Motion-keying based dynamical scene layering with adaptive learning

Charles Z. Liu; Manolya Kavakli; Scott McCallum; Len Hamey

doi:10.1145/3057039.3057085

Motion-keying based dynamical scene layering with adaptive learning

Charles Z. Liu, Manolya Kavakli, Scott McCallum, Len Hamey

Research output: Chapter in Book/Published conference output › Conference publication

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	Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017
Publisher	ACM
Pages	111-115
Number of pages	5
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

Publication series

Name	ACM International Conference Proceeding Series
Volume	Part F127852

Conference

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

Bibliographical note

Publisher Copyright:
© 2017 ACM.

Keywords

Adaptive learning
Motion-keying
Scene layering
Video keying

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 = "Adaptive learning, Motion-keying, Scene layering, Video keying",

author = "Liu, {Charles Z.} and Manolya Kavakli and Scott McCallum and Len Hamey",

note = "Publisher Copyright: {\textcopyright} 2017 ACM.; 9th International Conference on Computer and Automation Engineering, ICCAE 2017 ; Conference date: 18-02-2017 Through 21-02-2017",

year = "2017",

month = feb,

day = "18",

doi = "10.1145/3057039.3057085",

language = "English",

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Liu, CZ, Kavakli, M, McCallum, S & Hamey, L 2017, Motion-keying based dynamical scene layering with adaptive learning. in Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. ACM International Conference Proceeding Series, vol. Part F127852, ACM, 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, Charles Z.; Kavakli, Manolya; McCallum, Scott et al.
Proceedings of 2017 9th International Conference on Computer and Automation Engineering, ICCAE 2017. ACM, 2017. p. 111-115 (ACM International Conference Proceeding Series; Vol. Part F127852).

Research output: Chapter in Book/Published conference output › Conference publication

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PY - 2017/2/18

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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.

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ER -

Motion-keying based dynamical scene layering with adaptive learning

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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