Thu, 21 Aug 2008 05:29:31 BST CiteULike: p2pstreaming's Girod http://www.citeulike.org/user/p2pstreaming/author/Girod CiteULike.org en-gb Copyright © 2004-2008 citeulike.org http://www.citeulike.org/user/p2pstreaming/article/3038186 <i>Image Processing, 2004. ICIP '04. 2004 International Conference on, Vol. 3 (2004), pp. 1751-1754 Vol. 3.</i><br /><br />We present a video distortion model analyzing the performance of multi-path routing for low latency video streaming, in congestion-limited ad hoc networks. In such environments, a single node transmitting multimedia data may have an impact on the overall network conditions and may need to limit its rate to achieve the highest sustainable video quality. For this purpose, optimal routing which seeks to minimize congestion and distributes traffic over multiple paths is attractive. To predict the end-to-end rate-distortion tradeoff, we develop a model which captures the impact of quantization and of packet loss on the overall video quality. Network simulations are performed to confirm the validity of the model in different streaming scenarios over different numbers of paths. Minimizing distortion for multi-path video streaming over ad hoc networks E Setton Xiaoqiny Zhu B Girod doi:10.1109/ICIP.2004.1421412 Image Processing, 2004. ICIP '04. 2004 International Conference on, Vol. 3 (2004), pp. 1751-1754 Vol. 3. 2008-07-24T03:49:14-00:00 2004 Image Processing, 2004. ICIP '04. 2004 International Conference on 3 1751 1754 Vol. 3 ad distortion hoc streaming video http://www.citeulike.org/user/p2pstreaming/article/2776726 <i>(2008)</i> Video Multicast over Wireless Mesh Networks with Scalable Video Coding (SVC) X Zhu T Schierl T Wiegand B Girod (2008) 2008-05-09T21:59:02-00:00 2008 distortion mesh multicast scalable video http://www.citeulike.org/user/p2pstreaming/article/2776603 <i>Packet Video 2007 (2007), pp. 173-181.</i><br /><br />Peer-to-peer (P2P) networks represent a valuable architecture for streaming video over the Internet. In these systems, users contribute their resources to relay the media to others and no dedicated infrastructure is required. In order to ensure a low end-to-end delay, P2P overlay networks are often organized as a set of complementary multicast trees. The source of the stream multiplexes the data on top of these trees and the routing of packets is statically defined. In this scenario, the reliability of the overlay links is critical for the performance of the system since temporary link failure or network congestion can cause a significant disruption of the end-user quality. The novel Scalable Video Coding (SVC) standard enables efficient usage of the network capacity by allowing intermediate high capacity nodes in the overlay network to dynamically extract layers from the scalable bit stream to serve less capable peers. On the other hand, SVC incurs a certain loss in terms of coding efficiency with respect to H.264/AVC single-layer coding. We propose a simple model that allows to evaluate the trade-off of using a scalable codec with respect to single-layer coding, given the distribution of the receivers&#x2019; capacities in an error-free network. We also report experimental results obtained by using SVC on top of a real-time implementation of the Stanford Peer-to-Peer Multicast (SPPM) protocol that clearly show the benefits of a prioritization mechanism to react to network congestion. Low-delay peer-to-peer streaming using scalable video coding Pierpaolo Baccichet Thomas Schierl Thomas Wiegand Bernd Girod doi:10.1109/PACKET.2007.4397039 Packet Video 2007 (2007), pp. 173-181. 2008-05-09T20:50:52-00:00 2007 Packet Video 2007 173 181 delay peer-to-peer scalable http://www.citeulike.org/user/p2pstreaming/article/2776431 <i>Image Processing, 2007. ICIP 2007. IEEE International Conference on, Vol. 5 (2007), pp. V - 69-V - 72.</i><br /><br />Simultaneous support of multiple video streaming sessions over a shared wireless network requires careful resource allocation to achieve high utilization while dynamically adapting to network and video fluctuations. We propose a distributed algorithm for channel time allocation among multiple video streams, and investigate several heuristic packet pruning schemes for rate adaptation of high-definition (HD) video streams. Simulation results are presented for streaming multiple HD video sequences over an 802.11a network. In comparison with TCP-Friendly Rate Control (TFRC) and a basic scheme without rate adaptation, it is shown that the proposed scheme can sustain higher video quality with lower packet delivery delay. Distributed Channel Time Allocation and Rate Adaptation for Multi-User Video Streaming Over Wireless Home Networks Xiaoqing Zhu B Girod P van Beek doi:10.1109/ICIP.2007.4379767 Image Processing, 2007. ICIP 2007. IEEE International Conference on, Vol. 5 (2007), pp. V - 69-V - 72. 2008-05-09T18:26:23-00:00 2007 Image Processing, 2007. ICIP 2007. IEEE International Conference on 5 V - 69 V - 72 allocation distortion rate http://www.citeulike.org/user/p2pstreaming/article/2755122 <i>Image Processing, 2006 IEEE International Conference on (2006), pp. 721-724.</i><br /><br />In live peer-to-peer streaming, a video stream is transmitted to a large population of viewers, through the use of the uplink bandwidth of participating peers. This approach overcomes the cost of large-scale deployment of such services. An essential problem of this type of system is to limit the incurred congestion. In particular, overwhelming the uplink of some peers would create a large increase in the latency of the system and make this application less compelling. In this work we focus on limiting the congestion in a peer-to-peer network where multiple multicast trees are used to distribute video to a large set of receivers. We present the idea of congestion-distortion optimized streaming which aims at maximizing decoded video quality while limiting network congestion. We describe how this type of media scheduling maintains high video quality even for low latencies, and extend its usage to the peer-to-peer scenario. Experiments over a simulated network of 300 peers illustrate the benefits of the suggested approach Congestion-Distortion Optimized Peer-to-Peer Video Streaming E Setton Jeonghun Noh B Girod doi:10.1109/ICIP.2006.312442 Image Processing, 2006 IEEE International Conference on (2006), pp. 721-724. 2008-05-05T04:31:51-00:00 2006 Image Processing, 2006 IEEE International Conference on 721 724 distortion optimization peer-to-peer http://www.citeulike.org/user/p2pstreaming/article/780048 <i>Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 6. (2000), pp. 1012-1032.</i><br /><br />A theoretical analysis of the overall mean squared error (MSE) in hybrid video coding is presented for the case of error prone transmission. Our model covers the complete transmission system including the rate-distortion performance of the video encoder, forward error correction, interleaving, and the effect of error concealment and interframe error propagation at the video decoder. The channel model used is a 2-state Markov model describing burst errors on the symbol level. Reed-Solomon codes are used for forward error correction. Extensive simulation results using an H.263 video codec are provided for verification. Using the model, the optimal tradeoff between INTRA and INTER coding as well as the optimal channel code rate can be determined for given channel parameters by minimizing the expected MSE at the decoder. The main focus of this paper is to show the accuracy of the derived analytical model and its applicability to the analysis and optimization of an entire video transmission system Analysis of video transmission over lossy channels K Stuhlmuller N Farber M Link B Girod doi:10.1109/49.848253 Selected Areas in Communications, IEEE Journal on, Vol. 18, No. 6. (2000), pp. 1012-1032. 2006-07-30T05:53:54-00:00 2000 Selected Areas in Communications, IEEE Journal on 18 6 1012 1032 distortion rate http://www.citeulike.org/user/p2pstreaming/article/2752877 <i>(2007), pp. 37-46.</i> Rate allocation for multi-user video streaming over heterogenous access networks Xiaoqing Zhu Piyush Agrawal Jatinder Singh Tansu Alpcan Bernd Girod doi:10.1145/1291233.1291247 (2007), pp. 37-46. 2008-05-04T05:14:35-00:00 2007 37 46 ACM allocation rate