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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Maryam Haghighat Reji Mathew Aous Naman Sean Young David Taubman School of Electrical Engineering and Telecommunications The University of New South Wales Australia

ISBN: (纸本)9781538646595

We propose a rate-distortion optimized framework for estimating illumination changes (lighting variations, fade in/out effects) in a highly scalable coding system. Illumination variations are realized using multiplicative factors in the image domain and are estimated considering the coding cost of the illumination field and input frames which are first subject to a temporal Lifting-based Illumination Adaptive Transform (LIAT). The coding cost is modelled by an ?_1 - norm optimization problem which is derived to approximate a quadratic-log function which emerges from rate-distortion considerations. The optimization problem is solved using ADMM. The proposed solution works the same or better than a mesh-based approach proposed in prior work, where sparsity was controlled by explicitly choosing mesh parameters. In the compression-inspired formulation presented here, sparsity is discovered automatically through the solution of a convex program that depends only on a target rate-distortion operating point.

关键词： Wavelet-based coding Illumination estimation R-D optimization scalable video coding

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Bitrate Adaptation in Backward-Shifted coding for HTTP Adaptive video Streaming

Bitrate Adaptation in Backward-Shifted Coding for HTTP Adapt...

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IEEE International Conference on Communications (ICC)

作者： Ye, Zakaria El-Azouzi, Rachid Jimenez, Tania De Pellegrini, Francesco Valentin, Stefan Univ Avignon LIA CERI F-84000 Avignon France Fdn Bruno Kessler Via Sommar 18 I-38123 Trento Italy Huawei Technol Boulogne France

ISBN: (纸本)9781467389990

HTTP Adaptive Streaming is able to dynamically match video quality to variable network conditions. This is a key feature for multimedia delivery when quality of service cannot be granted network-wide. For instance, the end-to-end throughput towards mobile terminals may suffer short term fluctuations due to fading. Hence, robust bitrate adaptation schemes become crucial in order to avoid degraded video reproduction. The objective, in this context, is to control the filling level of the playback buffer, maximize the video quality, and avoid unnecessary quality variations which may also impair the perceived quality of experience. In this work we study bitrate adaptation algorithms leveraging on Backward-Shifted coding (BSC), a scalable video coding scheme able to cope with the effects of end-to-end throughput fluctuations. We have proposed a new adaptation scheme able to balance video rate smoothness and high network capacity utilization. Both the throughput-based and buffer-based variants of such scheme have been designed. Extensive simulations using synthetic and real-world video traffic traces show that the proposed solution performs remarkably well even under challenging network conditions.

关键词： scalable video coding Backward-Shifted coding Bitrate adaptation video quality Quality of experience

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Socially Aware Energy-Efficient Mobile Edge Collaboration for video Distribution

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IEEE TRANSACTIONS ON MULTIMEDIA 2017年第10期19卷 2197-2209页

作者： Wu, Dapeng Liu, Qianru Wang, Honggang Wu, Dalei Wang, Ruyan Chongqing Univ Posts & Telecommun Chongqing 400065 Peoples R China Univ Massachusetts Dartmouth N Dartmouth MA 02747 USA Univ Tennessee Chattanooga TN 37403 USA

To relieve the current overload of cellular networks caused by the continuously growing multimedia service, mobile edge collaboration, which exploits edge users to distribute videos for base station (BS), provides an effective way to share the heavy BS load. With the emergence of mobile edge technologies for Internet-of-Things applications, such as device to device and machine to machine, how to exploit users' social characteristics and mobility to minimize the number of transmissions of BS and how to improve the quality of experience of users have become the key challenges. In this paper, we study two aspects that are critical to these issues. One is the two-step detection mechanism, namely the establishment of virtual communities and collaborative clusters. Specifically, we take into consideration user preference for content and location. First of all, a virtual community is established, which exploits the coalition game based on the user's preference list to dynamically divide users into multiple communities. Then, to take full advantage of the temporary link established between users, a grid-based clustering method is proposed to manage the video requesting users. On the other hand, we propose a scalable video coding sharing scheme based on user's social attributes. This approach makes video distribution more flexible at the edge of mobile network through collaboration among users, and effectively reduces transmission energy consumption of transmitters. Numerical results showthat the proposed mechanism can not only effectively alleviate the BS load, but also dramatically improve the reliability and adaptability of video distribution.

关键词： Mobile edge collaboration scalable video coding video distribution multicast energy-efficient user attributes

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Genetic-optimization framework for SVC transmission based on partial cooperative communication

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Journal of Systems Engineering and Electronics 2017年第5期28卷 861-870页

作者： Kai Zhao Yongcheng Sun The 28th Research Institute of China Electronics Technology Group Corporation

A genetic-optimization framework based on the partial cooperation communication protocol is proposed for scalable video coding (SVC) stream transmission under multi-relay amplify and forward cooperative networks. Unlike traditional cooperative transmission schemes, the transmission mode for each coded unit in this new protocol can be switched flexibly between direct transmission and cooperative transmission. Obviously, under this protocol, the bandwidth efficiency and transmission robustness can be balanced adaptively according to the priority level of coded units and wireless channel fading characteristics. Based on this, a well-known genetic optimization algorithm-differential evolution is exploited here to find the jointly optimal transmission modes, power allocation and unequal error protection (UEP) channel coding strategies to minimize the end to end reconstructed video distortion. Extensive simulation results show that, compared with classical optimal cooperative UEP transmission schemes, the proposed optimized transmission framework based on the partial cooperative protocol can bring significant peak-signal-to-noise-ratio (PSNR) gains for the reconstructed video in a variety of channel bandwidth, power budget and test sequences.

关键词： scalable video coding partial cooperative communication unequal error protection source-relay power allocation differential evolution

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Reliable video Streaming With Strict Playout Deadline in Multihop Wireless Networks

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IEEE TRANSACTIONS ON MULTIMEDIA 2017年第10期19卷 2238-2251页

作者： Al-Zubaidy, Hussein Fodor, Viktoria Dan, Gyorgy Flierl, Markus KTH Royal Inst Technol Sch Elect Engn Access Linnaeus Ctr S-11428 Stockholm Sweden

Motivated by emerging vision-based intelligent services, we consider the problem of rate adaptation for high-quality and low-delay visual information delivery over wireless networks using scalable video coding. Rate adaptation in this setting is inherently challenging due to the interplay between the variability of the wireless channels, the queuing at the network nodes, and the frame-based decoding and playback of the video content at the receiver at very short time scales. To address the problem, we propose a low-complexity model-based rate adaptation algorithm for scalable video streaming systems, building on a novel performance model based on stochastic network calculus. We validate the analytic model using extensive simulations. We show that it allows fast near-optimal rate adaptation for fixed transmission paths, as well as cross-layer optimized routing and video rate adaptation in mesh networks, with less than 10% quality degradation compared to the best achievable performance.

关键词： Multihop fading channels network calculus performance analysis scalable video coding wireless multimedia

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SIP and SDP based content adaptation during real-time video streaming in Future Internets

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MULTIMEDIA TOOLS AND APPLICATIONS 2017年第20期76卷 21171-21191页

作者： Ramakrishna, M. Karunakar, A. K. Manipal Univ Manipal Inst Technol Dept Informat & Commun Technol Manipal 576104 Karnataka India Manipal Univ Manipal Inst Technol Dept Comp Applicat Manipal 576104 Karnataka India

Future Internet technology supports content adaptation to improve the QoS / QoE in a heterogeneous environment. The adaptation process removes partial data to meet either receiver capability or network capability. The process of adaptation is efficient when it is performed in the network rather than in the sender side or receiver end. In-network adaptation is performed by intelligent intermediate devices, which implement Content Aware Network and Content Centric Network, to process the contents. The adaptation decision taking module requires prior knowledge about end devices, network capacity and content's meta-data to decide the extraction points. This paper proposes a model to signal the terminal, network and media capabilities with the intermediate devices. The proposed model reduces the number of messages exchanged between end devices, intermediate devices and media server during session creation. Additionally, this method proposes a way to signal network dynamics such as change in bandwidth and buffer space with the intermediate devices to improve the video quality with the available resources. The proposed session signaling scheme is developed by extending traditional Session Initiation Protocol and Session Description Protocol and tested for suitability using virtual networking environment.

关键词： video streaming scalable video coding video adaptation Future internets Media aware network elements Session establishment Software defined networks

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scalable video coding based on high efficiency video coding (HEVC)

Scalable video coding based on high efficiency video coding ...

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13th IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, PACRIM 2011

作者： Choi, Hyomin Nam, Junghak Sim, Donggyu Bajić, Ivan V. Kwangwoon University Korea Republic of Simon Fraser University Canada

ISBN: (纸本)9781457702518

In this paper, we propose two structures for scalable video coding (SVC) based on HEVC. Several inter-layer prediction mechanisms are introduced to improve coding efficiency of the proposed HEVC-based SVC. The proposed inter-layer predictions are developed on single-loop and multi-loop decoding structures. We found that the proposed SVC is able to decrease average bitrates of enhancement layers by about 10.2% for the all-intra case, and 7.4% for the random access case, compared with single layer coding with no inter-layer prediction in multi-loop decoding. In addition, the single-loop decoding with the proposed inter-layer predictions achieves coding gains of 10.2% for the all-intra case, and 2.6% for the random access case. © 2011 IEEE.

关键词： scalable video coding

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scalable video coding Transmission over Heterogeneous Networks

Scalable Video Coding Transmission over Heterogeneous Networ...

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3rd International Conferences on Advances in Multimedia (MMEDIA)

作者： Farrugia, Reuben A. Cutajar, Lucianne Univ Malta Dept Communicat & Comp Engn Msida 2080 MSD Malta

ISBN: (纸本)9781612081298

video streaming is currently occupying a huge chunk of the Internet bandwidth. This is mainly attributed to the wide variety of applications that are being transmitted over current Internet infrastructure, such as videoconferencing, mobile television (TV), Internet video streaming, and Internet Protocol TV (IPTV). These applications are generally encoded using the H. 264/AVC codec which encodes the video content into a single layer stream with a fixed spatio-temporal video resolution. This poses a limitation for such applications since the same video content must be encoded into different streams in order to cater for heterogeneous devices demanding different spatio-temporal resolutions. This paper presents the performance evaluation of the recent H. 264/SVC standard. The H. 264/SVC encodes the video into different layers and the receiving device can decide to drop some layers in order to meet the required spatio-temporal resolution. This work shows that transmission of H. 264/SVC using multicasting provides a substantial reduction in bandwidth requirement over traditional H. 264/AVC. Simulation results further demonstrate that the H. 264/SVC provides less congestion and is thus provides better Quality of Experience (QoE).

关键词： Computer Networks H. 264/SVC Quality of Service scalable video coding video Streaming

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Logical Superposition Coded video Multicast/Broadcast

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IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 2017年第2期66卷 1379-1392页

作者： She, James Ho, James Chen, Zhi Ho, Pin-Han Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Kowloon Hong Kong Peoples R China Univ Cambridge Cambridge CB2 1TN England Univ Waterloo Dept Elect & Comp Engn Waterloo ON N2L 3G1 Canada

Joint source and channel coding (JSCC) has been widely reported for its superb capability in mitigating the legacy channel/user diversity problem in the wireless multicast/broadcast scenario, where the successively refined source information is manipulatively mapped with superimposed channel symbols via superposition coding (SPC). However, the use of SPC involves additional hardware in the physical layer, which may not be in compliance with most standard equipments and protocols. This paper introduces a novel framework of logical SPC (L-SPC) modulation for multicast/broadcast of successively refined sources via the JSCC approach. The framework is characterized by completely software-based L-SPC modulation at the sender, where the modulated signal is generated by mapping successively refined information bits onto a single signal constellation. At the receiving end, the proposed framework only needs simple modifications in the medium access control layer software, while the required demodulation schemes are completely compatible with the standard ones with uniform constellation. Generalized formulations on symbol error rate (SER) are derived for performance evaluation and comparisons with the conventional hardware-based approach for both the 2-and 3-layer cases.

关键词： Multiuser channel diversity scalable video coding superposition coding (SPC) wireless multicast/broadcast

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Optimizing broadcast duration for layered video streams in cellular networks

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PEER-TO-PEER NETWORKING AND APPLICATIONS 2017年第3期10卷 765-779页

作者： Feng, Guangsheng Li, Yue Zhao, Qian Wang, Huiqiang Lv, Hongwu Lin, Junyu Harbin Engn Univ Harbin 150001 Peoples R China Hangzhou Dianzi Univ Key Lab Complex Syst Modeling & Simulat Minist Educ Hangzhou 310018 Zhejiang Peoples R China Univ Victoria Dept Elect & Comp Engn Victoria BC V8W 3P6 Canada Harbin Univ Commerce Harbin 150028 Peoples R China Chinese Acad Sci Inst Informat Engn Beijing 100093 Peoples R China

We study the layered video transmission optimization problem in the cellular networks, in which all User Equipments (UEs) require the same video content simultaneously via the cellular downlink transmission from the Base Station (BS) and Device-to-Device (D2D) transmission from other UEs. First, we propose a probability-based framework for each video layer to measure the video playback quality in terms of the outage probability. Next, the layered video transmission optimization problem is formulated as a Peak Signal-to-Noise Ratio (PSNR) loss minimization problem, which is then converted to an unmatured probability minimization problem by adding a differentiation weight on each layer based on its importance to the playback quality. In addition, we prove the formulated problem to be a log-convex optimization problem. Finally, we conduct extensive simulations to show that the proposed approach achieves the optimal allocation of the broadcast duration for each layer under various network conditions.

关键词： Cellular networks Cellular downlink transmission D2D transmission scalable video coding

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