Probabilistic Approach for Predicting the Size of Coding Units in the Quad-Tree Structure of the Quality and Spatial Scalable HEVC

The scalable extension of HEVC (known as SHVC), the recent scalable video coding standard, results in an improved compression performance at the cost of significant increase in computational coding complexity. One of the main factors that contribute to the SHVC encoder complexity is choosing the bes...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2016-02, Vol.18 (2), p.182-195
Main Authors: Tohidypour, Hamid Reza, Pourazad, Mahsa T., Nasiopoulos, Panos
Format: Article
Language:English
Subjects:
Bayes methods
Bayesian classifier
Coders
Coding
Coding standards
coding tree unit structure
Complexity
Complexity theory
Compressing
Encoders
Encoding
low complexity compression
Multimedia
Partitioning
quality scalable HEVC
Scalability
spatial scalable HEVC
Static VAr compensators
Video coding
Video compression
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Summary:The scalable extension of HEVC (known as SHVC), the recent scalable video coding standard, results in an improved compression performance at the cost of significant increase in computational coding complexity. One of the main factors that contribute to the SHVC encoder complexity is choosing the best partitioning structure for the coding tree units (CTUs). Our study focuses on developing a scheme for predicting the CTU structure in the quality and spatial scalable extension of HEVC. The proposed scheme uses the CTU partitioning structure of the already encoded CTUs in the enhancement layers (ELs) and base layer (BL) to predict the coding unit sizes of the to-be-encoded CTUs in the EL. Performance evaluations confirm that our proposed complexity reduction scheme significantly reduces the execution time of the SHVC encoder, while maintaining the overall quality of the coded streams.
ISSN:1520-9210
1941-0077
DOI:10.1109/TMM.2015.2510332