Dynamic Rate Allocation of Interactive Multi-View Video with View-Switch Prediction
Date
2016
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
In Interactive Multi-View Video (IMVV), the video has been captured by numbers of
cameras positioned in array and transmitted those camera views to users. The user can
interact with the transmitted video content by choosing viewpoints (views from different
cameras in the array) with the expectation of minimum transmission delay while
changing among various views. View switching delay is one of the primary concern that
is dealt in this thesis work, where the contribution is to minimize the transmission delay
of new view switch frame through a novel process of selection of the predicted view
and compression considering the transmission efficiency. Mainly considered a realtime
IMVV streaming, and the view switch is mapped as discrete Markov chain, where
the transition probability is derived using Zipf distribution, which provides information
regarding view switch prediction. To eliminate Round-Trip Time (RTT) transmission
delay, Quantization Parameters (QP) are adaptively allocated to the remaining redundant
transmitted frames to maintain view switching time minimum, trading off with
the quality of the video till RTT time-span. The experimental results of the proposed
method show superior performance on PSNR and view switching delay for better viewing quality over the existing methods.
Description
Keywords
Interactive multi-view video, Zipf distribution, Hidden Markov Model, Round-Trip Time