User controls in video regeneration system

Young Bong Kim; Yoseph Yoon; Keon Kuk Park; Oh Seok Kwon; Jongnam Kim

doi:10.1007/978-981-13-0311-1_37

User controls in video regeneration system

Young Bong Kim
, Yoseph Yoon
, Keon Kuk Park
, Oh Seok Kwon
, Jongnam Kim

Pukyong National University

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

Abstract

Recently, a variety of multimedia materials have been rapidly generated to generate new data using various blending techniques. The commercial video blending technology used in movies, broadcasts, and commercials requires expertise and is complex for end users. In this paper, we propose a recycling system which recycles images that can obtain similar image synthesis results with less effort than conventional commercial programs. The proposed system consists of three stages: video classifier, image search extractor, and video blender. The composite image generator is implemented with the emphasis on the synthesis of moving objects and semi-fixed objects, such as objects, faces and background compositing. The system uses Poisson Image Matting techniques to handle natural border changes in images and images, feature techniques such as Haar to automatically track face location, size and angle, And a watershed partitioning scheme. The proposed system is easy to use by untrained people because it can produce high quality blended images with simple manipulation of video and image compositing.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018
Editors	Franklin Bien, Syh Yuan Tan, Seong Oun Hwang
Publisher	Springer Verlag
Pages	221-226
Number of pages	6
ISBN (Print)	9789811303104
DOIs	https://doi.org/10.1007/978-981-13-0311-1_37
State	Published - 2019
Externally published	Yes
Event	6th International Conference on Green and Human Information Technology, ICGHIT 2018 - Chiang Mai, Thailand Duration: 31 Jan 2018 → 2 Feb 2018

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	502
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Green and Human Information Technology, ICGHIT 2018
Country/Territory	Thailand
City	Chiang Mai
Period	31/01/18 → 2/02/18

UN SDGs

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

SDG 12 Responsible Consumption and Production

Keywords

Haar-line feature
Poisson image matting
Video blending
Watershed segmentation

Access to Document

10.1007/978-981-13-0311-1_37

Cite this

Kim, Y. B., Yoon, Y., Park, K. K., Kwon, O. S., & Kim, J. (2019). User controls in video regeneration system. In F. Bien, S. Y. Tan, & S. O. Hwang (Eds.), Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018 (pp. 221-226). (Lecture Notes in Electrical Engineering; Vol. 502). Springer Verlag. https://doi.org/10.1007/978-981-13-0311-1_37

@inproceedings{2433b940bc4343ed882bd0e25a32ca8f,

title = "User controls in video regeneration system",

abstract = "Recently, a variety of multimedia materials have been rapidly generated to generate new data using various blending techniques. The commercial video blending technology used in movies, broadcasts, and commercials requires expertise and is complex for end users. In this paper, we propose a recycling system which recycles images that can obtain similar image synthesis results with less effort than conventional commercial programs. The proposed system consists of three stages: video classifier, image search extractor, and video blender. The composite image generator is implemented with the emphasis on the synthesis of moving objects and semi-fixed objects, such as objects, faces and background compositing. The system uses Poisson Image Matting techniques to handle natural border changes in images and images, feature techniques such as Haar to automatically track face location, size and angle, And a watershed partitioning scheme. The proposed system is easy to use by untrained people because it can produce high quality blended images with simple manipulation of video and image compositing.",

keywords = "Haar-line feature, Poisson image matting, Video blending, Watershed segmentation",

author = "Kim, \{Young Bong\} and Yoseph Yoon and Park, \{Keon Kuk\} and Kwon, \{Oh Seok\} and Jongnam Kim",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Green and Human Information Technology, ICGHIT 2018 ; Conference date: 31-01-2018 Through 02-02-2018",

year = "2019",

doi = "10.1007/978-981-13-0311-1\_37",

language = "English",

isbn = "9789811303104",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "221--226",

editor = "Franklin Bien and Tan, \{Syh Yuan\} and Hwang, \{Seong Oun\}",

booktitle = "Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018",

}

Kim, YB, Yoon, Y, Park, KK, Kwon, OS & Kim, J 2019, User controls in video regeneration system. in F Bien, SY Tan & SO Hwang (eds), Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018. Lecture Notes in Electrical Engineering, vol. 502, Springer Verlag, pp. 221-226, 6th International Conference on Green and Human Information Technology, ICGHIT 2018, Chiang Mai, Thailand, 31/01/18. https://doi.org/10.1007/978-981-13-0311-1_37

User controls in video regeneration system. / Kim, Young Bong; Yoon, Yoseph; Park, Keon Kuk et al.
Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018. ed. / Franklin Bien; Syh Yuan Tan; Seong Oun Hwang. Springer Verlag, 2019. p. 221-226 (Lecture Notes in Electrical Engineering; Vol. 502).

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

TY - GEN

T1 - User controls in video regeneration system

AU - Kim, Young Bong

AU - Yoon, Yoseph

AU - Park, Keon Kuk

AU - Kwon, Oh Seok

AU - Kim, Jongnam

PY - 2019

Y1 - 2019

N2 - Recently, a variety of multimedia materials have been rapidly generated to generate new data using various blending techniques. The commercial video blending technology used in movies, broadcasts, and commercials requires expertise and is complex for end users. In this paper, we propose a recycling system which recycles images that can obtain similar image synthesis results with less effort than conventional commercial programs. The proposed system consists of three stages: video classifier, image search extractor, and video blender. The composite image generator is implemented with the emphasis on the synthesis of moving objects and semi-fixed objects, such as objects, faces and background compositing. The system uses Poisson Image Matting techniques to handle natural border changes in images and images, feature techniques such as Haar to automatically track face location, size and angle, And a watershed partitioning scheme. The proposed system is easy to use by untrained people because it can produce high quality blended images with simple manipulation of video and image compositing.

AB - Recently, a variety of multimedia materials have been rapidly generated to generate new data using various blending techniques. The commercial video blending technology used in movies, broadcasts, and commercials requires expertise and is complex for end users. In this paper, we propose a recycling system which recycles images that can obtain similar image synthesis results with less effort than conventional commercial programs. The proposed system consists of three stages: video classifier, image search extractor, and video blender. The composite image generator is implemented with the emphasis on the synthesis of moving objects and semi-fixed objects, such as objects, faces and background compositing. The system uses Poisson Image Matting techniques to handle natural border changes in images and images, feature techniques such as Haar to automatically track face location, size and angle, And a watershed partitioning scheme. The proposed system is easy to use by untrained people because it can produce high quality blended images with simple manipulation of video and image compositing.

KW - Haar-line feature

KW - Poisson image matting

KW - Video blending

KW - Watershed segmentation

UR - https://www.scopus.com/pages/publications/85049602301

U2 - 10.1007/978-981-13-0311-1_37

DO - 10.1007/978-981-13-0311-1_37

M3 - Conference contribution

AN - SCOPUS:85049602301

SN - 9789811303104

T3 - Lecture Notes in Electrical Engineering

SP - 221

EP - 226

BT - Proceedings of the 6th International Conference on Green and Human Information Technology - ICGHIT 2018

A2 - Bien, Franklin

A2 - Tan, Syh Yuan

A2 - Hwang, Seong Oun

PB - Springer Verlag

T2 - 6th International Conference on Green and Human Information Technology, ICGHIT 2018

Y2 - 31 January 2018 through 2 February 2018

ER -

User controls in video regeneration system

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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