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Detecting complex events in user-generated video using concept classifiers

Guo, Jinlin and Scott, David and Hopfgartner, Frank and Gurrin, Cathal (2012) Detecting complex events in user-generated video using concept classifiers. In: 10th Workshop on Content-Based Multimedia Indexing, 27-29 Jun 2012, Annecy, France.

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Abstract

Automatic detection of complex events in user-generated videos (UGV) is a challenging task due to its new characteristics differing from broadcast video. In this work, we firstly summarize the new characteristics of UGV, and then explore how to utilize concept classifiers to recognize complex events in UGV content. The method starts from manually selecting a variety of relevant concepts, followed byconstructing classifiers for these concepts. Finally, complex event detectors are learned by using the concatenated probabilistic scores of these concept classifiers as features. Further, we also compare three different fusion operations of probabilistic scores, namely Maximum, Average and Minimum fusion. Experimental results suggest that our method provides promising results. It also shows that Maximum fusion tends to give better performance for most complex events.

Item Type:Conference or Workshop Item (Poster)
Event Type:Workshop
Refereed:Yes
Uncontrolled Keywords:Complex Events; User-Generated Video; Concept Classifiers
Subjects:Computer Science > Machine learning
Computer Science > Multimedia systems
Computer Science > Algorithms
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > CLARITY: The Centre for Sensor Web Technologies
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in:Content-Based Multimedia Indexing (CBMI), 2012 10th International Workshop on. . IEEE.
Publisher:IEEE
Official URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6269799&contentType=Conference+Publications&sortType%3Dasc_p_Sequence%26filter%3DAND(p_IS_Number%3A6269791)%26rowsPerPage%3D50
Copyright Information:© 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:17528
Deposited On:03 Oct 2012 16:02 by Jinlin Guo. Last Modified 03 Oct 2012 16:02

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