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IEEE International Symposium on Circuits and Systems

作者： Minhao Tang Jiangtao Wen Department of Computer Science and Technology Tsinghua University Beijing 100084 China

ISBN: (纸本)9781479983926

The latest High Efficiency Video Coding (HEVC) achieves significant compression performance improvement over Advanced Video Coding (AVC). The high compression efficiency of HEVC together with the wide availabilities of H.264/AVC decoders necessitates transcoding between these two technologies. In this paper, we propose a novel algorithm for software-based HEVC to H.264/AVC transcoding. By utilizing the information extracted from the input HEVC stream, the transcoding process can be accelerated with relatively minor compression efficiency loss. Experiment results show that the proposed transcoding algorithm can save around 60% of the time cost of re-encoding process compared with x264, one of the most widely used H.264 encoders, with very small loss of compression performance.

关键词： HEVC H.264/AVC transcoding transcoding

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Live transcoding and streaming-as-a-service with MPEG-DASH

Live transcoding and streaming-as-a-service with MPEG-DASH

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Christian Timmerer Daniel Weinberger Martin Smole Reinhard Grandl Christopher Müller Stefan Lederer Alpen-Adria-Universität Klagenfurt Institute of Information Technology (ITEC) Austria bitmovin GmbH Klagenfurt Austria

Multimedia content delivery and real-time streaming over the top of the existing infrastructure is nowadays part and parcel of every media ecosystem thanks to open standards and the adoption of the Hypertext Transfer Protocol (HTTP) as its primary mean for transportation. Hardware encoder manufacturers have adopted their product lines to support the dynamic adaptive streaming over HTTP but suffer from the inflexibility to provide scalability on demand, specifically for event-based live services that are only offered for a limited period of time. The cloud computing paradigm allows for this kind of flexibility and provide the necessary elasticity in order to easily scale with the demand required for such use case scenarios. In this paper we describe bitcodin, our transcoding and streaming-as-as-ervice platform based on open standards (i.e., MPEG-DASH) which is deployed on standard cloud and content delivery infrastructures to enable high-quality streaming to heterogeneous clients. It is currently deployed for video on demand, 24/7 live, and event-based live services using bitdash, our adaptive client framework.

关键词： Standards transcoding Transform coding Streaming media Bandwidth Real-time systems Delays

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Performance Evaluation of Video transcoding and Caching Solutions in Mobile Networks

Performance Evaluation of Video Transcoding and Caching Solu...

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International Teletraffic Congress, ITC 21

作者： Salah Eddine Elayoubi James Roberts IRT SystemX Paris France Orange Labs Issy-Les-Moulineaux France

The rapid growth in demand for video streaming applications is stressing the performance of wireless access networks. To alleviate congestion, vendors currently propose devices to be placed in the operator's network that transcode videos to a lower rate in order to reduce traffic volume in case of congestion. The devices are also able to cache popular videos, both to reduce the burden of transcoding and to alleviate backhaul load. The paper proposes a model of this augmented radio access network enabling an evaluation of the performance benefits for given transcoding and caching capacities. Our results show that a gain in cell capacity of 15% can be realized with moderate transcoding and cache capacities.

关键词： Streaming media transcoding Approximation methods Performance evaluation Mobile communication Load modeling

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Design and implementation of a multi video transcoding queue based on MySQL and FFMPEG

Design and implementation of a multi video transcoding queue...

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IEEE International Conference on Software Engineering and Service Sciences (ICSESS)

作者： Yungeng Xu Sanxing Cao Department of Science and Engineering Communication University of China Beijing China New Media Institute Communication University of China Beijing China

ISBN: (纸本)9781479983544

With the development of new media technology, video as the most intuitive and effective media to give people more information. Along with a variety of video compression standards and computer hardware, network technology, all kinds of videos have begun showing explosive growth. Today diversity and network user terminal's own transmission characteristics, video transcoding become a new research hotspot. This paper mainly discusses the implementation of transcoding queue after video upload on the web service side. This paper use FFMPEG as the video transcoding tool. Efficient use of their hardware conditions, proposed a combination of MySQL database transcoding queue approach which ultimately reduces the pressure of the server.

关键词： transcoding Streaming media Databases Standards Linux Real-time systems

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Adaptive bitrate transcoding for power efficient video streaming in mobile devices

Adaptive bitrate transcoding for power efficient video strea...

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International Conference on Signal Processing, Communication and Networking (ICSCN)

作者： K. Hemalatha Praveen Kumar Yadav N. Ramasubramanian Department of Computer Science and Engineering National Institute of Technology Tiruchirappalli India

Video applications are an important part of mobile devices. Capacity of battery is increasing maximum of 10 percentage per year, which may not be sufficient for upcoming application and operating system. Power consumption by video application depends on factors like network load, signal quality, bandwidth and it can be optimized through heuristics based streaming. The work presented here exploits adaptive bitrate streaming to determine the optimum bitrate for available bandwidth. Selection of optimum bitrate ensures quality delivery of video as well as optimum power consumption of the device. Moving Picture Expert Group - Dynamic Adaptive Streaming over HTTP (MPEG-DASH) has been used for implementing the switching between the bitrates. The fifteen bitrates selected for encoding are closer to the mean value which is available for streaming. The approach has been tested on an Android based tablet over thirty videos to check the dependency of the factors on each other. This is the major approach to establish relationship between bitrate and power consumption for video streaming. The result obtained shows a 14 percentage of power saving with minimum buffering and good quality of service.

关键词： Bit rate Mobile communication Streaming media Switches Load modeling Adaptation models transcoding

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Compositing without transcoding for H.265/HEVC in cloud IPTV and VoD services

Compositing without transcoding for H.265/HEVC in cloud IPTV...

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IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Alexandra Mikityuk Oliver Friedrich Robert Skupin Yago Sanchéz Thomas Schierl Security in Telecommunications TU Berlin Germany Telekom Innovation Laboratories Berlin Germany Multimedia Communications Group Fraunhofer Heinrich-Hertz-Institute Berlin Germany

This paper presents an overview of ongoing efforts for creation and delivery of next generation IP television and Video on Demand services. The successful cloud computing paradigm and recent advances in video coding standards are ready to be applied to widely established media services and promise enhanced user experience and reduced cost for operators at the same time. This paper brings together a novel architecture for media services from Deutsche Telekom Innovation Laboratories with cutting edge compressed domain video processing techniques from Fraunhofer Heinrich-Hertz-Institute. In this context, this paper presents an alternative to costly and resource hungry server-side video transcoding, e.g. for insertion of advertisement overlays or user interfaces. The presented concept uses the newly emerged H.265/HEVC standard.

关键词： Streaming media Cloud computing IPTV transcoding Standards Media

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Design and implementation of a video transcoding system in cloud computing platforms

Design and implementation of a video transcoding system in c...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Chung-Yi Wu Jing-Chen Huang Han-Yen Yu Jiann-Jone Chen Electrical Engineering Dept. National Taiwan University of Science and Technology Taipei Taiwan

ISBN: (纸本)9781479987467

With the prevalence of personal computer devices and Internet, it has to provide scalable video coding to serve users under heterogeneous network environments. We proposed to develop a cloud-based video transcoding system, in which a hierarchical scheduling algorithm has been developed to speed up the process. The efficiency can be maintained at 98% and processing time can be reduced to 13% smaller.

关键词： Streaming media transcoding Resource management Heuristic algorithms Cloud computing Scheduling algorithms Transform coding

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Deep Reinforcement Learning for Edge-DASH-Based Dynamic Video Streaming

Deep Reinforcement Learning for Edge-DASH-Based Dynamic Vide...

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IEEE Conference on Wireless Communications and Networking

作者： David Naseh Arash Bozorgchenani Daniele Tarchi Department of Electrical Electronic and Information Engineering “Guglielmo Marconi” University of Bologna Bologna Italy School of Computer Science University of Leeds Leeds UK Department of Information Engineering University of Florence Firenze Italy

ISBN: (数字)9798350368369

ISBN: (纸本)9798350368376

Dynamic Adaptive Streaming over HTTP (DASH) is a promising solution to enhance the Quality of Experience (QoE) of mobile video services. In this paper, we consider an Edge-DASH scenario where two problems of Bitrate Allocation (BrA) and user-to-server allocation (USA) have been jointly formulated. Then, we exploit Deep Reinforcement Learning (DRL) algorithm to solve the USA problem and select the streaming point for users, which can be streaming from the Edge, Macro layer or cloud, and deliver the users the most appropriate bitrate respecting the QoE by solving the BrA problem. In the simulation results, we have demonstrated that our Deep Deterministic Policy Gradient (DDPG) outperforms the traditional solution in terms of bitrate allocation.

关键词： Multi-access edge computing Simulation Bit rate transcoding Deep reinforcement learning Mobile video Quality of experience Resource management Standards Optimization

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Adaptive Coordinated Multicast for Holographic Video Streaming Over Wireless Networks: A Deep Reinforcement Learning Approach

Adaptive Coordinated Multicast for Holographic Video Streami...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Wanli Wen Jiping Yan Yulu Zhang Zhen Huang Liang Liang Yunjian Jia School of Microelectronics and Communication Engineering Chongqing University Chongqing China

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

Holographic video creates an immersive experience for users with lifelike scene reconstruction, yet it comes with the trade-off of managing massive data volumes. Therefore, to maintain a consistent quality of experience (QoE) in wireless networks with fluctuating channel conditions, it is necessary to develop efficient and adaptive holographic video streaming methods. This paper proposes a coordinated multicast streaming framework for holographic video that integrates coordinated multipoint transmission with transcoding-enabled multicasting techniques. Our framework supports the simultaneous transmission of holographic video tiles at various bitrates from multiple multi-antenna base stations to different multicast groups, significantly enhancing the overall viewing experience. We formulate an optimization problem with the goals of improving the average video quality experienced by all users while reducing the energy consumption for transcoding, which is NP-hard. By employing the proximal policy optimization, a leading-edge deep reinforcement learning algorithm, and convex optimization techniques, we develop a dynamic algorithm for joint bitrate selection and resource allocation. Simulations confirm the effectiveness of our algorithm, showing marked improvements in QoE over existing baselines.

关键词： Multicast algorithms Heuristic algorithms Wireless networks Bit rate transcoding Streaming media Quality of experience Resource management Optimization Video recording

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Fast transcoding from H.264 to HEVC based on region feature analysis

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MULTIMEDIA TOOLS AND APPLICATIONS 2014年第3期73卷 2179-2200页

作者： Jiang, Wei Chen, Yaowu Tian, Xiang Zhejiang Univ Inst Adv Digital Technol & Instrument Hangzhou 310003 Zhejiang Peoples R China

The new video coding standard, High Efficiency Video Coding (HEVC), achieves much higher coding efficiency than the state-of-the-art H.264. transcoding H.264 video to HEVC video is important to enable gradual migration to HEVC. Therefore, a fast H.264 to HEVC transcoding algorithm based on region feature analysis is proposed. First, each frame is segmented into three regions in units of coding tree unit (CTU) based on the correlation between image coding complexities and coding bits of the H.264 source stream. Then the searching depth range of each CTU is adaptively decided according to the region type. After that, motion vectors are de-noise filtered and clustered in order to analyze the region features of coding unit (CU). Based on the analysis results, the minimum searching depth of CU and partitions of prediction unit (PU) are optimally selected, and the motion vector predictor and search window size of motion estimation are also optimally decided for further reduction of the computational complexity. Experimental results show that the proposed algorithm achieves a significant improvement on transcoding speed, while maintaining high Rate-Distortion performance.

关键词： HEVC H.264 transcoding Region feature Coding bits Motion vector

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