Motion-keying based dynamical scene layering with adaptive learning

Zhenzhong Liu; Manolya Kavakli-Thorne; Scott McCallum; Leonard Hamey

doi:10.1145/3057039.3057085

Motion-keying based dynamical scene layering with adaptive learning

Zhenzhong Liu, Manolya Kavakli-Thorne, Scott McCallum, Leonard Hamey

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

2 Citations (Scopus)

Abstract

Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on the conditions for keying. An adaptive learning strategy is also developed to perform a layering task without the support of prior knowledge of the scene. An example is given to demonstrate the effect.

Original language	English
Title of host publication	ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering
Publisher	Association for Computing Machinery
Pages	111-115
Number of pages	5
Volume	Part F127852
ISBN (Electronic)	9781450348096
DOIs	https://doi.org/10.1145/3057039.3057085
Publication status	Published - 18 Feb 2017
Event	9th International Conference on Computer and Automation Engineering, ICCAE 2017 - Sydney, Australia Duration: 18 Feb 2017 → 21 Feb 2017

Conference

Conference	9th International Conference on Computer and Automation Engineering, ICCAE 2017
Country/Territory	Australia
City	Sydney
Period	18/02/17 → 21/02/17

Keywords

Video keying
motion-keying
adaptive learning
scene layering

Access to Document

10.1145/3057039.3057085

Cite this

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title = "Motion-keying based dynamical scene layering with adaptive learning",

abstract = "Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on the conditions for keying. An adaptive learning strategy is also developed to perform a layering task without the support of prior knowledge of the scene. An example is given to demonstrate the effect.",

keywords = "Video keying, motion-keying, adaptive learning, scene layering",

author = "Zhenzhong Liu and Manolya Kavakli-Thorne and Scott McCallum and Leonard Hamey",

year = "2017",

month = feb,

day = "18",

doi = "10.1145/3057039.3057085",

language = "English",

volume = "Part F127852",

pages = "111--115",

booktitle = "ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering",

publisher = "Association for Computing Machinery",

note = "9th International Conference on Computer and Automation Engineering, ICCAE 2017 ; Conference date: 18-02-2017 Through 21-02-2017",

}

Liu, Z, Kavakli-Thorne, M , McCallum, S & Hamey, L 2017, Motion-keying based dynamical scene layering with adaptive learning. in ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering. vol. Part F127852, Association for Computing Machinery, pp. 111-115, 9th International Conference on Computer and Automation Engineering, ICCAE 2017, Sydney, Australia, 18/02/17. https://doi.org/10.1145/3057039.3057085

Motion-keying based dynamical scene layering with adaptive learning. / Liu, Zhenzhong; Kavakli-Thorne, Manolya ; McCallum, Scott et al.
ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering. Vol. Part F127852 Association for Computing Machinery, 2017. p. 111-115.

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

TY - GEN

T1 - Motion-keying based dynamical scene layering with adaptive learning

AU - Liu, Zhenzhong

AU - Kavakli-Thorne, Manolya

AU - McCallum, Scott

AU - Hamey, Leonard

PY - 2017/2/18

Y1 - 2017/2/18

N2 - Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on the conditions for keying. An adaptive learning strategy is also developed to perform a layering task without the support of prior knowledge of the scene. An example is given to demonstrate the effect.

AB - Chroma-keying has been widely applied in multimedia. However, its constraints, including stadium setup, mono-chroma detection and specific techniques for video capture, limit the utilization in consumer electronic applications. This paper presents an economical scheme to perform the keying effect based on motion tracking with low requirements on the conditions for keying. An adaptive learning strategy is also developed to perform a layering task without the support of prior knowledge of the scene. An example is given to demonstrate the effect.

KW - Video keying

KW - motion-keying

KW - adaptive learning

KW - scene layering

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U2 - 10.1145/3057039.3057085

DO - 10.1145/3057039.3057085

M3 - Conference proceeding contribution

AN - SCOPUS:85020859990

VL - Part F127852

SP - 111

EP - 115

BT - ICCAE 2017 : Proceedings of 2017 9th International Conference on Computer and Automation Engineering

PB - Association for Computing Machinery

T2 - 9th International Conference on Computer and Automation Engineering, ICCAE 2017

Y2 - 18 February 2017 through 21 February 2017

ER -

Motion-keying based dynamical scene layering with adaptive learning

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