000087172 001__ 87172
000087172 005__ 20190316233749.0
000087172 037__ $$aREP_WORK 000087172 245__$$aPacketized Media Streaming with Comprehensive Exploitation of Feedback Information
000087172 269__ $$a2005 000087172 260__$$c2005$$aEcublens 000087172 336__$$aReports
000087172 500__ $$aITS 000087172 520__$$aThis paper addresses the problem of streaming packetized media over a lossy packet network, with sender-driven (re)transmission using acknowledgement feedback. The different transmission scenarios associated to a group of interdependent media data units are abstracted in terms of a finite alphabet of policies, for each single data unit. A rate-distortion optimized markovian framework is proposed, which supports the use of comprehensive feedback information. Contrarily to previous works in rate-distortion optimized streaming, whose transmission policies definitions do not take into account the feedback expected for other data units, our framework considers all the acknowledgment packets in defining the streaming policy of a single data unit. More specifically, the notion of master and slave data unit is introduced, to define dependent streaming policies between media packets; the policy adopted to transmit a slave data unit becomes dependent on the acknowledgments received about its masters. One of the main contributions of our work is to propose a methodology that limits the space of dependent policies for the RD optimized streaming strategy. A number of rules are formulated to select a set of relevant master/slave relationships, defined as the dependencies that are likely to bring RD performance gain in the streaming system. These rules provide a limited complexity solution to the rate-distortion optimized streaming problem, with comprehensive use of feedback information. Based on extensive simulations, we conclude that (i) the proposed set of relevant dependent policies achieves close to optimal performance, while being computationally tractable, and (ii) the benefit of dependent policies is driven by the relative sizes and importance of interdependent data units. Our simulations demonstrate that dependent streaming policies can perform significantly better than independent streaming strategies, especially for cases where some media data units bring a relatively large gain in distortion, in comparison with other data units they depend on for correct decoding. We observe however that the benefit becomes marginal when the gain in distortion per unit of rate decreases along the media decoding dependency path. Since such a trend characterizes most conventional scalable coders, the implementation of dependent policies can reasonably be ruled out in these specific cases.
000087172 6531_ $$aLTS4 000087172 700__$$aDe Vleeschouwer, C.
000087172 700__ $$g101475$$aFrossard, P.$$0241061 000087172 8564_$$uhttps://infoscience.epfl.ch/record/87172/files/De_Vleeschouwer2005_1306.pdf$$zn/a$$s301551
000087172 909C0 $$xU10851$$0252393$$pLTS4 000087172 909CO$$ooai:infoscience.tind.io:87172$$qGLOBAL_SET$$pSTI$$preport 000087172 937__$$aEPFL-REPORT-87172
000087172 970__ $$aDeVleeschouwer2005_1306/LTS 000087172 973__$$sPUBLISHED$$aEPFL 000087172 980__$$aREPORT