Article

LazyCut: content-aware template-based video authoring

Authors:

Xian-Sheng Hua,

Zengzhi Wang,

Shipeng LiAuthors Info & Claims

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

Pages 792 - 793

https://doi.org/10.1145/1101149.1101318

Published: 06 November 2005 Publication History

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Abstract

Though there are many commercial video authoring tools available today, video authoring remains as a tedious and extremely time consuming task that often requires trained professional skills. To tackle this issue, this demonstration presents a novel end-to-end system, called LazyCut, which enables fast, flexible and personalized video authoring and sharing. LazyCut provides a semi-automatic video authoring and sharing system that significantly reduces users' efforts in video editing while preserving sufficient flexibility and personalization.

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[2]

Girgensohn, A., et al. Home Video Made Easy - Balancing Automation and Use Control. In Proceedings of INTERACT, pp. 464--471, 2001.

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Hua, X.-S., Lu, L., and Zhang, H.-J. AVE - Automated Home Video Editing. ACM Multimedia 2003. Berkeley, CA, USA, Nov 2003.

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Hua, X.-S., et al. Automatically Converting Photographic Series into Video. ACM Multimedia 2004. New York, NY, USA, Oct 2004.

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Hua, X.-S., Wang, Z., Li, S. Personal Media Authoring and Sharing on the Web. ACM Multimedia 2005.

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Jahanlou AChilana P(2022)Katika: An End-to-End System for Authoring Amateur Explainer Motion Graphics VideosProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517741(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517741
Kim JKim J(2021)Guideline-Based Evaluation and Design Opportunities for Mobile Video-based LearningExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451725(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451725
Park JKim KJung JMoon JKum SChun JLim T(2016)Personalized video composition method based on user intention learning2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)10.1109/BMSB.2016.7522006(1-4)Online publication date: Jun-2016
https://doi.org/10.1109/BMSB.2016.7522006
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Index Terms

LazyCut: content-aware template-based video authoring
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision

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Published In

MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia

November 2005

1110 pages

ISBN:1595930442

DOI:10.1145/1101149

General Chairs:
Hongjiang Zhang
Microsoft Research Asia, China
,
Tat-Seng Chua
National University of Singapore, Singapore
,
Program Chairs:
Ralf Steinmetz
Technische Universitat Darmstadt, Germany
,
Mohan Kankanhalli
National University of Singapore, Singapore
,
Lynn Wilcox
FXPAL

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 06 November 2005

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MM05: 2005 13th Annual ACM International Conference on Multimedia

November 6 - 11, 2005

Hilton, Singapore

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Jahanlou AChilana P(2022)Katika: An End-to-End System for Authoring Amateur Explainer Motion Graphics VideosProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517741(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517741
Kim JKim J(2021)Guideline-Based Evaluation and Design Opportunities for Mobile Video-based LearningExtended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411763.3451725(1-6)Online publication date: 8-May-2021
https://dl.acm.org/doi/10.1145/3411763.3451725
Park JKim KJung JMoon JKum SChun JLim T(2016)Personalized video composition method based on user intention learning2016 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)10.1109/BMSB.2016.7522006(1-4)Online publication date: Jun-2016
https://doi.org/10.1109/BMSB.2016.7522006
Akiyama YOore SWatters C(2015)Framework for constructing task-space to support novice multimedia authoringMultimedia Tools and Applications10.1007/s11042-014-1911-874:15(6111-6147)Online publication date: 1-Jul-2015
https://dl.acm.org/doi/10.1007/s11042-014-1911-8
Cardillo DRapp ABenini SConsole LSimeoni RGuercio ELeonardi R(2011)The art of video MashUpMultimedia Tools and Applications10.1007/s11042-009-0449-753:1(1-23)Online publication date: 1-May-2011
https://dl.acm.org/doi/10.1007/s11042-009-0449-7

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Personal media sharing and authoring on the web

The MoCA Workbench: Support for Creativity in Movie Content Analysi

The MoCA Workbench: Support for Creativity in Movie Content Analysi

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