Synonyms
Video scene and event extraction
Definition
A video scene, also called a logical story unit [7] or simply a story unit, can be defined as a semantically related consecutive series of image frames that depict and convey a high-level concept such as event, topic, object, location, and action, which constitutes a story in a video. Especially, an event can be defined as an incident or situation, which occurs in a particular place during a particular interval of time, for example – homerun in a baseball game, actor’s entrance on stage, car explosion on a highway, etc. Under these definitions, video scene and event detection is used to find all video intervals corresponding to a specific event from a given video.
Historical Background
Video scene and event detection has been an active research area in the community of multimedia signal processing and computer vision and has attracted much interest in many applications such as multimedia information retrieval, video archive indexing...
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsRecommended Reading
Adams B, Amir A, Iyengar G, Lin C-Y, Naphade M, Neti C, Smith JR. Semantic indexing of multimedia content using visual, audio and text cues. EURASIP J Appl Signal Proc. 2003;2003(2):1–16.
Babaguchi N, Kawai Y, Kitahashi T. Event based indexing of broadcasted sports video by intermodal collaboration. IEEE Trans Multimed. 2002;4(1):68–75.
Babaguchi N, Nitta N. Intermodal collaboration: a strategy for semantic content analysis for broadcasted sports video. In: Proceedings of the International Conference Image Processing; 2003. p. 13–6.
Chua T-S, Xu H. Fusion of AV features and external information sources for event detection in team sports video. ACM Trans Multimed Comput Commun Appl. 2006;2(1):44–67.
Goh K-S, Miyahara K, Radhakrishan R, Xiong Z, Divakaran A. Audio-visual event detection based on mining of semantic audio-visual labels. MERL, TR-2004-008. 2004.
Gong Y, Xu W. Machine learning for multimedia content analysis. Berlin: Springer; 2007.
Hanjalic A, Lagendijk RL, Biemond J. Automated high-level movie segmentation for advanced video-retrieval systems. IEEE Trans Circ Syst Video Techn. 1999;9(4):580–8.
Hauptmann AG, Smith MA. Text, speech, and vision for video segmentation: the informedia project. In: Proceedings of the AAAI Symposium on Computational Models for Integrating Language and Vision; 1995. p. 90–5.
Li Y, Kuo C-CJ. Video content analysis using multimodal information: for movie content extraction, indexing and representation. Norwell: Kluwer; 2003.
Lienhart R, Pfeiffer S, Effelsberg W. Video abstracting. Commun ACM. 1997;40(12):55–62.
Merlino A, Morey D, Maybury M. Broadcast news navigation using story segmentation. In: Proceedings of the 5th ACM International Conference on Multimedia; 1997. p. 381–91.
Rui Y, Huang TS, Mehrotra S. Constructing table-of-content for videos. ACM Multimed Syst J. 1999;7(5):359–68.
Sundaram H, Chang S-F. Computable scenes and structures in films. IEEE Trans Multimed. 2002;4(4):482–91.
The National Institute of Standards and Technology (NIST). TREC video retrieval evaluation. 2001–2014. http://www-nlpir.nist.gov/projects/trecvid/
Xie L, Xu P, Chang S-F, Divakaran A, Sun H. Structure analysis of soccer video with domain knowledge and hidden Markov models. Pattern Recogn Lett. 2004;25(7):767–75.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Section Editor information
Rights and permissions
Copyright information
© 2018 Springer Science+Business Media, LLC, part of Springer Nature
About this entry
Cite this entry
Babaguchi, N., Nitta, N. (2018). Video Scene and Event Detection. In: Liu, L., Özsu, M.T. (eds) Encyclopedia of Database Systems. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8265-9_1022
Download citation
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1022
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-8266-6
Online ISBN: 978-1-4614-8265-9
eBook Packages: Computer ScienceReference Module Computer Science and Engineering