Context-Adaptive Inverse Quantization for Inter-Frame Coding

In the hybrid video coding framework, quantization is the key technique to achieve lossy compression. The information loss caused by the quantization may be reduced to improve compression efficiency, by using either encoder-side rate-distortion optimized quantization or decoder-side filtering. Nonet...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Kang Liu, Dong Liu, Li Li, Houqiang Li
Formato:	article
Lenguaje:	EN
Publicado:	IEEE 2021
Materias:	Context-adaptive correlation analysis inter-frame coding inverse quantization transform coefficients Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
Acceso en línea:	https://doaj.org/article/c24b478978c74b9bb292d15199b9408e
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:c24b478978c74b9bb292d15199b9408e
record_format	dspace
spelling	oai:doaj.org-article:c24b478978c74b9bb292d15199b9408e2021-11-23T00:02:23ZContext-Adaptive Inverse Quantization for Inter-Frame Coding2644-122510.1109/OJCAS.2021.3125730https://doaj.org/article/c24b478978c74b9bb292d15199b9408e2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9623349/https://doaj.org/toc/2644-1225In the hybrid video coding framework, quantization is the key technique to achieve lossy compression. The information loss caused by the quantization may be reduced to improve compression efficiency, by using either encoder-side rate-distortion optimized quantization or decoder-side filtering. Nonetheless, the existing studies did not extensively use the already encoded information, i.e., context, to reduce the quantization loss. We address this issue and propose a context-adaptive inverse quantization method, namely, CAIQ. Specifically, for inter-frame coding, we analyze the correlation between the prediction signal (generated by motion compensated prediction) and the residual signal, as well as the correlation within the residual signal itself. We then present linear as well as nonlinear yet lightweight models to exploit the observed correlations in the frequency domain. Our models provide an optional inverse quantization mode by referring to the prediction signal, which is available at the decoder side. Next, block-level mode selection regarding the CAIQ method is used at the encoder side. We integrate the proposed CAIQ method into the reference software of Versatile Video Coding. We perform an extensive study of the models and analyze their resulting compression efficiency gain and encoding/decoding complexity. Experimental results show that our CAIQ method improves compression performance especially for high-resolution videos and at high bit rates.Kang LiuDong LiuLi LiHouqiang LiIEEEarticleContext-adaptivecorrelation analysisinter-frame codinginverse quantizationtransform coefficientsElectric apparatus and materials. Electric circuits. Electric networksTK452-454.4ENIEEE Open Journal of Circuits and Systems, Vol 2, Pp 660-674 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Context-adaptive correlation analysis inter-frame coding inverse quantization transform coefficients Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
spellingShingle	Context-adaptive correlation analysis inter-frame coding inverse quantization transform coefficients Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4 Kang Liu Dong Liu Li Li Houqiang Li Context-Adaptive Inverse Quantization for Inter-Frame Coding
description	In the hybrid video coding framework, quantization is the key technique to achieve lossy compression. The information loss caused by the quantization may be reduced to improve compression efficiency, by using either encoder-side rate-distortion optimized quantization or decoder-side filtering. Nonetheless, the existing studies did not extensively use the already encoded information, i.e., context, to reduce the quantization loss. We address this issue and propose a context-adaptive inverse quantization method, namely, CAIQ. Specifically, for inter-frame coding, we analyze the correlation between the prediction signal (generated by motion compensated prediction) and the residual signal, as well as the correlation within the residual signal itself. We then present linear as well as nonlinear yet lightweight models to exploit the observed correlations in the frequency domain. Our models provide an optional inverse quantization mode by referring to the prediction signal, which is available at the decoder side. Next, block-level mode selection regarding the CAIQ method is used at the encoder side. We integrate the proposed CAIQ method into the reference software of Versatile Video Coding. We perform an extensive study of the models and analyze their resulting compression efficiency gain and encoding/decoding complexity. Experimental results show that our CAIQ method improves compression performance especially for high-resolution videos and at high bit rates.
format	article
author	Kang Liu Dong Liu Li Li Houqiang Li
author_facet	Kang Liu Dong Liu Li Li Houqiang Li
author_sort	Kang Liu
title	Context-Adaptive Inverse Quantization for Inter-Frame Coding
title_short	Context-Adaptive Inverse Quantization for Inter-Frame Coding
title_full	Context-Adaptive Inverse Quantization for Inter-Frame Coding
title_fullStr	Context-Adaptive Inverse Quantization for Inter-Frame Coding
title_full_unstemmed	Context-Adaptive Inverse Quantization for Inter-Frame Coding
title_sort	context-adaptive inverse quantization for inter-frame coding
publisher	IEEE
publishDate	2021
url	https://doaj.org/article/c24b478978c74b9bb292d15199b9408e
work_keys_str_mv	AT kangliu contextadaptiveinversequantizationforinterframecoding AT dongliu contextadaptiveinversequantizationforinterframecoding AT lili contextadaptiveinversequantizationforinterframecoding AT houqiangli contextadaptiveinversequantizationforinterframecoding
_version_	1718417401415991296

Context-Adaptive Inverse Quantization for Inter-Frame Coding

Ejemplares similares