Temporal coherent video decolorization using proximity optimization

Yizhang Tao; Yiyi Shen; Bin Sheng; Ping Li; Enhua Wu

doi:10.1145/2949035.2949046

Temporal coherent video decolorization using proximity optimization

Yizhang Tao, Yiyi Shen, Bin Sheng, Ping Li, Enhua Wu

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

2 Citations (Scopus)

Abstract

Video decolorization has wide application, such as in film industry. However, previous works on video decolorization focus on simply reusing the image decolorization method, which is time-consuming and may lose temporal coherence. This paper proposes a novel video decolorization method

Original language	English
Title of host publication	Proceedings of the 33rd Computer Graphics International Conference, CGI 2016
Publisher	Association for Computing Machinery
Pages	41-44
Number of pages	4
ISBN (Electronic)	9781450341233
DOIs	https://doi.org/10.1145/2949035.2949046
Publication status	Published - Jul 2016
Externally published	Yes
Event	33rd Computer Graphics International Conference, CGI 2016 - Heraklion, Greece Duration: 28 Jun 2016 → 1 Jul 2016

Publication series

Name	ACM International Conference Proceeding Series
Volume	28-June-01-July-2016

Conference

Conference	33rd Computer Graphics International Conference, CGI 2016
Country/Territory	Greece
City	Heraklion
Period	28/06/16 → 1/07/16

Keywords

Decolorization Proximity
Temporal Coherence
Video Decolorazition

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

More information

10.1145/2949035.2949046

Cite this

Tao, Y., Shen, Y., Sheng, B., Li, P., & Wu, E. (2016). Temporal coherent video decolorization using proximity optimization. In Proceedings of the 33rd Computer Graphics International Conference, CGI 2016 (pp. 41-44). (ACM International Conference Proceeding Series; Vol. 28-June-01-July-2016). Association for Computing Machinery. https://doi.org/10.1145/2949035.2949046

@inproceedings{5e79b93a0c3141dfa4354446e379405d,

title = "Temporal coherent video decolorization using proximity optimization",

abstract = "Video decolorization has wide application, such as in film industry. However, previous works on video decolorization focus on simply reusing the image decolorization method, which is time-consuming and may lose temporal coherence. This paper proposes a novel video decolorization method",

keywords = "Decolorization Proximity, Temporal Coherence, Video Decolorazition",

author = "Yizhang Tao and Yiyi Shen and Bin Sheng and Ping Li and Enhua Wu",

year = "2016",

month = jul,

doi = "10.1145/2949035.2949046",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

pages = "41--44",

booktitle = "Proceedings of the 33rd Computer Graphics International Conference, CGI 2016",

note = "33rd Computer Graphics International Conference, CGI 2016 ; Conference date: 28-06-2016 Through 01-07-2016",

}

Tao, Y, Shen, Y, Sheng, B, Li, P & Wu, E 2016, Temporal coherent video decolorization using proximity optimization. in Proceedings of the 33rd Computer Graphics International Conference, CGI 2016. ACM International Conference Proceeding Series, vol. 28-June-01-July-2016, Association for Computing Machinery, pp. 41-44, 33rd Computer Graphics International Conference, CGI 2016, Heraklion, Greece, 28/06/16. https://doi.org/10.1145/2949035.2949046

Temporal coherent video decolorization using proximity optimization. / Tao, Yizhang; Shen, Yiyi; Sheng, Bin et al.
Proceedings of the 33rd Computer Graphics International Conference, CGI 2016. Association for Computing Machinery, 2016. p. 41-44 (ACM International Conference Proceeding Series; Vol. 28-June-01-July-2016).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Shen, Yiyi

AU - Sheng, Bin

AU - Li, Ping

AU - Wu, Enhua

PY - 2016/7

Y1 - 2016/7

N2 - Video decolorization has wide application, such as in film industry. However, previous works on video decolorization focus on simply reusing the image decolorization method, which is time-consuming and may lose temporal coherence. This paper proposes a novel video decolorization method

AB - Video decolorization has wide application, such as in film industry. However, previous works on video decolorization focus on simply reusing the image decolorization method, which is time-consuming and may lose temporal coherence. This paper proposes a novel video decolorization method

KW - Decolorization Proximity

KW - Temporal Coherence

KW - Video Decolorazition

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U2 - 10.1145/2949035.2949046

DO - 10.1145/2949035.2949046

M3 - Conference article published in proceeding or book

AN - SCOPUS:84978924119

T3 - ACM International Conference Proceeding Series

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BT - Proceedings of the 33rd Computer Graphics International Conference, CGI 2016

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T2 - 33rd Computer Graphics International Conference, CGI 2016

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Temporal coherent video decolorization using proximity optimization

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

More information

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