Motion compensation aided motion adaptive de-interlacing for real-time video processing applications

Hongbin Sun; Yang Liu; Nanning Zheng; Tong Zhang

doi:10.1109/ACSSC.2008.5074676

Motion compensation aided motion adaptive de-interlacing for real-time video processing applications

Hongbin Sun
, Yang Liu
, Nanning Zheng
, Tong Zhang

College of Artificial Intelligence and Robotics

Rensselaer Polytechnic Institute

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

4 Scopus citations

Abstract

This paper presents a low-complexity motion compensation (MC) aided motion adaptive (MA) de-interlacing method, aiming at effectively leveraging the fact human eyes are not sensitive to high spatial frequency with rapid motion. The basic idea is to enhance MA de-interlacing by applying MC de-interlacing to process slow-moving objects. Compared with conventional MC de-interlacing, the motion estimation only needs to search in a much smaller area and can adaptively switch between the same parity and opposite parity fields according to the motion vector. Simulation demonstrates that the proposed method only incurs less than 5% of computational complexity of general MC de-interlacing, and meanwhile can improve the PSNR by up to 10dB compared with conventional MA methods. Its silicon cost and energy consumption are further evaluated by an ASIC design at 0.13μm technology node.

Original language	English
Title of host publication	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Pages	1523-1527
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.2008.5074676
State	Published - 2008
Event	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States Duration: 26 Oct 2008 → 29 Oct 2008

Publication series

Name	Conference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)	1058-6393

Conference

Conference	2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
Country/Territory	United States
City	Pacific Grove, CA
Period	26/10/08 → 29/10/08

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

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10.1109/ACSSC.2008.5074676

Cite this

Sun, H., Liu, Y., Zheng, N., & Zhang, T. (2008). Motion compensation aided motion adaptive de-interlacing for real-time video processing applications. In 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 (pp. 1523-1527). Article 5074676 (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2008.5074676

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title = "Motion compensation aided motion adaptive de-interlacing for real-time video processing applications",

abstract = "This paper presents a low-complexity motion compensation (MC) aided motion adaptive (MA) de-interlacing method, aiming at effectively leveraging the fact human eyes are not sensitive to high spatial frequency with rapid motion. The basic idea is to enhance MA de-interlacing by applying MC de-interlacing to process slow-moving objects. Compared with conventional MC de-interlacing, the motion estimation only needs to search in a much smaller area and can adaptively switch between the same parity and opposite parity fields according to the motion vector. Simulation demonstrates that the proposed method only incurs less than 5\% of computational complexity of general MC de-interlacing, and meanwhile can improve the PSNR by up to 10dB compared with conventional MA methods. Its silicon cost and energy consumption are further evaluated by an ASIC design at 0.13μm technology node.",

author = "Hongbin Sun and Yang Liu and Nanning Zheng and Tong Zhang",

year = "2008",

doi = "10.1109/ACSSC.2008.5074676",

language = "英语",

isbn = "9781424429417",

series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

pages = "1523--1527",

booktitle = "2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008",

note = "2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 ; Conference date: 26-10-2008 Through 29-10-2008",

}

Sun, H, Liu, Y, Zheng, N & Zhang, T 2008, Motion compensation aided motion adaptive de-interlacing for real-time video processing applications. in 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008., 5074676, Conference Record - Asilomar Conference on Signals, Systems and Computers, pp. 1523-1527, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 26/10/08. https://doi.org/10.1109/ACSSC.2008.5074676

Motion compensation aided motion adaptive de-interlacing for real-time video processing applications. / Sun, Hongbin; Liu, Yang; Zheng, Nanning et al.
2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008. 2008. p. 1523-1527 5074676 (Conference Record - Asilomar Conference on Signals, Systems and Computers).

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

TY - GEN

T1 - Motion compensation aided motion adaptive de-interlacing for real-time video processing applications

AU - Sun, Hongbin

AU - Liu, Yang

AU - Zheng, Nanning

AU - Zhang, Tong

PY - 2008

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N2 - This paper presents a low-complexity motion compensation (MC) aided motion adaptive (MA) de-interlacing method, aiming at effectively leveraging the fact human eyes are not sensitive to high spatial frequency with rapid motion. The basic idea is to enhance MA de-interlacing by applying MC de-interlacing to process slow-moving objects. Compared with conventional MC de-interlacing, the motion estimation only needs to search in a much smaller area and can adaptively switch between the same parity and opposite parity fields according to the motion vector. Simulation demonstrates that the proposed method only incurs less than 5% of computational complexity of general MC de-interlacing, and meanwhile can improve the PSNR by up to 10dB compared with conventional MA methods. Its silicon cost and energy consumption are further evaluated by an ASIC design at 0.13μm technology node.

AB - This paper presents a low-complexity motion compensation (MC) aided motion adaptive (MA) de-interlacing method, aiming at effectively leveraging the fact human eyes are not sensitive to high spatial frequency with rapid motion. The basic idea is to enhance MA de-interlacing by applying MC de-interlacing to process slow-moving objects. Compared with conventional MC de-interlacing, the motion estimation only needs to search in a much smaller area and can adaptively switch between the same parity and opposite parity fields according to the motion vector. Simulation demonstrates that the proposed method only incurs less than 5% of computational complexity of general MC de-interlacing, and meanwhile can improve the PSNR by up to 10dB compared with conventional MA methods. Its silicon cost and energy consumption are further evaluated by an ASIC design at 0.13μm technology node.

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M3 - 会议稿件

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BT - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008

T2 - 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008

Y2 - 26 October 2008 through 29 October 2008

ER -

Motion compensation aided motion adaptive de-interlacing for real-time video processing applications

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