Stereo side information generation in low-delay distributed stereo video coding

Matteo Salmistraro; Søren Forchhammer

doi:10.1117/12.929230

15 October 2012 Stereo side information generation in low-delay distributed stereo video coding

Matteo Salmistraro, Søren Forchhammer

Proceedings Volume 8499, Applications of Digital Image Processing XXXV; 84990P (2012) https://doi.org/10.1117/12.929230
Event: SPIE Optical Engineering + Applications, 2012, San Diego, California, United States

Abstract

Distributed Video Coding (DVC) is a technique that allows shifting the computational complexity from the encoder to the decoder. One of the core elements of the decoder is the creation of the Side Information (SI), which is a hypothesis of what the to-be-decoded frame looks like. Much work on DVC has been carried out: often the decoder can use future and past frames in order to obtain the SI exploiting the time redundancy. Other work has addressed a Multiview scenario; exploiting the frames coming from cameras close to the one we are decoding (usually a left and right camera) it is possible to create SI exploiting the inter-view spatial redundancy. A careful fusion of the two SI should be done in order to use the best part of each SI. In this work we study a Stereo Low-Delay scenario using only two views. Due to the delay constraint we use only past frames of the sequence we are decoding and past and present frames of the other. This is done by using Extrapolation, to exploit the time redundancy and well known techniques for stereo error concealment. This allows us to create good quality SI even if we are only using two views. In this work we have also used a new method in order to fuse the two SIs, inspired by Multi-Hypothesis decoding. In this work the multiple hypotheses are used to fuse the SIs. Preliminary results show improvements up to 1 Βd.

Citation Download Citation

Matteo Salmistraro and Søren Forchhammer "Stereo side information generation in low-delay distributed stereo video coding", Proc. SPIE 8499, Applications of Digital Image Processing XXXV, 84990P (15 October 2012); https://doi.org/10.1117/12.929230

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