10,431 research outputs found
Evaluation of the MDC and FEC over the quality of service and quality of experience for video distribution in ad hoc networks
Mobile ad hoc networks (MANETs) offer an excellent scenario for deploying communication applications because of the connectivity and versatility of this kind of networks. In contrast, the topology is usually extremely dynamic causing high rate of packet loss, so that ensuring a specific Quality of Service (QoS) for real-time video services becomes a hard challenge. In this paper, we evaluate the effect of using Multiple Description Coding (MDC) and Forward Error Correction (FEC) techniques for improving video quality in a multimedia content distribution system. A hybrid architecture using fixed and wireless ad hoc networks is proposed, which enables the use of multipoint-to-point transmission. MDC and FEC mechanisms can be combined with multipath transmission to increase the network efficiency and recover lost packets, improving the overall Quality of Experience (QoE) of the receiver. Simulations have been analyzed paying attention to objective parameters (Peak Signal to Noise Ratio, Packet Delivery Ratio, Decodable Frame Rate and interruptions) and subjective parameters. Results show that MDC increases the probability of packet delivery and FEC is able to recover lost frames and reduce video interruptions in moderate mobility scenarios, resulting in the improvement of video quality and the final user experience.This work was supported by project MIQUEL (TEC2007- 68119-C02-01/TCM) of the Spanish Ministry of Education and Science. The authors would like to thank the Editor and the reviewers for helpful suggestions to improve the quality of this paper.Acelas Delgado, P.; Arce Vila, P.; Guerri Cebollada, JC.; Castellanos HernĂĄndez, WE. (2014). Evaluation of the MDC and FEC over the quality of service and quality of experience for video distribution in ad hoc networks. Multimedia Tools and Applications. 68(3):969-989. https://doi.org/10.1007/s11042-012-1111-3969989683Apostolopoulos JG, Wong T, Tan W, Wee SJ (2002) On multiple description streaming with content delivery networks. IEEE INFOCOMBoukerche A (2009) Algorithms and protocols for wireless and mobile ad hoc networks. John Wiley & Sons IncChow CO, Ishii H (2007) Enhancing real-time video streaming over mobile ad hoc networks using multipoint-to-point communication. Comput Commun 30:1754â1764Clausen T, Jacquet P (2003) Optimized link state routing protocol (OLSR), RFC 3626Corrie B et al (2003) Towards quality of experience in advanced collaborative environments. Third Annual Workshop on Advanced Collaborative EnvironmentsGabrielyan E, Hersch R (2006) Reliable multi-path routing schemes for real-time streaming. International Conference on Digital Telecommunications, pp 65â65Gandikota VR, Tamma BR, Murthy CSR (2008) Adaptive-FEC based packet loss resilience scheme for supporting voice communication over adhoc wireless networks. IEEE Trans Mobile Comput 7:1184â1199Gharavi H (2008) Multi-channel for multihop communication links. International Conference on Telecommunications, pp 1â6Grega M, Janowski L, Leszczuk M, Romaniak P, Papir Z (2008) Quality of experience evaluation for multimedia services. PrzeglÄ
d Telekomunikacyjny i WiadomoĹci Telekomunikacyjne 4:142â153Hsieh MY, Huang YM, Chian TC (2007) Transmission of layered video streaming via multi-path on ad hoc networks. Multimed Tool Appl 34:155â177ITUâInternational Telecommunication Union (2007) Definition of quality of experience (QoE)â, Reference: TD 109rev2 (PLEN/12)ITU-R Recommendation BT.500-12 (2009) Methodology for the subjective assessment of the quality of television pictures. International Telecommunication Union, GenevaITU-T Recommendation P.910 (2000) Subjective video quality assessment methods for multimedia applications. International Telecommunication Union, GenevaKao KL, Ke ChH, Shieh CH (2006) An advanced simulation tool-set for video transmission performance evaluation. IEEE Region 10 Conference, pp 1â40Ke CH et al (2006) A novel realistic simulation tool for video transmission over wireless network. Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous, and Trsutworthy ComputingKeisuke U, Cheeonn C, Hiroshi I (2008) A study on video performance of multipoint-to-point video streaming with multiple description coding over ad hoc networks. EEJ Trans Electron, Inf Syst 128:1431â1437Kilkki K (2008) Quality of experience in communications ecosystem. J Univers Comput Sci 14:615â624Li A (2007) RTP payload format for generic forward error correction. RFC 5109, Dec. 2007Li J, Blake C, Couto DD, Lee H, Morris R (2001) Capacity of ad hoc wireless networks. 7th Annual International Conference on Mobile Computing and Networking, pp 16â21Liao Y, Gibson JD (2011) Routing-aware multiple description video coding over mobile ad-hoc networks. IEEE Trans Multimed 13:132â142Lindeberg M, Kristiansen S, Plagemann T, Goebel V (2011) Challenges and techniques for video streaming over mobile ad hoc networks. Multimed Syst 17:51â82Mao S et al (2003) Video transport over ad hoc networks: multistream coding with multipath transport. IEEE J Sel Area Comm 21:1721â1737Ni P (2009) Towards Optimal Quality of Experience Via Scalable Video Coding. Mälardalen University Press Licentiate Theses, SwedenPinson MH, Wolf S (2004) A new standardized method for objectively measuring video quality. IEEE Trans Broadcast 50:312â322Rong B, Qian Y, Lu K, Hu RQ, Kadoch M (2010) Multipath routing over wireless mesh networks for multiple description video transmission. IEEE J Sel Area Comm 28:321â331Schierl T, Ganger K, Hellge C, Wiegand T, Stockhammer T (2006) SVC-based multisource streaming for robust video trans- mission in mobile ad hoc networks. IEEE Wireless Comm 13:96â103Schierl T, Stockhammer T, Wiegand T (2007) Mobile video transmission using scalable video coding. IEEE Trans Circ Syst Video Tech 17:1204â1217Schwarz H, Marpe D, Wiegand T (2007) Overview of the scalable video coding extension of the H.264/AVC standard. IEEE Trans Circ Syst Video Tech 17:1103â1120VQEG (2008) Video quality experts group. Available online: http://www.vqeg.orgWang Z et al (2004) Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process 13:600â612Wei W, Zakhor A (2004) Robust multipath source routing protocol (RMPSR) for video communication over wireless ad hoc net- works. Proceedings of IEEE International Conference on Multimedia and Expo 2:1379â1382Winkler S, Mohandas P (2008) The evolution of video quality measurement: from PSNR to hybrid metrics. IEEE Trans Broadcast 54:660â668Xunqi Y, Modestino JW, Bajic IV (2005) Performance analysis of the efficacy of packet-level FEC in improving video transport over networks. IEEE International Conference on Image Processing 2:177â180Zink M, Schmitt J, Steinmetz R (2005) Layer-encoded video in scalable adaptive streaming. IEEE Trans Multimed 7:75â8
High Quality of Service on Video Streaming in P2P Networks using FST-MDC
Video streaming applications have newly attracted a large number of
participants in a distribution network. Traditional client-server based video
streaming solutions sustain precious bandwidth provision rate on the server.
Recently, several P2P streaming systems have been organized to provide
on-demand and live video streaming services on the wireless network at reduced
server cost. Peer-to-Peer (P2P) computing is a new pattern to construct
disseminated network applications. Typical error control techniques are not
very well matched and on the other hand error prone channels has increased
greatly for video transmission e.g., over wireless networks and IP. These two
facts united together provided the essential motivation for the development of
a new set of techniques (error concealment) capable of dealing with
transmission errors in video systems. In this paper, we propose an flexible
multiple description coding method named as Flexible Spatial-Temporal (FST)
which improves error resilience in the sense of frame loss possibilities over
independent paths. It introduces combination of both spatial and temporal
concealment technique at the receiver and to conceal the lost frames more
effectively. Experimental results show that, proposed approach attains
reasonable quality of video performance over P2P wireless network.Comment: 11 pages, 8 figures, journa
Hybrid FLUTE/DASH video delivery over mobile wireless networks
This paper describes how FLUTE (File Delivery over Unidirectional Transport) and DASH (Dynamic Adaptive Streaming over HTTP) can be used to provide mobile video streaming services over broadcast wireless networks. FLUTE is a multicast protocol for multimedia file download. In this proposal, the protocol is adapted to provide video streaming services in crowded environments. Thus, video is delivered over a single connection to all viewers, reducing the traffic in the network. FLUTE incorporates an AL-FEC (Application Layered Forward Error Correction) mechanism in order to improve the reliability of the broadcast communication channel. For streaming applications, AL-FEC improves the relationship between the PSNR (Peak Signal-to-Noise Ratio) of the received video and the bandwidth allocated to the broadcast connection. The AL-FEC hereby presented applies simple unequal error protection schemes to favor the download of key frames. Furthermore, the proposal is based on the same video segmentation mechanism as DASH and therefore, clients can connect to a DASH repository to repair errors in the segments. This paper shows that FLUTE and DASH can be seamlessly integrated into a hybrid broadcast/unicast streaming technology, providing flexibility to trade off PSNR and bandwidth depending on the conditions of the mobile network.This work was supported by the 11012 ICARE (Innovative Cloud Architecture for Real Entertainment) project within the ITEA 2 Call 6 Program of the European Union.Belda Ortega, R.; De Fez Lava, I.; Fraile Gil, F.; Arce Vila, P.; Guerri Cebollada, JC. (2014). Hybrid FLUTE/DASH video delivery over mobile wireless networks. Transactions on Emerging Telecommunications Technologies. 25(11):1070-1082. doi:10.1002/ett.2804S107010822511ETSI TS 126 346 v11.3.0. Universal Mobile Telecommunications Systems (UMTS); LTE; Multimedia Broadcast/Multicast Service (MBMS); Protocols and Codecs 2013Lecompte, D., & Gabin, F. (2012). Evolved multimedia broadcast/multicast service (eMBMS) in LTE-advanced: overview and Rel-11 enhancements. IEEE Communications Magazine, 50(11), 68-74. doi:10.1109/mcom.2012.6353684Stockhammer T Luby MG DASH in mobile networks and services. Presented at IEEE Visual Communications and Image Processing (VCIP) , 2012Seeling, P., & Reisslein, M. (2012). Video Transport Evaluation With H.264 Video Traces. IEEE Communications Surveys & Tutorials, 14(4), 1142-1165. doi:10.1109/surv.2011.082911.00067Zhao, S., Tuninetti, D., Ansari, R., & Schonfeld, D. (2012). Multiple description coding over multiple correlated erasure channels. Transactions on Emerging Telecommunications Technologies, 23(6), 522-536. doi:10.1002/ett.2507Lin, C.-H., Wang, Y.-C., Shieh, C.-K., & Hwang, W.-S. (2012). An unequal error protection mechanism for video streaming over IEEE 802.11e WLANs. Computer Networks, 56(11), 2590-2599. doi:10.1016/j.comnet.2012.04.004Paila T Walsh R Luby M Roca V Lehtonen R FLUTE - file delivery over unidirectional transport. 2012Luby M Watson M Vicisano L Asynchronous layered coding (ALC) protocol instantiation. 2010Ameigeiras, P., Ramos-Munoz, J. J., Navarro-Ortiz, J., & Lopez-Soler, J. M. (2012). Analysis and modelling of YouTube traffic. Transactions on Emerging Telecommunications Technologies, 23(4), 360-377. doi:10.1002/ett.2546ISO/IEC 23009-1. Dynamic adaptive streaming over HTTP (DASH) - Part 1: media presentation description and segment formats 2012De Fez, I., Fraile, F., Belda, R., & Guerri, J. C. (2012). Analysis and Evaluation of Adaptive LDPC AL-FEC Codes for Content Download Services. IEEE Transactions on Multimedia, 14(3), 641-650. doi:10.1109/tmm.2012.2190392Jenkac, H., Stockhammer, T., & Wen Xu. (2006). Asynchronous and reliable on-demand media broadcast. IEEE Network, 20(2), 14-20. doi:10.1109/mnet.2006.1607891Neumann C Roca V Scalable video streaming over ALC (SVSoA): a solution for the large scale multicast distribution of videos. Presented at 1st Int. Workshop on SMDI , 2004Lederer S MĂźller C Timmerer C Dynamic adaptive streaming over HTTP dataset Proc. of the ACM Conference on Multimedia Systems (MMSys) 2012 89 94Blender Foundation webpage http://www.blender.org/blenderorg/Bai, H., & Atiquzzaman, M. (2003). Error modeling schemes for fading channels in wireless communications: A survey. IEEE Communications Surveys & Tutorials, 5(2), 2-9. doi:10.1109/comst.2003.5341334Ohm, J.-R. (2004). Multimedia Communication Technology. Signals and Communication Technology. doi:10.1007/978-3-642-18750-
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Multimedia delivery in the future internet
The term âNetworked Mediaâ implies that all kinds of media including text, image, 3D graphics, audio
and video are produced, distributed, shared, managed and consumed on-line through various networks,
like the Internet, Fiber, WiFi, WiMAX, GPRS, 3G and so on, in a convergent manner [1]. This white
paper is the contribution of the Media Delivery Platform (MDP) cluster and aims to cover the Networked
challenges of the Networked Media in the transition to the Future of the Internet.
Internet has evolved and changed the way we work and live. End users of the Internet have been confronted
with a bewildering range of media, services and applications and of technological innovations concerning
media formats, wireless networks, terminal types and capabilities. And there is little evidence that the pace
of this innovation is slowing. Today, over one billion of users access the Internet on regular basis, more
than 100 million users have downloaded at least one (multi)media file and over 47 millions of them do so
regularly, searching in more than 160 Exabytes1 of content. In the near future these numbers are expected
to exponentially rise. It is expected that the Internet content will be increased by at least a factor of 6, rising
to more than 990 Exabytes before 2012, fuelled mainly by the users themselves. Moreover, it is envisaged
that in a near- to mid-term future, the Internet will provide the means to share and distribute (new)
multimedia content and services with superior quality and striking flexibility, in a trusted and personalized
way, improving citizensâ quality of life, working conditions, edutainment and safety.
In this evolving environment, new transport protocols, new multimedia encoding schemes, cross-layer inthe
network adaptation, machine-to-machine communication (including RFIDs), rich 3D content as well as
community networks and the use of peer-to-peer (P2P) overlays are expected to generate new models of
interaction and cooperation, and be able to support enhanced perceived quality-of-experience (PQoE) and
innovative applications âon the moveâ, like virtual collaboration environments, personalised services/
media, virtual sport groups, on-line gaming, edutainment. In this context, the interaction with content
combined with interactive/multimedia search capabilities across distributed repositories, opportunistic P2P
networks and the dynamic adaptation to the characteristics of diverse mobile terminals are expected to
contribute towards such a vision.
Based on work that has taken place in a number of EC co-funded projects, in Framework Program 6 (FP6)
and Framework Program 7 (FP7), a group of experts and technology visionaries have voluntarily
contributed in this white paper aiming to describe the status, the state-of-the art, the challenges and the way
ahead in the area of Content Aware media delivery platforms
Robust video coder solution for wireless streaming: applications in Gaussian channels
With the technological progress in wireless communications seen in the past decade, the miniaturization of personal computers was imminent. Due to the limited availability of resources in these small devices, it has been preferable to stream the media over widely deployed networks like the Internet. However, the conventional protocols used in physical and data-link layers are not adequate
for reliable video streaming over noisy wireless channels. There are several popular and well-studied mechanisms for addressing this problem, one of them being Multiple-Description-Coding. However, proposed solutions are too specialized, focusing the coding of either motion or spatial information; thus failing to address the whole problem, that is - the robust video coding.
In this thesis a novel MDC video coder is presented, which was developed during an internship at the I3S laboratory - France. The full coding scheme is capable of robust transmission of Motion-Vectors and wavelet-subband information over noisy wireless channels. The former is accomplished
by using a MAP-based MD-decoding algorithm available in literature, while the robust transmission of wavelet-subbands is achieved using a state-of-the-art registry-based JPEG-2000 MDC. In order to e ciently balance MV information between multiple descriptions, a novel R/D-optimizing MD bitallocation
scheme is presented. As it is also important to e ciently distribute bits between subband
and motion information, a global subband/motion-vector bit-allocation technique found in literature was adopted and improved. Indeed, this thesis would not be complete without the presentation of
produced streams as well as of a set of backing scienti c results
Wireless Video Transmission with Over-the-Air Packet Mixing
In this paper, we propose a system for wireless video transmission with a
wireless physical layer (PHY) that supports cooperative forwarding of
interfered/superimposed packets. Our system model considers multiple and
independent unicast transmissions between network nodes while a number of them
serve as relays of the interfered/superimposed signals. For this new PHY the
average transmission rate that each node can achieve is estimated first. Next,
we formulate a utility optimization framework for the video transmission
problem and we show that it can be simplified due to the features of the new
PHY. Simulation results reveal the system operating regions for which
superimposing wireless packets is a better choice than a typical cooperative
PHY.Comment: 2012 Packet Video Worksho
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