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Project
Advanced techniques for distributed video coding
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.
Date:1 Jan 2012 → 31 Dec 2017
Keywords:Wyner-Ziv coding, Distributed Video Coding, compression
Disciplines:Computer architecture and networks, Distributed computing, Biological system engineering, Visual computing, Multimedia processing, Signal processing, Information sciences, Other information and computing sciences, Programming languages, Applied mathematics in specific fields, Theoretical computer science, Modelling, Scientific computing, Information systems