Video shot classification using human faces
- 24 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 843-846
- https://doi.org/10.1109/icip.1996.560880
Abstract
People usually make up a lot of the information content in videos. The abilities to answer queries and facilitate browsing related to people in videos are crucial. In a single video sequence, a particular person may appear multiple number of times. We propose a scheme to automatically detect the repeated occurrences of the same people to enable fast people related searching. In particular, we propose a video shot classification scheme using human faces, regardless of scale and background. Video shots are classified by clustering facial features extracted from these shots. Potential applications include video indexing and browsing. Employing unsupervised clustering algorithms, this scheme requires no human intervention. Experimental results on a 4-minute news sequence show that it achieves encouraging results.Keywords
This publication has 6 references indexed in Scilit:
- The Advanced Video Information System: data structures and query processingMultimedia Systems, 1996
- Efficient and effective Querying by Image ContentJournal of Intelligent Information Systems, 1994
- Two-stage strategy for indexing and presenting videoPublished by SPIE-Intl Soc Optical Eng ,1994
- View-based and modular eigenspaces for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Automatic partitioning of full-motion videoMultimedia Systems, 1993
- MPEGCommunications of the ACM, 1991