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Automatic Video Management System Using Face Recognition and MPEG‐7 Visual Descriptors
Author(s) -
Lee JaeHo
Publication year - 2005
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.05.0205.0050
Subject(s) - automatic summarization , computer science , thumbnail , search engine indexing , index (typography) , video compression picture types , facial recognition system , face (sociological concept) , artificial intelligence , video processing , computer vision , video tracking , smacker video , database index , multimedia , pattern recognition (psychology) , image (mathematics) , world wide web , social science , sociology
ABSTRACT The main goal of this research is automatic video analysis using a face recognition technique. In this paper, an automatic video management system is introduced with a variety of functions enabled, such as index, edit, summarize, and retrieve multimedia data. The automatic management tool utilizes MPEG‐7 visual descriptors to generate a video index for creating a summary. The resulting index generates a preview of a movie, and allows non‐linear access with thumbnails. In addition, the index supports the searching of shots similar to a desired one within saved video sequences. Moreover, a face recognition technique is utilized to personal‐based video summarization and indexing in stored video data.

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