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Animation movies trailer computation

Published: 23 October 2006 Publication History

Abstract

This paper presents a method for the automatic generation of animation movie trailers. First, the movie is divided into shots, by detecting the video transitions (cuts, fades and dissolves) and an animation movie specific color effect named short color change or SCC (i.e. explosions, thunders). The movie action content is further highlighted by analyzing the movie at two different granularity levels. First, an inter-shot analysis is performed by measuring the video transition temporal distribution. As repetitive shot changes are related to action, we define as an action shot, a movie segment containing a high shot change ratio. On the other hand, an inter-frame analysis is performed: for each shot within an action shot, an histogram of cumulative inter-frame distances is computed to serve as a measure of the frame spatial activity. Repetitive color changes are also related to action. Since movie trailers only show some of the most attractive movie scenes, the proposed trailer is a moving-image abstract computed on the retained action shots. It provides the user with a compact and efficient representation of the movie action content. The proposed approach was tested on several animation movies.

References

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B.T. Truong and S. Venkatesh. Video Abstraction: A Systematic Review and Classification. Accepted for ACM Transactions on Multimedia Computing, Communications and Applications, 2006.

Cited By

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  • (2022)Key Frame Extraction for Calisthenics Video by Combining Articulated Model with Dynamic Clustering Algorithm6th International Technical Conference on Advances in Computing, Control and Industrial Engineering (CCIE 2021)10.1007/978-981-19-3927-3_35(355-370)Online publication date: 6-Jul-2022
  • (2021)Character Detection in Animated Movies Using Multi-Style Adaptation and Visual AttentionIEEE Transactions on Multimedia10.1109/TMM.2020.300637223(1990-2004)Online publication date: 2021
  • (2021)Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW54120.2021.00359(3198-3207)Online publication date: Oct-2021
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cover image ACM Conferences
MM '06: Proceedings of the 14th ACM international conference on Multimedia
October 2006
1072 pages
ISBN:1595934472
DOI:10.1145/1180639
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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Publication History

Published: 23 October 2006

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MM06
MM06: The 14th ACM International Conference on Multimedia 2006
October 23 - 27, 2006
CA, Santa Barbara, USA

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

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Cited By

View all
  • (2022)Key Frame Extraction for Calisthenics Video by Combining Articulated Model with Dynamic Clustering Algorithm6th International Technical Conference on Advances in Computing, Control and Industrial Engineering (CCIE 2021)10.1007/978-981-19-3927-3_35(355-370)Online publication date: 6-Jul-2022
  • (2021)Character Detection in Animated Movies Using Multi-Style Adaptation and Visual AttentionIEEE Transactions on Multimedia10.1109/TMM.2020.300637223(1990-2004)Online publication date: 2021
  • (2021)Plots to Previews: Towards Automatic Movie Preview Retrieval using Publicly Available Meta-data2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)10.1109/ICCVW54120.2021.00359(3198-3207)Online publication date: Oct-2021
  • (2018)Unsupervised Discovery of Character Dictionaries in Animation MoviesIEEE Transactions on Multimedia10.1109/TMM.2017.274571220:3(539-551)Online publication date: 1-Mar-2018
  • (2013)Multilayer graph cuts based unsupervised color–texture image segmentation using multivariate mixed student's t-distribution and regional credibility mergingPattern Recognition10.1016/j.patcog.2012.09.02446:4(1101-1124)Online publication date: Apr-2013
  • (2010)Automated Generation Method for TV Program Trailers Based on Introductory TextThe Journal of The Institute of Image Information and Television Engineers10.3169/itej.64.8564:1(85-93)Online publication date: 2010
  • (2010)Tackling action-based video abstraction of animated movies for video browsingJournal of Electronic Imaging10.1117/1.345669719:3(033002)Online publication date: 1-Jul-2010
  • (2009)The Journal of The Institute of Image Information and Television Engineers10.3169/itej.63.3663:1(36-41)Online publication date: 2009
  • (2007)Automated production of TV program trailer using electronic program guideProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282287(49-56)Online publication date: 9-Jul-2007

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