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The Scientific World Journal
Volume 2015, Article ID 394956, 16 pages
Research Article

Reliable Adaptive Video Streaming Driven by Perceptual Semantics for Situational Awareness

Department of Telecommunications and Systems Engineering, Autonomous University of Barcelona, 08193 Bellaterra, Spain

Received 31 October 2014; Revised 1 April 2015; Accepted 21 April 2015

Academic Editor: Hsiang-Fu Yu

Copyright © 2015 M. A. Pimentel-Niño et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.