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Indexing of fictional video content for event detection and summarisation

Lehane, Bart and O'Connor, Noel E. and Lee, Hyowon and Smeaton, Alan F. (2007) Indexing of fictional video content for event detection and summarisation. EURASIP Journal on Image and Video Processing . ISSN 1687-5176

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This paper presents an approach to movie video indexing that utilises audiovisual analysis to detect important and meaningful temporal video segments, that we term events. We consider three event classes, corresponding to dialogues, action sequences, and montages, where the latter also includes musical sequences. These three event classes are intuitive for a viewer to understand and recognise whilst accounting for over 90% of the content of most movies. To detect events we leverage traditional filmmaking principles and map these to a set of computable low-level audiovisual features. Finite state machines (FSMs) are used to detect when temporal sequences of specific features occur. A set of heuristics, again inspired by filmmaking conventions, are then applied to the output of multiple FSMs to detect the required events. A movie search system, named MovieBrowser, built upon this approach is also described. The overall approach is evaluated against a ground truth of over twenty-three hours of movie content drawn from various genres and consistently obtains high precision and recall for all event classes. A user experiment designed to evaluate the usefulness of an event-based structure for both searching and browsing movie archives is also described and the results indicate the usefulness of the proposed approach.

Item Type:Article (Published)
Uncontrolled Keywords:video indexing; audiovisual analysis; finite state machines (FSMs);
Subjects:Computer Science > Multimedia systems
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Research Initiatives and Centres > Adaptive Information Cluster (AIC)
Publisher:Hindawi Publishing Corporation
Official URL:
Copyright Information:Copyright © 2007 Bart Lehane et al.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:207
Deposited On:04 Mar 2008 by DORAS Administrator. Last Modified 05 May 2010 10:46

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