Article

Automated production of TV program trailer using electronic program guide

Authors:

Yoshihiko Kawai,

Hideki Sumiyoshi,

Nobuyuki YagiAuthors Info & Claims

CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval

Pages 49 - 56

https://doi.org/10.1145/1282280.1282287

Published: 09 July 2007 Publication History

Abstract

This paper proposes two automated methods for producing TV program trailers (short video clips to advertise the program). Program trailers are useful as the representative video of a content retrieval system that operates in a large archive of program videos. The two methods employ introductory descriptions from electronic program guides. The first method is based on the sentence similarity between the closed caption and the introductory text of the target program. We extract closed caption sentences that have the highest similarity for each introductory sentence, and then connect the corresponding video segments to make the representative video. A Bayesian belief network is used to calculate the similarity. The second method extracts several sentences that have the same textual features as those of a general introductory text, and determines the corresponding video sections. The features are learned by using the AdaBoost algorithm. These methods were used to generate trailers for actual TV programs, by which their effectiveness was verified.

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Cited By

Argaw DSoldan MPardo AZhao CHeilbron FChung JGhanem B(2024)Towards Automated Movie Trailer Generation2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00711(7445-7454)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00711
Narwal PDuhan NKumar Bhatia K(2022)A comprehensive survey and mathematical insights towards video summarizationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10367089(103670)Online publication date: Nov-2022
https://doi.org/10.1016/j.jvcir.2022.103670
Mujtaba GRyu E(2020)Client-Driven Personalized Trailer Framework Using Thumbnail ContainersIEEE Access10.1109/ACCESS.2020.29829928(60417-60427)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2982992
Show More Cited By

Index Terms

Automated production of TV program trailer using electronic program guide
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

cover image ACM Conferences

CIVR '07: Proceedings of the 6th ACM international conference on Image and video retrieval

July 2007

655 pages

ISBN:9781595937339

DOI:10.1145/1282280

General Chairs:
Nicu Sebe
Univ. of Amsterdam, The Netherlands
,
Marcel Worring
Univ. of Amsterdam, The Netherlands

Copyright © 2007 ACM.

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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SIGMM: ACM Special Interest Group on Multimedia

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SIGIR: ACM Special Interest Group on Information Retrieval

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 2007

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CIVR07: International Conference on Image and Video Retrieval 2007

July 9 - 11, 2007

Amsterdam, The Netherlands

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Cited By

Argaw DSoldan MPardo AZhao CHeilbron FChung JGhanem B(2024)Towards Automated Movie Trailer Generation2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.00711(7445-7454)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.00711
Narwal PDuhan NKumar Bhatia K(2022)A comprehensive survey and mathematical insights towards video summarizationJournal of Visual Communication and Image Representation10.1016/j.jvcir.2022.10367089(103670)Online publication date: Nov-2022
https://doi.org/10.1016/j.jvcir.2022.103670
Mujtaba GRyu E(2020)Client-Driven Personalized Trailer Framework Using Thumbnail ContainersIEEE Access10.1109/ACCESS.2020.29829928(60417-60427)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2982992
Wang HWang KWu YWang ZZou L(2020)User preference-aware video highlight detection via deep reinforcement learningMultimedia Tools and Applications10.1007/s11042-020-08668-1Online publication date: 20-Feb-2020
https://doi.org/10.1007/s11042-020-08668-1
Smith JJoshi DHuet BHsu WCota JLiu QLienhart RWang HChen SBoll SChen PFriedland GLi JYan S(2017)Harnessing A.I. for Augmenting CreativityProceedings of the 25th ACM international conference on Multimedia10.1145/3123266.3127906(1799-1808)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3123266.3127906
Ionescu BMarin ALambert PCoquin DVertan C(2012)A Content-Driven System Architecture for Tackling Automatic Cataloging of Animated Movie DatabasesMultimedia Storage and Retrieval Innovations for Digital Library Systems10.4018/978-1-4666-0900-6.ch006(101-123)Online publication date: 2012
https://doi.org/10.4018/978-1-4666-0900-6.ch006
Ionescu BLambert PCoquin DMarin AVertan C(2011)Analyzing Animated Movie Contents for Automatic Video IndexingMachine Learning Techniques for Adaptive Multimedia Retrieval10.4018/978-1-61692-859-9.ch011(228-260)Online publication date: 2011
https://doi.org/10.4018/978-1-61692-859-9.ch011
Coquin DLambert PMarin AVertan CIonescu B(2010)A Content-Driven System Architecture for Tackling Automatic Cataloging of Animated Movie DatabasesInternational Journal of Digital Library Systems10.4018/jdls.20100401011:2(1-23)Online publication date: 1-Apr-2010
https://dl.acm.org/doi/10.4018/jdls.2010040101
Money AAgius H(2010)ELVISACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1823746.18237516:3(1-30)Online publication date: 27-Aug-2010
https://dl.acm.org/doi/10.1145/1823746.1823751
Ott L(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
https://doi.org/10.1117/1.3456697
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