Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding

In this paper, we propose a cascaded sparse/DCT (S/DCT) two-layer representation of prediction residuals, and implement this idea on top of the state-of-the-art high efficiency video coding (HEVC) standard. First, a dictionary is adaptively trained to contain featured patterns of residual signals so...

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Bibliographic Details
Published in:IEEE transactions on image processing Vol. 22; no. 7; pp. 2711 - 2722
Main Authors: Kang, Je-Won, Gabbouj, Moncef, Kuo, C.-C. Jay
Format: Journal Article
Language:English
Published: New York, NY IEEE 01.07.2013
Institute of Electrical and Electronics Engineers
Subjects:
Applied sciences
Approximation algorithms
Bit rate
Codecs
Coding, codes
Detection, estimation, filtering, equalization, prediction
Dictionaries
discrete cosine transform (DCT)
Discrete cosine transforms
Exact sciences and technology
High efficiency video coding
high efficiency video coding (HEVC)
Image coding
Image processing
Information, signal and communications theory
multilayered coding
overcomplete dictionary based video coding
residual coding
rho domain rate model
Signal and communications theory
Signal processing
Signal, noise
Sparse approximation
sparse representation
Telecommunications and information theory
Transforms
Video coding
Performance evaluation
Overcomplete dictionary
State of the art
overcomplete dictionary based video coding
Information rate
Adaptive method
discrete cosine transform (DCT)
Implementation
Research and development
Video signal processing
Learning
Codec
Sparse representation
Discrete cosine transforms
multilayered coding
residual coding
Multiple layer
high efficiency video coding (HEVC)
Algorithm
Information transmission
Residual impurity
Signal processing
ρ domain rate model
Cascade connection
ISSN:1057-7149, 1941-0042, 1941-0042
Online Access:Get full text
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Summary:In this paper, we propose a cascaded sparse/DCT (S/DCT) two-layer representation of prediction residuals, and implement this idea on top of the state-of-the-art high efficiency video coding (HEVC) standard. First, a dictionary is adaptively trained to contain featured patterns of residual signals so that a high portion of energy in a structured residual can be efficiently coded via sparse coding. It is observed that the sparse representation alone is less effective in the R-D performance due to the side information overhead at higher bit rates. To overcome this problem, the DCT representation is cascaded at the second stage. It is applied to the remaining signal to improve coding efficiency. The two representations successfully complement each other. It is demonstrated by experimental results that the proposed algorithm outperforms the HEVC reference codec HM5.0 in the Common Test Condition.
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ISSN:1057-7149
1941-0042
1941-0042
DOI:10.1109/TIP.2013.2256917