Complexity-rate-distortion evaluation of video encoding for cloud media computing

Ming Yang, Jianfei Cai, Yonggang Wen, Chuan Heng Foh

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

4 Citations (Scopus)


Cloud computing provides a promising solution to cope with the increased complexity in new video compression standards and the increased data volume in video source. It not only saves the cost of too frequent equipment upgrading but also gives individual users the flexibilities to choose the amount of computing according to their needs. To facilitate cloud computing for real-time video encoding, in this paper we evaluate the amount of computing resource needed for H.264 and H.264 SVC encoding. We focus on evaluating the complexity-rate- distortion (C-R-D) relationship with a fixed encoding process but under different external configuration parameters. We believe such an empirical study is meaningful for eventually realizing real-time video encoding in an optimal way in a cloud environment.

Original languageEnglish
Title of host publicationICON 2011 - 17th IEEE International Conference on Networks
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages5
ISBN (Print)9781457718250
Publication statusPublished - 2011
Externally publishedYes
Event17th IEEE International Conference on Networks, ICON 2011 - Singapore, Singapore
Duration: 14 Dec 201116 Dec 2011


Conference17th IEEE International Conference on Networks, ICON 2011

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