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Paper Detail

Session:Distributed Image and Video Coding - I
Time:Monday, October 9, 09:40 - 12:20
Presentation: Poster
Topic: Image & Video Coding: Distributed Source Coding
Authors: Marco Tagliasacchi; Politecnico di Milano 
 Alan Trapanese; Politecnico di Milano 
 Stefano Tubaro; Politecnico di Milano 
 João Ascenso; Instituto Superior Técnico 
 Catarina Brites; Instituto Superior Técnico 
 Fernando Pereira; Instituto Superior Técnico 
Abstract: Distributed video coding is a recent paradigm that enables a flexible distribution of the computational complexity between the encoder and the decoder building on top of distributed source coding principles. In this paper we focus on the scenario where most of the complexity is shifted to the decoder, thus achieving light encoding. We elaborate on a well known pixel based Wyner-Ziv architecture and we improve its coding efficiency by exploiting both spatial and temporal correlation at the decoder side, without the need of performing any transform at the encoder. In order to generate the side information, the decoder adaptively chooses spatial or temporal information, based on the local estimate of the correlation noise. Simulations on test sequences demonstrate that a coding gain of up to +1.8dB can be obtained with respect to the case that generates the side information by motion interpolation only.