Research Project: DIstribution Of Multi-view Entertainment using content aware DElivery Systems
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Contributors
Funders
ID
EC.00017
Authors
Tekalp, Ahmet Murat
Faculty Member
Publications
Variable chunk size and adaptive scheduling window for P2P streaming of scalable video
(IEEE, 2012) Gürler, Cihat Göktuğ; Savaş, Saadet Sedef; Tekalp, Ahmet Murat; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Yes; College of Engineering; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
Inspired by the success of BitTorrent in peer-to-peer (P2P) file sharing, many research groups have proposed extensions of BitTorrent to enable P2P video delivery over the Internet in a time-sensitive manner. However, fixed sized chunks, a feature of the Torrent protocol, leads to inefficiency in application layer framing for error resilient video streaming, since video slices are variable length when encoded at constant quality. This paper proposes two modifications to the Torrent protocol, variable chunk size and adaptive scheduling window, for efficient, error-resilient, adaptive P2P streaming of scalable video. Experimental results show that the proposed modifications yield superior results in terms of number of decoded frames, hence superior quality of experience, in P2P video streaming.
Content aware delivery of visual attention based scalable multi-view video over P2P
(Institute of Electrical and Electronics Engineers, 2012) Gürler, Cihat Göktuğ; Savaş, Saadet Sedef; Ekmekcioglu, Erhan; Arachchi, Hemantha Kodikara; Kondoz, Ahmet; Department of Electrical and Electronics Engineering; No; College of Engineering
3D media applications have become widespread thanks to the intense research being conducted on 3D enabling technologies, commercial products being released and service providers. There is also a huge potential for IP network to become a major means for delivering 3D video services, being highly flexible and allowing much custom and scalable applications to take up. Peer-to-Peer (P2P) video streaming, which offers high scalability in the presence of many media consuming peers, is suitable for multi-view video applications with significantly higher bandwidth requirements. To exploit flexible streaming and also serve a range of displays, P2P networking should be combined with scalable coded multi-view video that offers a useful bit-rate and maximum viewpoint adaptation range. However, since maintaining users' Quality of Experience (QoE) is a primary target, scalable coded video should ensure that perceptually sensible visual data is delivered with high accuracy at all times to users, even under severe network conditions. Hence, content-based visual attention models provide a suitable means for letting salient video data be delivered at all times to users. With the utilization of appropriate adaptation decision making process in users' equipment, the P2P protocol can adaptively stream the scalable 3D media. Work presented in this paper explains such a delivery framework over P2P networks.
Adaptive multi-view video streaming over P2P networks considering quality of experience
(Association for Computing Machinery, 2011) Gürler, Cihat Göktuğ; Savaş, Saadet Sedef; Tekalp, Ahmet Murat; Department of Electrical and Electronics Engineering; Graduate School of Sciences and Engineering; Yes; College of Engineering; GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
Peer-to-peer (P2P) video streaming has recently drawn significant attention since P2P solutions offer scalability with increasing number of recipients. P2P streaming may be a feasible solution for multi-view video (MVV) delivery, which has significantly higher bandwidth requirements than the legacy 2D video. However, a practical P2P MVV service cannot be achieved without properly addressing the perceived quality of experience (QoE) of MVV. QoE is an important issue especially in adaptive video streaming in which the quality of the content varies to match the available channel capacity. In this study, we first evaluate the perceived quality of MVV, when various adaptation methods are adopted to scale MVV bitrate to a given rate, by using subjective tests. The results of these tests are used to identify the best rate adaptation method. Next, we propose a mesh-based P2P streaming architecture that employs rate adaptation according to the findings to deliver the best QoE under diverse network conditions. We implemented our protocols and ran experiments on PlanetLab testbed to evaluate the performance of our proposed solution. The experimental results validate that the proposed adaptation strategy ensures continuous play-out by prioritizing transmission of the base-layer and augments the video quality when additional bit rate is available.
Adaptive streaming of multi-view video over P2P networks
(Elsevier, 2012) Gürler, Cihat Göktuğ; Savaş, Saadet Sedef; Tekalp, Ahmet Murat; Ekmekçioğlu, Erhan; Worrall, Stewart; Kondoz, Ahmet; Department of Electrical and Electronics Engineering; Yes; College of Engineering
In this paper, we propose a novel solution for the adaptive streaming of 3D representations in the form of multi-view video by utilizing P2P overlay networks to assist the media delivery and minimize the bandwidth requirement at the server side. Adaptation to diverse network conditions is performed regarding the features of human perception to maximize the perceived 3D. We have performed subjective tests to characterize these features and determined the best adaptation method to achieve the highest possible perceived quality. Moreover, we provide a novel method for mapping from scalable video elementary stream to torrent-like data chunks for adaptive video streaming and provide an optimized windowing mechanism that ensures timely delivery of the content over yanlis gibi. The paper also describes techniques generating scalable video chunks and methods for determining system parameters such as chunk size and window length.
Adaptive multiview video delivery using hybrid networking
(Ieee-Inst Electrical Electronics Engineers Inc, 2017) Tekalp, Ahmet Murat; Ekmekçioglu, Erhan; Gürler, Cihat Goktuğ; Kondoz, Ahmet; Department of Electrical and Electronics Engineering; Yes; College of Engineering
Multiview entertainment is the next step in 3D immersive media networking owing to its improved depth perception and free-viewpoint viewing capability whereby users can observe the scene from the desired viewpoint. This paper outlines a delivery system for multiview plus depth video, combining the broadcast and broadband networks. The digital video broadcast (DVB) network is used along with adaptive peer-to-peer (P2P) distribution over the Internet to deliver high-volume multimedia to users. The DVB network has been used to deliver part of the 3D service, owing to its robustness and wide availability, as a mechanism to guarantee the minimum 3D quality of experience. The developed system brings key contributions in the P2P transport for real-time multimedia delivery, including a user preference-aware adaptation mechanism, adaptive redundant chunk scheduling for robustness, incentives to decrease the load on the content server for improved system scalability, and resynchronization capability with the DVB transmission. The introduced features are compared with those of some other well-known P2P solutions to highlight the quantitative gains. A subjective testing campaign has also been organized on the developed hybrid platform, which proves the effectiveness of user-aware adaptation over network-based adaptation on a mean opinion score scale.
