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30th IEEE Conference on Visual Communications and Image Processing (VCIP)

作者： Zhang, Dongdong Tong, Jie Zang, Di Tongji Univ Dept Comp Sci Minist Educ Key Lab Embedded Syst & Serv Comp Shanghai Peoples R China

ISBN: (纸本)9781509053162

In this paper, a fast CU partition algorithm for H.264 to HEVC transcoding based on Fisher Discriminant Analysis is proposed. Using the classification model built with the extracted features from H.264 bitstream, the CU splitting of depth 0 and 1 can be directly determined without rate distortion optimization process, and a simple mode mapping method is used to determine CU splitting in depth 2. To ensure the accuracy of classification model, an online learning strategy is designed to update the model thresholds and weight vectors in time. The experimental results show that the proposed algorithm obtains a speed-up to 1.90x on average with 2.75% BD-rate loss under the low-delay P configuration.

关键词： HEVC transcoding CU Partition Fisher Discriminant Analysis Online Learning

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Efficient Software H.264/AVC to HEVC transcoding on Distributed Multicore Processors

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IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 2015年第8期25卷 1423-1434页

作者： Chen, Yucong Wen, Ziyu Wen, Jiangtao Tang, Minhao Tao, Pin Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China Tsinghua Univ Beijing 100084 Peoples R China

The latest High Efficiency Video Coding (HEVC) standard achieves a significant compression efficiency improvement over the H.264/Advanced Video Coding (AVC) standard, but with a much higher computational complexity. In this paper, we propose a novel framework for software-based H.264/AVC to HEVC transcoding, integrated with tools such as wavefront parallel processing that are useful for achieving higher levels of parallelism on multicore processors and distributed systems. By utilizing information extracted from the input H.264/AVC bitstream, the transcoding process can be greatly accelerated with a visual quality loss that is modest for many applications. Based on the HEVC HM 14.0 reference software and using standard HEVC test bitstreams, the proposed transcoder can achieve up to 60x speedup on a Quad Core 8-thread server over decoding-re-encoding based on FFMPEG and the HM software with a BD-rate loss of 15%-20%. By implementing a group of picture-level task distribution on a distributed system with nine processing units, the proposed software transcoder can achieve a speed for transcoding 720 p at 30 Hz in real time.

关键词： H.264/Advanced Video Coding (AVC) High Efficiency Video Coding (HEVC) mode decision transcoding wavefront parallel processing (WPP)

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Efficient arbitrary ratio downscale transcoding for HEVC

Efficient arbitrary ratio downscale transcoding for HEVC

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IEEE Visual Communications and Image Processing (VCIP)

作者： Zhenan Lin Qi Zhang Keji Chen Jun Sun Zongming Guo Institute of Computer Science and Technology Peking University Beijing China Cooperative Medianet Innovation Center Shanghai China

ISBN: (纸本)9781509053179

The arbitrary ratio transcoding usually introduces coding block grid misalignment, which results in difficulties to utilize the decoding information in coding blocks of source videos during the encoding phase. To reduce the large computation load of HEVC downscale transcoding in such situation, we propose an efficient transcoding method that we refer the decoded coding unit (CU) partitioning to accelerate partition decision, which takes up the most complexity in the encoding phase as well as the whole transcoding. First, we predict CU depth in pixel level according to decoded partitioning of source videos. Then, we propose adaptive rules to determine CU partitioning of target videos based on the prediction, so that we can make early CU splitting or pruning decision without complex recursive search. Experiments demonstrate that the proposed method achieves about 74% time reduction on average with acceptable BD-rate increase in the encoding phase compared to the encoder in reference software HM13.0.

关键词： Videos transcoding Decoding Acceleration Complexity theory Training

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The transcoding Theory of Interpretive Approach Based on Pédagogie Raisonnée de L'interprétation

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海外英语 2017年第5期

作者：张颖

According to the Interpretive Approach, interpreting is understaning the sense of original language and reproducing the sense in another language. The target of interpreting is sense, rather than words or sentences;and process is transcoding, combin-ing decoding and recoding together. Thus there are two types of triangle system in interpreting:source language, sense, plus target language;and the speaker, interpreter plus listener. The following passage is an analysis of the feasibility and convenience of the transcoding theory and also its application in interpreting.

关键词： translation interpreting Interpretive Approach transcoding theory triangle system

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FAST VIDEO ENHANCEMENT transcoding

FAST VIDEO ENHANCEMENT TRANSCODING

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IEEE International Conference on Image Processing

作者： Kefan Shen Zhongyuan Wang Zhen Han NERCMS Computer School Wuhan University

ISBN: (纸本)9781467399623

In this paper, we pose a new problem of video enhancement transcoding, which converts the compressed dark video into compressed normal-lighting one. Distinct statistics of dark and normal videos result in quite different coding modes, which thus enforces latent constraints on mode conversion during transcoding. Following this idea, we propose a fast mode decision algorithm to speed up computation while maintaining rate-distortion (RD) performance. Experimental results show that our method saves the computational complexity nearly 70%, without noticeable RD loss in comparison with the cascaded decoder-encoder approach.

关键词： transcoding Mode mapping Video enhancement Fast mode decision transcoding Videotapes coding mode REMEDIAL DESIGN

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Distributed video transcoding on a heterogeneous computing platform

Distributed video transcoding on a heterogeneous computing p...

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IEEE Asia-Pacific Conference on Circuits and Systems

作者： Zhi Hao Chang Bih Fei Jong Wei Jing Wong M. L. Dennis Wong Faculty of Engineering Computing and Science Swinburne University of Technology Kuching Malaysia

ISBN: (纸本)9781509015719

The requirement for real-time video transcoding systems has significantly increased due to the easy and widely available access to high resolution video streams and large-scale applications in recent years. In this paper, we propose a real-time distributed video transcoding system working on heterogeneous environment to tackle the high requirement of such applications. It allows multiple computers to be networked together to execute the same transcoding task so that the system can process more video streams in real time. Most importantly, the proposed method emphasizes on the velocity of the video data which involves the continuous input video stream and outcomes of transcoded video output stream that is accessible on-the-fly in contrast to the batch-oriented approach such as the MapReduce framework, where output latency can be significant. The performance of the proposed system can be further improved by using a more intelligent scheduler for video frames distribution.

关键词： Streaming media transcoding Real-time systems Graphics processing units Computers Storms

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Utilizing Massive Viewers for Video transcoding in Crowdsourced Live Streaming

Utilizing Massive Viewers for Video Transcoding in Crowdsour...

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IEEE International Conference on Cloud Computing, CLOUD

作者： Qiyun He Cong Zhang Jiangchuan Liu School of Computing Science Simon Fraser University BC Canada

Driven by the advances in personal computing devices and the prevalence of broadband network and wireless mobile network accesses, Crowdsourced Live Streaming (CLS) platforms have emerged in recent years, through which numerous broadcasters lively stream their video content, e.g., live events or online game scenes, to fellow viewers. Compared to professional video producers and broadcasters, these new generation broadcasters are highly heterogenous in terms of the network/system configurations and therefore the generated video quality, which calls for massive encoding and transcoding in order to unify the video sources and serve multiple quality versions to viewers with different configurations. On the other hand, with the rapid evolution in the hardware industry, high performance processors (e.g., Intel Core i7-4790K CPU) become mainstream in personal computer market. More end devices can easily transcode high quality videos in realtime. We witness huge computational resource among the massive fellow viewers that could potentially be used for transcoding. In this paper, inspired by fog computing, we propose Crowd-transcoding, a novel framework for CLS systems that offloads the transcoding assignment to the massive viewers. We identify that the key challenges in Crowdtranscoding are to detect qualified stable viewers and to properly assign them to the source channels. We put forward Viewer Crowdsourcing Transcode Scheduler (VCTS) to smartly schedule the workload assignment. Our solution has been evaluated under diverse viewer/channel conditions as well as different parameter settings. The trace-driven simulation confirms the superiority of CrowdTranscoder, while our PlanetLab-based and real world end-viewer experiments show the practical performance of our approach, which also give hint to the further enhancement.

关键词： Streaming media transcoding TV Cloud computing Games YouTube Bandwidth

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Resource provisioning and profit maximization for transcoding in Information Centric Networking

Resource provisioning and profit maximization for transcodin...

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IEEE Conference on Computer Communications Workshops, INFOCOM Wksps

作者： Guanyu Gao Yonggang Wen Cedric Westphal School of Computer Engineering Nanyang Technological University Huawei Innovation Center University of California Santa Cruz

ISBN: (纸本)9781467399562

Adaptive bitrate streaming (ABR) has been widely adopted to support video streaming services over heterogeneous devices and varying network conditions. With ABR, each video content is transcoded into multiple representations in different bitrates and resolutions. However, video transcoding is computing intensive, which requires the transcoding service providers to deploy a large number of servers for transcoding the video contents published by the content producers. As such, a natural question for the transcoding service provider is how to provision the computing resource for transcoding the video contents while maximizing service profit. To address this problem, we design a cloud video transcoding system by taking the advantage of cloud computing technology to elastically allocate computing resource. We propose a method for jointly considering the task scheduling and resource provisioning problem in two timescales, and formulate the service profit maximization as a two-timescale stochastic optimization problem. We derive some approximate policies for the task scheduling and resource provisioning. Based on our proposed methods, we implement our open source cloud video transcoding system Morph and evaluate its performance in a real environment. The experiment results demonstrate that our proposed method can reduce the resource consumption and achieve a higher profit compared with the baseline schemes.

关键词： transcoding Streaming media Cloud computing Bit rate Processor scheduling Servers Neural networks

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Enabling agile video transcoding over SDN/NFV-enabled networks

Enabling agile video transcoding over SDN/NFV-enabled networ...

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International Conference on Telecommunications and Multimedia (TEMU)

作者： Harilaos Koumaras Christos Sakkas Michail Alexandros Kourtis Christos Xilouris Vaios Koumaras Georgios Gardikis NCSR “Demokritos” Institute of Informatics and Telecommunications Athens Greece R&D Department Space Hellas S.A. Athens Greece

ISBN: (纸本)9781467384100

Software Defined Networking (SDN) and Network Function Virtualization (NFV) provide an appealing 5G vision of how content distribution networks can be enhanced with in-service transcoding and adaptation processes. This paper describes a proof-of-concept experimental implementation of SDN/NFV-enabled network domain towards providing an agile video transcoding process for maintaining the QoE level of a media service when network congestion occurs. The paper shows how SDN/NFV techniques are facilitating the dynamic deployment of a transcoder VNF upon a triggering event of a congested bottleneck at the access link of the end-user. Video quality measurements demonstrate the efficiency of the VNF deployment and the seamless applicability of the transcoding process without experiencing any service interruption.

关键词： Streaming media Real-time systems transcoding Media Cloud computing Telecommunications Multimedia communication

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Fast Inter Mode Decision Algorithm Based on Mode Mapping and Decision Tree for P Frames in MPEG-2 to H.264/AVC transcoding

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JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY 2015年第1期79卷 33-43页

作者： Wang, Ping Zhang, Xiaodan Huang, Hua Xi An Jiao Tong Univ Sch Elect & Informat Engn Dept Informat & Commun Engn Xian 710049 Peoples R China Beijing Inst Technol Sch Comp Sci Beijing Key Lab Intelligent Informat Technol Beijing 100081 Peoples R China

There is an inevitable requirement of transcoding from MPEG-2 to H.264/AVC in many video applications. Due to the use of variable block sizes and rate-distortion optimization techniques in H.264, there is extremely high computational complexity in the reference cascaded transcoder. To reduce the complexity, this paper presents a fast inter mode decision algorithm for P frames in MPEG-2 to H.264/AVC transcoding. Firstly, with the statistical analysis of the correlation between the MB's coding mode in MPEG-2 and the corresponding mode in H.264/AVC, the proposed algorithm directly determines the candidate modes for some special MBs based on the mode mapping rules. Then for other MBs, machine learning tools are used to exploit the correlation between the residual MB information in MPEG-2 and the coding mode in H.264/AVC, and the decision tree is derived to determine the candidate modes. The proposed algorithm efficiently reduces the number of candidate modes in H.264/AVC encoder. Experimental results show that the proposed algorithm can achieve 60 % of transcoding time saving on average with the less PSNR degradation and bitrate increase, comparing with the reference cascaded transcoder.

关键词： transcoding MPEG-2 H.264/AVC Mode decision Mode mapping Decision tree

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