Technical Program

Paper Detail

Paper:	IMDSP-P7.1
Session:	Video Coding I
Time:	Wednesday, May 17, 14:00 - 16:00
Presentation:	Poster
Topic:	Image and Multidimensional Signal Processing: Distributed Source Coding
Title:	A Proposal to Suppress the Training Stage in a Coset-Based Distributed Video Codec
Authors:	Xavi Artigas, Technical University of Catalonia (UPC), Spain; Marco Tagliasacchi, Politecnico di Milano, Italy; Luis Torres, Technical University of Catalonia (UPC), Spain; Stefano Tubaro, Politecnico di Milano, Italy
Abstract:	Distributed Video Coding (DVC) is a coding paradigm that gives the decoder the task to exploit the source statistics to achieve efficient compression. Many approaches to the DVC problem have recently appeared in the literature, including the PRISM codec. Instead of encoding the deterministic quantized prediction error residual, PRISM partitions the quantization lattice into cosets and sends the index of the coset each quantized coefficient belongs to. Estimating the number of cosets is of crucial importance to achieve good coding efficiency. In PRISM, this is determined during an offline training phase. The present work aims at being a starting point for the suppression of the training stage of PRISM at the cost of sending the number of cosets for each DCT coefficient. The statistics of the number of cosets are analyzed to figure out the maximum compression efficiency achievable by entropy coding. Furthermore the paper discusses some techniques that might be used to lower the amount of transmitted bits. Based on these results, directions for future works are proposed.