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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/62897

    Title: 雲端系統的視訊處理與服務-子計畫一:雲端系統中低複雜度之高效率視訊編碼及其轉碼技術研究;Low Complexity Coding Techniques for Hevc and Its Transcoding in Cloud Systems
    Authors: 張寶基
    Contributors: 國立中央大學通訊工程系
    Keywords: 電信工程;資訊科學;軟體
    Date: 2012-12-01
    Issue Date: 2014-03-17 14:09:46 (UTC+8)
    Publisher: 行政院國家科學委員會
    Abstract: 研究期間:10108~10207;Video applications have become one of the most important parts in multimedia communications. Videos with high quality and high resolution are getting more and more popular. To meet this demand, the international video standardization group JCT-VC started to work on the next generation video compression standard, namely as High Efficiency Video Coding (HEVC), in 2010, and the new standard is expected to be finalized in 2013. HEVC is targeted to provide more than twice the compression efficiency of H.264/AVC with the same video quality. Besides the rapid development of video coding, the concept of cloud computing draws increasing attention over the world. The integration of resources through cloud systems to carry out more extensive works is inevitable in the future. HEVC is very likely to become the most widely used video compression standard after it is finalized. We can store videos more efficiently and consume less network bandwidth if we can transcode H.264/AVC videos into HEVC format. To efficiently provide video services to users in different environments, the idea of developing the scalable extension of HEVC is also proposed in standard meetings. However, compared with H.264/AVC, the adoption of much more advanced coding techniques in HEVC leads to significant complexity increase in its encoding, transcoding, as well as scalable video coding. Although cloud systems provide the users a huge amount of computational resources, we still have to pay attention to power savings in the era of green communications. This project aims to develop the low complexity coding techniques for HEVC encoding, transcoding, and scalable video coding in three years. The proposed algorithms not only reduce the power consumption but also increase the capacity to serve more users in cloud systems.
    Relation: 財團法人國家實驗研究院科技政策研究與資訊中心
    Appears in Collections:[通訊工程學系] 研究計畫

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