Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2072298.2071938acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
short-paper

A smart video player with content-based fast-forward playback

Published: 28 November 2011 Publication History

Abstract

In this paper, we develop a video player to allow the users to do fast-forward playback based on the semantic video content. The whole system has two modules, processing and playing. In the processing part, we present a video time density function (VTDF) to describe the temporal dynamics of video data first. A VTDF-based temporal quantization method is then developed to find the best quanta and partition in the time domain. The optimal quanta are used to extract key frames. The optimal number of key frames is determined by a temporal mean square error (TMSE)-based criterion. In the playing module, we combine the key frame sequence and a set of parameters together and feed them into a triangle-based transition function to generate the sampled frames in a non-uniform way. A built video player will play all sampled frames in its intelligent fast-forward mode for a given fast-forward speed factor. The implementation of video player demonstrates the feasibility of proposed method in practice.

References

[1]
C. Cotsaces, N. Nikolaidis and I. Pitas, "Video shot boundary detection and condensed representation: a review," IEEE Signal Processing Magazine, vol.23, No.2, 2006.
[2]
Paul Over, Alan F. Smeaton, and Philip Kelly, "The trecvid rushes summarization evaluation pilot," in Proc. of ACM Multimedia, Sep. 2007.
[3]
B.-T. Truong and S. Venkatesh, "Video abstraction: a systematic review and classification," ACM Trans. on Multimedia Computing, Communications and Applications, vol.3, No.1, Feb. 2007.
[4]
B.-W. Chen, J.-C. Wang and J.-F. Wang, "A novel video summarization based on mining the story-structure and semantic relations among concept entities," IEEE Trans. on Multimedia, vol.11, No.2, pp.295--312, 2009.
[5]
X. Zhu, J. Fan, A.-K. Elmagarmid, and X. Wu, "Hierarchical video summarization and content description joint semantic and visual similarity," ACM Multimedia System, 2003.
[6]
J. Jiang, X.-P. Zhang, "Gaussian mixture vector quantization-based video summarization using independent component analysis," in Proc. of IEEE Int. Work. on Multimedia Signal Processing (MMSP), Oct. 2010.
[7]
Z. Xiong, R. Radhakrishnan, A. Divakaran, Y. Rui, and T.-S. Huang, "A unified framework for video summarization, browsing and retrieval," Elsevier Academic Press, 2006.
[8]
S. Benini, P. Migliorati, and R. Leonardi, "Hidden Markov models for video skim generation," In Proc. of the 8th Int. Work. on Image Analysis for Multimedia Interactive Services, Jun. 2007.
[9]
Y.-F. Ma, L. Lu, H.-J. Zhang, and M. Li, "A user attention model for video summarization," in Proc. of ACM Multimedia, Dec. 2002.
[10]
J. Jiang, X.-P. Zhang, "A new player-enabled rapid video navigation method using temporal quantization and repeated weighted boosting search," in Proc. of the 7th IEEE Computer Society Work. on Perceptual Organization in Computer Vision (POCV) in conjunction with CVPR 2010.
[11]
K-Y Cheng, S-J Luo, B-Y Chen, and H-H Chu, "SmartPlayer: user-centric video fast-forwarding," in Proc. of the 27th Int. Conf. on Human Factors in Computing Systems, 2009.
[12]
J. Zhou and X.-P. Zhang. "An ICA mixture hidden Markov model for video content analysis," IEEE Trans. on Circuits and Systems for Video Technology, pp.1576--1586, 2008.
[13]
Z. Cernekova, I. Pitas, and C. Nikou. "Information theory-based shot cut/fade detection and video summarization," IEEE Trans. on Circuits and Systems for Video Technology, 2006.

Cited By

View all
  • (2024)Collaborative Multi-Agent Video Fast-ForwardingIEEE Transactions on Multimedia10.1109/TMM.2023.327585326(1041-1054)Online publication date: 1-Jan-2024
  • (2020)Distributed Multi-agent Video Fast-forwardingProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413767(1075-1084)Online publication date: 12-Oct-2020
  • (2018)FFNet: Video Fast-Forwarding via Reinforcement Learning2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition10.1109/CVPR.2018.00708(6771-6780)Online publication date: Jun-2018
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences
MM '11: Proceedings of the 19th ACM international conference on Multimedia
November 2011
944 pages
ISBN:9781450306164
DOI:10.1145/2072298
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]

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. temporal quantization.
  2. video content analysis
  3. video time density function

Qualifiers

  • Short-paper

Conference

MM '11
Sponsor:
MM '11: ACM Multimedia Conference
November 28 - December 1, 2011
Arizona, Scottsdale, USA

Acceptance Rates

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

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)8
  • Downloads (Last 6 weeks)0
Reflects downloads up to 16 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2024)Collaborative Multi-Agent Video Fast-ForwardingIEEE Transactions on Multimedia10.1109/TMM.2023.327585326(1041-1054)Online publication date: 1-Jan-2024
  • (2020)Distributed Multi-agent Video Fast-forwardingProceedings of the 28th ACM International Conference on Multimedia10.1145/3394171.3413767(1075-1084)Online publication date: 12-Oct-2020
  • (2018)FFNet: Video Fast-Forwarding via Reinforcement Learning2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition10.1109/CVPR.2018.00708(6771-6780)Online publication date: Jun-2018
  • (2016)An Overview+Detail Surveillance Video Player: Information-Based Adaptive Fast-ForwardAdvances in Multimedia Information Processing - PCM 201610.1007/978-3-319-48896-7_36(366-375)Online publication date: 27-Nov-2016
  • (2013)The Video Browser Showdown: a live evaluation of interactive video search toolsInternational Journal of Multimedia Information Retrieval10.1007/s13735-013-0050-8Online publication date: 31-Dec-2013

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media