• Title, Summary, Keyword: Transcoding

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Load Distribution Method based on Transcoding Time Estimation on Distributed Transcoding Environments (분산 트랜스코딩 환경에서 트랜스코딩 시간 예측 기반 부하 분산 기법)

  • Kim, Jong-Woo;Seo, Dong-Mahn;Jung, In-Bum
    • Journal of KIISE:Computer Systems and Theory
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    • v.37 no.4
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    • pp.195-204
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    • 2010
  • Due to improved wireless communication technologies, it is possible to provide multimedia streaming service for mobile device clients like PDAs and cellphones. Wireless networks are serviced on low bandwidth channels and mobile devices work on limited hardware specifications. In these conditions, transcoding technologies are needed to adapt the media for streaming services to given mobile environments. To transcode from the source media to the target media for corresponding grades, transcoding servers perform transcoding jobs as exhausting their resources. Since various transcoding loads occur according to the target transconding grades, an effective transcoding load balancing policy is required among transcoding servers. In addition to transcoding process, servers should maintain QoS streams for mobile clients for total serviced times. It requires real-time requirements to support QoS for various mobile clients. In this paper, a new transcoding load distribution method is proposed. The proposed method can be driven for fair load balance between distributed transcoding servers. Based on estimated transcoding time, movie information and target transcoding bit-rate, it provides fair transcoding load distribution and also performs admission control to support QoS streams for mobile clients.

Transcoding Load Estimation Method for Load Balance on Distributed Transcoding Environments (분산 트랜스코딩 환경에서 부하 균형을 위한 트랜스코딩 부하 예측 기법)

  • Seo, Dong-Mahn;Heo, Nan-Sok;Kim, Jong-Woo;Jung, In-Bum
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.9_10
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    • pp.466-475
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    • 2008
  • Owing to the improved wireless communication technologies, it is possible to provide streaming service of multimedia with PDAs and mobile phones in addition to desktop PCs. Since mobile client devices have low computing power and low network bandwidth due to wireless network, the transcoding technology to adapt media for mobile client devices considering their characteristics is necessary. Transcoding servers transcode the source media to the target media within corresponding grades and provide QoS in real-time. In particular, an effective load balancing policy for transcoding servers is inevitable to support QoS for large scale mobile users. In this paper, the transcoding load estimation algorithm is proposed for load balance on the distributed transcoding environments. The proposed algorithm estimates transcoding time from transcoding server information, movie information and target transcoding bit-rate. The estimated transcoding time is proved based on experiments.

A Degraded Quality Service Policy for reducing the transcoding loads in a Transcoding Proxy (트랜스코딩 프록시에서 트랜스코딩 부하를 줄이기 위한 낮은 품질 서비스 정책)

  • Park, Yoo-Hyun
    • The KIPS Transactions:PartA
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    • v.16A no.3
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    • pp.181-188
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    • 2009
  • Transcoding is one of core techniques that implement VoD services according to QoS. But it consumes a lot of CPU resource. A transcoding proxy transcodes multimedia objects to meet requirements of various mobile devices and caches them to reuse later. In this paper, we propose a service policy that reduces the load of transcoding multimedia objects by degrading QoS in a transcoding proxy. Due to the tradeoff between QoS and the load of a proxy system, a transcoding proxy provides lower QoS than a client's requirement so that it can accomodate more clients.

The Study of Video Transcoding and Streaming System Based on Prediction Period

  • Park, Seong-Ho;Kim, Sung-Min;Lee, Hwa-Sei
    • Journal of information and communication convergence engineering
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    • v.5 no.4
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    • pp.339-345
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    • 2007
  • Video transcoding is a technique used to convert a compressed input video stream with an arbitrary format, size, and bitrate into a different attribute video stream different attributes to provide a efficient video streaming service for the customers is dispersed in the heterogeneous networks. Specifically, frames deletion occur in a transcoding scheme that exploits the adjustment of frame rate, and at this time, the loss in temporal relation among frames due to frame deletion is compensated for the prediction of motion estimation by reusing motion vectors in the would-be deleted frames. But the processing time for transcoding don't have an improvement as much as our expectation because transcoding is done only within the transcoder. So in this paper, we propose a new transcoding algorithm based on prediction period to improve transcoding-related processing time. For this, we also modify the existing encoder so as to adjust dynamically frame rate based on the prediction period and deletion period of frames. To check how the proposed algorithm works nicely, we implement a video streaming system with the new transcoder and encoder to which it is applied. The result of the performance test shows that the streaming system with proposed algorithm improve 60% above in processing time and also PSNR have a good performance while the quality of pictures is preserved.

Meta-trailed Caching for Transcoding Proxies (트랜스코딩 프록시를 위한 메타데이터 추가 캐슁)

  • Kang, Jai-Woong;Choi, Chang-Yeol
    • Journal of Industrial Technology
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    • v.27 no.B
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    • pp.185-192
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    • 2007
  • Transcoding video proxy is necessary to support various bandwidth requirements for mobile multimedia and to provide adapting video streams to mobile clients. Caching algorithms for proxy are to reduce the network traffic between the content servers and the proxy. This paper proposes a Meta-tailed caching for transcoding proxy that is efficient to lower network load and CPU load. Caching of two different data types - transcoded video, and metadata - provides a foundation to achieve superior balance between network resource and computation resource at transcoding proxies. Experimental results show that the Meta-tailed caching lowers at least 10% of CPU-load and at least 9% of network-load at a transcoding proxy.

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A Hadoop-based Multimedia Transcoding System for Processing Social Media in the PaaS Platform of SMCCSE

  • Kim, Myoungjin;Han, Seungho;Cui, Yun;Lee, Hanku;Jeong, Changsung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.11
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    • pp.2827-2848
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    • 2012
  • Previously, we described a social media cloud computing service environment (SMCCSE). This SMCCSE supports the development of social networking services (SNSs) that include audio, image, and video formats. A social media cloud computing PaaS platform, a core component in a SMCCSE, processes large amounts of social media in a parallel and distributed manner for supporting a reliable SNS. Here, we propose a Hadoop-based multimedia system for image and video transcoding processing, necessary functions of our PaaS platform. Our system consists of two modules, including an image transcoding module and a video transcoding module. We also design and implement the system by using a MapReduce framework running on a Hadoop Distributed File System (HDFS) and the media processing libraries Xuggler and JAI. In this way, our system exponentially reduces the encoding time for transcoding large amounts of image and video files into specific formats depending on user-requested options (such as resolution, bit rate, and frame rate). In order to evaluate system performance, we measure the total image and video transcoding time for image and video data sets, respectively, under various experimental conditions. In addition, we compare the video transcoding performance of our cloud-based approach with that of the traditional frame-level parallel processing-based approach. Based on experiments performed on a 28-node cluster, the proposed Hadoop-based multimedia transcoding system delivers excellent speed and quality.

A Dual Transcoding Method for Retaining QoS of Video Streaming Services under Restricted Computing Resources (동영상 스트리밍 서비스의 QoS유지를 위한 듀얼 트랜스코딩 기법)

  • Oh, Doohwan;Ro, Won Woo
    • KIPS Transactions on Computer and Communication Systems
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    • v.3 no.7
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    • pp.231-240
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    • 2014
  • Video transcoding techniques provide an efficient mechanism to make a video content adaptive to the capabilities of a variety of clients. However, it is hard to provide an appropriate quality-of-service(QoS) to the clients owing to heavy workload on transcoding operations. In light of this fact, this paper presents the dual transcoding method in order to guarantee QoS in streaming services by maximizing resource usage in a transcoding server equipped with both CPU and GPU computing units. The CPU and GPU computing units have different architectural features. The proposed method speculates workload of incoming transcoding requests and then schedules the requests either to the CPU or GPU accordingly. From performance evaluation, the proposed dual transcoding method achieved a speedup of 1.84 compared with traditional transcoding approach.

Tandemless Transcoding for AMR and EVRC Speech Coders (AMR과 EVRC 음성 부호화기간의 비탠덤 방식을 이용한 상호 부호화)

  • 이선일;유창동
    • The Journal of the Acoustical Society of Korea
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    • v.21 no.6
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    • pp.531-542
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    • 2002
  • Novel tandemless transcoding method for AMR and EVRC speech coders is proposed in this paper. In contrast to conventional tandem method, the parameters which is used commonly in speech coder where CELP algorithm is adapted are directly transcoded. The proposed algorithm is composed of LSP transcoding, pitch delay transcoding, gains transcoding and fixed codebook vector transcoding Evaluation results show that the novel algorithm achieves better speech quality than tandem method and reduce computational complexity and delay.

Fuzzy Relevance-based Transcoding for Differentiated Streaming Media Service in the Proxy System (프록시 시스템에서 차별화된 스트리밍 미디어 서비스를 위한 퍼지 적합도 기반 트랜스 코딩)

  • Lee, Chong-Deuk
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.6
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    • pp.2785-2792
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    • 2011
  • Such problems as delay, congestion, and crosstalk in the proxy system degrade not only QoS (Quality of Service) but responsiveness and reliability of the streaming media service. To solve this problem this paper proposed a FRTP (Fuzzy Relevance-based Transcoding Proxy) mechanism. The proposed FRTP mechanism analyzes fuzzy similarity for partitioned segment versions of media objects to create a FRTG (Fuzzy Relevance-based Transcoding Graph). Created FRTG determines the transcoding for partitioned media object segment versions. Determined transcoding improves DSR (Delay Saving Ratios), CHPR (Cache Hit Precision Ratio), and CHRR (Cache Hit Recall Ratio). The proposed mechanism is simulated to evaluate such performance parameters as DSR, CHPR, and CHRR. Simulation results shows that the proposed mechanism outperforms in DSR, CHPR and CHRR compared with the other existing mechanisms.

A Study on the Distributed Transcoding System using Secret Sharing Techniques (비밀분산기법을 이용한 분산 트랜스코딩 시스템 연구)

  • Song, You-Jin;Gu, Seokmo;Kim, Yei-Chang
    • Journal of Digital Convergence
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    • v.12 no.11
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    • pp.233-239
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    • 2014
  • Ultra high-resolution content, the file size is very large, therefore existing encoding techniques, it is not possible to transmit via the network. Efficient use of the network encoder HEVC corporation can be transferred. Compression requires a lot of time because it requires a distributed transcoding system. Distributed transcoding system is a distributed data store, and then encoded using a large number of nodes. The disadvantage of distributed transcoding system for distributed information is exposed or vulnerable to attack by internal managers. In this paper, when the super high definition content transcoding, distributed transcoding system does not guarantee the confidentiality of the problem to solve. We are using SNA, HEVC encoded content data encrypted using the secret distributing scheme was. Consequently, secure shared transcoding is possible, the internal administrator could prevent the attack.