Paper Info
Title
Content Adaptive Representations of Omnidirectional Videos for Cinematic Virtual Reality
Abstract
Cinematic virtual reality provides an immersive visual experience by presenting omnidirectional videos of real-world scenes. A key challenge is to develop efficient representations of omnidirectional videos in order to maximize coding efficiency under resource constraints, specifically, number of samples and bitrate. We formulate the choice of representation as a multi-dimensional, multiple-choice knapsack problem and show that the resulting representations adapt well to varying content. We also show that separation of the sampling and bit allocation constraints leads to a computationally efficient solution using Lagrangian optimization with only minor performance loss. Results across images and videos show significant coding gains over standard representations.
Year
DOI
Venue
2015
10.1145/2814347.2814348
ImmersiveME@ACM Multimedia
Field
DocType
Citations 
Virtual reality,Computer graphics (images),Computer science,Lagrange multiplier,Coding (social sciences),Immersion (virtual reality),Artificial intelligence,Knapsack problem,Computer vision,Omnidirectional antenna,Algorithmic efficiency,Sampling (statistics),Multimedia
Conference
13
PageRank 
References 
Authors
1.11
8
3
Name
Order
Citations
PageRank
Matt C. Yu1898.62
Haricharan Lakshman232830.58
Bernd Girod389881062.96