Abstract
The rate control is an essential component in video coding to provide a uniform quality under given coding constraints. The source distribution to be quantized cannot be defined as a single model in the video sequence. In this paper, we present a new rate control algorithm based on the Generalized Gaussian R-D model. Through considering a relation between adjacent frames or macroblocks, we determine model parameters, and perform a rate control on the H.264/AVC video codec. As shown in experimental results, the proposed algorithm provides an improved quality of the reconstructed picture after encoding. In addition, our scheme generates the number of bits close to the target bitrate.
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Kim, S., Kim, TJ., Lee, SB., Suh, JW. (2006). A Rate Control Using Adaptive Model-Based Quantization. In: Chang, LW., Lie, WN. (eds) Advances in Image and Video Technology. PSIVT 2006. Lecture Notes in Computer Science, vol 4319. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11949534_72
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DOI: https://doi.org/10.1007/11949534_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68297-4
Online ISBN: 978-3-540-68298-1
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