A kernel-based statistical analysis of the residual error in video coding

Santiago De-Luxan-Hernandez; Detlev Marpe; Klaus Muller; Thomas Wiegand

doi:10.1109/IWSSIP.2015.7314209

A kernel-based statistical analysis of the residual error in video coding

Santiago De-Luxan-Hernandez, Detlev Marpe, Klaus Muller, Thomas Wiegand

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Video compression techniques exploit the statistical redundancy present in video signals to efficiently reduce the amount of information sent to the decoder. We contribute with a kernel-based analysis of the residual error blocks. In particular, we borrow dimension reduction techniques from machine learning, namely Principal Component Analysis (PCA) and nonlinear Kernel Principal Component Analysis (KPCA), to assess the spatial structure of block residuals. Interestingly, a nonlinear structure is observed that correlates to the rate-distortion costs of the blocks. Simulations by using a test set of videos with cropped Ultra High Definition (UHD) resolution show interesting results.

Original language	English
Title of host publication	2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	192-195
Number of pages	4
ISBN (Print)	9781467383530
DOIs	https://doi.org/10.1109/IWSSIP.2015.7314209
Publication status	Published - 2015 Oct 30
Externally published	Yes
Event	22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015 - London, United Kingdom Duration: 2015 Sept 10 → 2015 Sept 12

Other

Other	22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015
Country/Territory	United Kingdom
City	London
Period	15/9/10 → 15/9/12

Keywords

KPCA
PCA
Rate-Distortion Cost
Residual Error Coding

ASJC Scopus subject areas

Computer Networks and Communications
Computer Vision and Pattern Recognition
Signal Processing

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10.1109/IWSSIP.2015.7314209

Cite this

De-Luxan-Hernandez, S., Marpe, D., Muller, K., & Wiegand, T. (2015). A kernel-based statistical analysis of the residual error in video coding. In 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015 (pp. 192-195). [7314209] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWSSIP.2015.7314209

A kernel-based statistical analysis of the residual error in video coding. / De-Luxan-Hernandez, Santiago; Marpe, Detlev; Muller, Klaus et al.

2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 192-195 7314209.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

De-Luxan-Hernandez, S, Marpe, D, Muller, K & Wiegand, T 2015, A kernel-based statistical analysis of the residual error in video coding. in 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015., 7314209, Institute of Electrical and Electronics Engineers Inc., pp. 192-195, 22nd International Conference on Systems, Signals and Image Processing, IWSSIP 2015, London, United Kingdom, 15/9/10. https://doi.org/10.1109/IWSSIP.2015.7314209

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A kernel-based statistical analysis of the residual error in video coding

Abstract

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Keywords

ASJC Scopus subject areas

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