Cryptography Reference
In-Depth Information
H.264. These techniques and standards have revolutionized the three main in-
dustries including broadcasting, communication and personal computers. This
chapter provides a basic overview of the principle of video coding, with the
focus on the core techniques and various standards. Due to the space limit, a
lot of technical details have to be left out. We also refrain from introducing
complex mathematics, only to the extent that it helps the reader to under-
stand the techniques. However, we hope this chapter could serve as a good
foundation for further study or research work.
Although it is always di cult to try guessing the future, it looks quite
secure to identify a few basic trends for video coding, notably:
• The importance of new video coding tools will become less obvious as
the existing standards have occupied or are occupying the existing and
emerging markets.
• Comparing to the growth of bandwidth and storage capacity, the progress
of video coding is much less impressive now and it will be even so in future.
• The existing generic video coding scheme has almost reached its theoretical
limit.
• A change of paradigm is needed in order to achieve another 50% of bit
savings future coding schemes are believed to be more specialized and
less generic.
• More intelligent image and video analysis tools are needed so that the
coding is customized to nature of the video.
References
1. ITU-R Recommendation (1995): BT-500.7: Methodology for the subjective
assessment of the quality of television pictures. ITU Geneva, Switzerland
2. VQEG (2000): Final report from the video quality expert group on the validation
of objective models of video quality assessment. http://www.vqeg.org/
3. Rao, K.R. and Yip, P. (1990): Discrete cosine transform: algorithms, advantages,
applications. Academic Press, Inc. London
4. Shi, Y.Q. and Sun, H. (2000): Image and video compression for multimedia
engineering: fundamentals, algorithms, and standards. CRC Press
5. Elias P. (1955): Predictive coding, parts i and ii. IRE Trans. Information Theory,
IT-1 ,16
6. Huffman, D.A. (1952): A method for the construction of minimum redundancy
codes. Proceedings of the Institute of Radio Engineers, 40 , 10981101
7. Rissanen J. (1976): Generalized Kraft inequality and arithmetic coding. IBM
Journal of Research and Development, 20 , 198203
8. Chen, W.H. and Pratt, W.K. (1984): Scene adaptive coder. IEEE Trans. on
Communications, 32 , 225232
9. Ahumada Jr., A.J. and Peterson, H. A. (1993) A visual detection model for
DCT coe cient quantization. Computing in Aerospace, 9 , 314318
10. Ribas-Corbera, J. and Lei, S. (1999): Rate control in DCT video coding for
low-delay video communications. IEEE Trans. Circuits Syst. Video Technol., 9 ,
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