Scene segmentation of wedding party videos by scenario-based matching with example videos
Authors: 
Kazuki Sawai, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi MuraseAuthors Info & Claims
Kazuki Sawai, Tomokazu Takahashi, Daisuke Deguchi, Ichiro Ide, Hiroshi MuraseAuthors Info & ClaimsPages 1545 - 1548
Abstract
We propose a method for scene segmentation of a wedding party video. Recently, it has become popular to take videos of a wedding ceremony and its party. Especially, because of its length, each scene of a wedding party video needs to be indexed with each event for efficient browsing. The proposed method segments a wedding party video into scenes of events by scenario- based matching with example videos that are synthesized by combining scenes from other wedding party videos according to a scenario.
References
[1]
W.-H. Cheng, Y.-Y. Chuang, and M.-C. Tien. Semantic-event based analysis and segmentation of wedding ceremony videos. In Proc. Int. Workshop on Multimedia Information Retrieval 2007, pages 95--104, March 2007.
[2]
C.-Y. Chiu, C.-H. Li, H.-A. Wang, C.-S. Chen, and L.-F.Chien. A time warping based approach for video copy detection. In Proc. IAPR 18th Int. Conf. on Pattern Recognition, pages 228--231, September 2006.
[3]
C. Panagiotakis and G. Tziritas. A speech/music discriminator based on RMS and zero-crossings. IEEE Trans. Multimedia, 7(1):155--166,February 2004.
[4]
J. Sato, T. Takahashi, I. Ide, and H. Murase. Change detection in streetscapes from GPS coordinated omni-directional image sequences. In Proc. IAPR 18th Int. Conf. on Pattern Recognition, pages 935--938, August 2006.
[5]
M. Takimoto, S. Satoh, and M. Sakauchi. Identification and detection of the same scene based on flashlight patterns. In Proc. 2006 IEEE Int. Conf. on Multimedia and Expo, pages 9--12, January 2006.
[6]
H. Uchiyama, D. Deguchi, T. Takahashi, I. Ide, and H. Murase. Ego-localization using streetscape image sequences from in-vehicle cameras. In Proc. 2009 IEEE Intelligent Vehicles Symposium, pages 185--190, June 2009.
[7]
P. Viola and M. Jones. Robust real-time face detection. Int. J. Computer Vision, 57(2):137--154, May 2004.
Index Terms
- Scene segmentation of wedding party videos by scenario-based matching with example videos
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Information & Contributors
Information
Published In
November 2011
944 pages
ISBN:9781450306164
DOI:10.1145/2072298
- General Chairs:
- K. Selçuk Candan,
- Sethuraman Panchanathan,
- Balakrishnan Prabhakaran,
- Program Chairs:
- Hari Sundaram,
- Wu-Chi Feng,
- Nicu Sebe
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Published: 28 November 2011
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