow

Document Type

Conference Proceeding

Publication Date

12-19-2016

Department

Department of Electrical and Computer Engineering; Center for Scalable Architectures and Systems

Abstract

This paper investigates the problem of MVC from a high-level perspective and proposes a multiple-view-frame-parallel (MVFP), scheduling scheme for a computing cluster. The proposed scheme outperforms the view sequential coding by a factor of more than 12, for the IPP prediction structure for MVC.

Publication Title

2016 Data Compression Conference

Recommended Citation

Jiang, C., & Nooshabadi, S. (2016). Opportunities for high-level parallelism in multiview video coding. 2016 Data Compression Conference. http://doi.org/10.1109/DCC.2016.21
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/1168