TY - JOUR
T1 - Reliable Adaptive Video Streaming Driven by Perceptual Semantics for Situational Awareness
AU - Pimentel-Niño, M. A.
AU - Saxena, Paresh
AU - Vazquez-Castro, M. A.
PY - 2015/1/1
Y1 - 2015/1/1
N2 - © 2015 M. A. Pimentel-Niño et al. A novel cross-layer optimized video adaptation driven by perceptual semantics is presented. The design target is streamed live video to enhance situational awareness in challenging communications conditions. Conventional solutions for recreational applications are inadequate and novel quality of experience (QoE) framework is proposed which allows fully controlled adaptation and enables perceptual semantic feedback. The framework relies on temporal/spatial abstraction for video applications serving beyond recreational purposes. An underlying cross-layer optimization technique takes into account feedback on network congestion (time) and erasures (space) to best distribute available (scarce) bandwidth. Systematic random linear network coding (SRNC) adds reliability while preserving perceptual semantics. Objective metrics of the perceptual features in QoE show homogeneous high performance when using the proposed scheme. Finally, the proposed scheme is in line with content-aware trends, by complying with information-centric-networking philosophy and architecture.
AB - © 2015 M. A. Pimentel-Niño et al. A novel cross-layer optimized video adaptation driven by perceptual semantics is presented. The design target is streamed live video to enhance situational awareness in challenging communications conditions. Conventional solutions for recreational applications are inadequate and novel quality of experience (QoE) framework is proposed which allows fully controlled adaptation and enables perceptual semantic feedback. The framework relies on temporal/spatial abstraction for video applications serving beyond recreational purposes. An underlying cross-layer optimization technique takes into account feedback on network congestion (time) and erasures (space) to best distribute available (scarce) bandwidth. Systematic random linear network coding (SRNC) adds reliability while preserving perceptual semantics. Objective metrics of the perceptual features in QoE show homogeneous high performance when using the proposed scheme. Finally, the proposed scheme is in line with content-aware trends, by complying with information-centric-networking philosophy and architecture.
U2 - 10.1155/2015/394956
DO - 10.1155/2015/394956
M3 - Article
SN - 1094-3420
VL - 2015
JO - International Journal of High Performance Computing Applications
JF - International Journal of High Performance Computing Applications
M1 - 394956
ER -