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Dialogue scene detection in movies using low and mid-level visual features
Lehane, Bart; O'Connor, Noel E.; Murphy, Noel
This paper describes an approach for detecting dialogue scenes in movies. The approach uses automatically extracted low- and mid-level visual features that characterise the visual content of individual shots, and which are then combined using a state transition machine that models the shot-level temporal characteristics of the scene under investigation. The choice of visual features used is motivated by a consideration of formal film syntax. The system is designed so that the analysis may be applied in order to detect different types of scenes, although in this paper we focus on dialogue sequences as these are the most prevalent scenes in the movies considered to date.
Keyword(s): Digital video; Information retrieval
Publication Date:
2004
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Lehane, Bart, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <https://orcid.org/0000-0002-4033-9135> and Murphy, Noel (2004) Dialogue scene detection in movies using low and mid-level visual features. In: International Workshop on Image, Video, and Audio Retrieval and Mining, 25-26 October 2004, Quebec, Canada.
File Format(s): application/pdf
Related Link(s): http://doras.dcu.ie/400/1/image_vid_aud_ret_2004.pdf,
http://www.corimedia.org/workshop2004/
First Indexed: 2009-11-05 02:00:39 Last Updated: 2019-02-09 07:03:45