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 = "364--374",
booktitle = "Advanced Concepts for Intelligent Vision Systems",
address = "Germany",
}