Employing block-based motion models in scalable video coding based on spatial-domain motion-compensated temporal filtering (SDMCTF) introduces artificial block-boundary discontinuities that adversely affect the video compression performance, particularly at low bit-rates. This paper focuses on the problem of deblocking in the context of SDMCTF-based video coding. One possible solution to this problem is the use of overlapped-block motion com-pensation (OBMC). An alternative solution is applying an adaptive deblocking filter, similar to the one used in H.264. With this respect, a novel adaptive de-blocking filter, tailored to SDMCTF video coding is proposed. In terms of vis-ual-quality, both approaches yield similar performance. However, adaptive de-blocking is less complex than OBMC, as it requires up to 34% less processing time. Experimental results show that the two techniques significantly improve the subjective and objective quality of the decoded sequences, confirming the expected benefits brought by deblocking in SDMCTF-based video coding.
Munteanu, A , Barbarien, J , Cornelis, J & Schelkens, P 2006, Performing Deblocking in Video Coding based on Spatial-domain Motion compensated Temporal Filtering . in Advanced Concepts for Intelligent Vision Systems. vol. 4179, Lecture Notes in Computer Science, Springer Verlag, Berlin / Heidelberg, pp. 364-374.
Munteanu, A. , Barbarien, J. , Cornelis, J. , & Schelkens, P. (2006). Performing Deblocking in Video Coding based on Spatial-domain Motion compensated Temporal Filtering . In Advanced Concepts for Intelligent Vision Systems (Vol. 4179, pp. 364-374). (Lecture Notes in Computer Science). Springer Verlag.
@inbook{4fcdb22ebd5e4feb8dfe8fede84f4ee2,
title = " Performing Deblocking in Video Coding based on Spatial-domain Motion compensated Temporal Filtering " ,
abstract = " Employing block-based motion models in scalable video coding based on spatial-domain motion-compensated temporal filtering (SDMCTF) introduces artificial block-boundary discontinuities that adversely affect the video compression performance, particularly at low bit-rates. This paper focuses on the problem of deblocking in the context of SDMCTF-based video coding. One possible solution to this problem is the use of overlapped-block motion com-pensation (OBMC). An alternative solution is applying an adaptive deblocking filter, similar to the one used in H.264. With this respect, a novel adaptive de-blocking filter, tailored to SDMCTF video coding is proposed. In terms of vis-ual-quality, both approaches yield similar performance. However, adaptive de-blocking is less complex than OBMC, as it requires up to 34% less processing time. Experimental results show that the two techniques significantly improve the subjective and objective quality of the decoded sequences, confirming the expected benefits brought by deblocking in SDMCTF-based video coding. " ,
keywords = " Wavelet-based scalable video coding, Deblocking filter, Block-based motion models " ,
author = " Adrian Munteanu and Joeri Barbarien and Jan Cornelis and Peter Schelkens " ,
year = " 2006 " ,
month = sep,
day = " 18 " ,
language = " English " ,
isbn = " 978-3-540-44630-9 " ,
volume = " 4179 " ,
series = " Lecture Notes in Computer Science " ,
publisher = " Springer Verlag " ,
pages = " 364374 " ,
booktitle = " Advanced Concepts for Intelligent Vision Systems " ,
address = " Germany " ,
}