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We investigated two methods to improve the performance of high-density discrete hidden Markov model (HDDHMM). HDDHMM employs discrete densities with a very large codebook consisting of thousands to tens of thousands of vector quantization (VQ) codewords which are constructed as the product of per-dimension scalar quantization (SQ) codewords. Although the subsequent HDDHMM is fast in decoding, it is...
This paper presents a model-based transrating (bit-rate reduction) system for H.264 coded video via requantization. In works related to previous standards, optimal requantization step sizes were obtained via Lagrangian optimization that minimizes the distortion subject to a rate constraint. Due to H.264 advanced coding features, the choices of quantization step size and coding modes are dependent...
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