Paper
29 January 2007 Dialog detection in narrative video by shot and face analysis
Author Affiliations +
Proceedings Volume 6506, Multimedia Content Access: Algorithms and Systems; 65060K (2007) https://doi.org/10.1117/12.707364
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
The proliferation of captured personal and broadcast content in personal consumer archives necessitates comfortable access to stored audiovisual content. Intuitive retrieval and navigation solutions require however a semantic level that cannot be reached by generic multimedia content analysis alone. A fusion with film grammar rules can help to boost the reliability significantly. The current paper describes the fusion of low-level content analysis cues including face parameters and inter-shot similarities to segment commercial content into film grammar rule-based entities and subsequently classify those sequences into so-called shot reverse shots, i.e. dialog sequences. Moreover shot reverse shot specific mid-level cues are analyzed augmenting the shot reverse shot information with dialog specific descriptions.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Kroon, J. Nesvadba, and A. Hanjalic "Dialog detection in narrative video by shot and face analysis", Proc. SPIE 6506, Multimedia Content Access: Algorithms and Systems, 65060K (29 January 2007); https://doi.org/10.1117/12.707364
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KEYWORDS
Sensors

Facial recognition systems

Visualization

Video

Cameras

Feature extraction

Algorithm development

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