Advanced techniques for distributed video coding

01 January 2012 → 31 December 2017
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Applied mathematics in specific fields
    • Computer architecture and networks
    • Distributed computing
    • Information sciences
    • Information systems
    • Programming languages
    • Scientific computing
    • Theoretical computer science
    • Visual computing
    • Other information and computing sciences
  • Engineering and technology
    • Modelling
    • Multimedia processing
    • Biological system engineering
    • Signal processing
Wyner-Ziv coding compression Distributed Video Coding
Project description

In contrast to conventional video compression, distributed video coding (DVC) offers low-complexity encoding at the cost of high-complexity decoding. Since DVC compression performance is still quite low, this project aims to improve compression through more accurate correlation noise modeling, advanced prediction techniques, and additional coding modes, while taking into account constraints on network bandwidth, complexity, and delay.