Video and audio coding hard decision quantification method based on context adaptive displacement model
The invention discloses a video and audio coding hard decision quantification method based on a context adaptive displacement model, and the method employs the context adaptive quantification displacement model to achieve a context and code rate threshold value adaption quantification algorithm. The...
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Main Authors | , |
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Format | Patent |
Language | Chinese English |
Published |
17.10.2017
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Subjects | |
Online Access | Get full text |
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Summary: | The invention discloses a video and audio coding hard decision quantification method based on a context adaptive displacement model, and the method employs the context adaptive quantification displacement model to achieve a context and code rate threshold value adaption quantification algorithm. The model introduces the correlation between coefficients through simulating optimal soft decision quantification characteristics, and a new CABAC context adaptive displacement model is proposed on the basis of the hard decision quantification. The model achieves the statistics of actual saving conditions of the code rate, and obtains an optimal threshold value which can be used for distinguishing quantification results through a Bayes binary discrimination method. The dynamic adjustment of the threshold value and the code rate displacement quantity are achieved through the model. The experiment indicates that the context adaptive displacement model based on the invention is suitable for implementation of the configur |
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Bibliography: | Application Number: CN20171273935 |