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Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting

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Intelligent Video Event Analysis and Understanding

Part of the book series: Studies in Computational Intelligence ((SCI,volume 332))

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Abstract

The basic aim of this book chapter is to provide a survey on BBC Dirac Video Codec. That survey, would not only provide the in depth description of different version of Dirac Video Codec but would also explain the algorithmic explanation of Dirac at implementation level. This chapter would not only provide help to new researchers who are working to understand BBC Dirac video codec but also provide them future directions and ideas to enhance features of BBC Dirac video codec.

Compression is significantly important because of being bandwidth limited or expensive for widespread use of multimedia contents over the internet. Compression takes the advantage in limitation of human perception due to which it is not able to process all the information of perfectly reproduced pictures. We can compress the pictures without the loss of perceived picture quality. Compression is used to exploit the limited storage and transmission capacity as efficiently as possible.

The need of efficient codec’s has gained significant attraction amongst researchers. The applications of codec’s range from compressing high resolution files, broadcasting, live video streaming, pod casting, and desktop production. Depending on the type of application, the requirements of the codec’s change.

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Ali, A., Khan, N.A., Masud, S., Ali, S.F. (2011). Survey of Dirac: A Wavelet Based Video Codec for Multiparty Video Conferencing and Broadcasting. In: Zhang, J., Shao, L., Zhang, L., Jones, G.A. (eds) Intelligent Video Event Analysis and Understanding. Studies in Computational Intelligence, vol 332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17554-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-17554-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17553-4

  • Online ISBN: 978-3-642-17554-1

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