UN CO RR EC TE D PR OO F Adaptive Management of Video

نویسنده

  • Yafan Zhao
چکیده

I n this paper, we investigate methods of reducing the computational complexity of the discrete cosine transform (DCT) in a software video encoder. The number of DCT calculations may be reduced by modeling the distribution of zero blocks. We demonstrate that the reduction in computational complexity is variable and depends on the statistics of the video sequence. We propose a new adaptive algorithm that can maintain a near-constant reduction in complexity. The proposed algorithm performs well at converging to a ‘‘target’’ computational complexity, at the expense of a small reduction in image quality. This algorithm provides a flexible mechanism for managing computational complexity in a video encoder.

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This paper presents majorization results for PH-generators. Based on the majorization results, bounds on the moments and Laplace-Stieltjes transforms of phase-type distributions are found. Exponential distributions and Coxian distributions are identified to be extremal PH-distributions with respect to all the moments and Laplace-Stieltjes transforms for certain subsets of PH-distributions. UN C...

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تاریخ انتشار 2002