VIVIE: A video-surveillance indexer via identity extraction

VIVIE is a system for video sequence indexing. Video frames are annotated according to the identities of appearing subjects. Different interacting modules perform different processing steps, and each can be possibly substituted with a different one performing the same task using a different method....

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Published in2011 IEEE International Conference on Multimedia and Expo pp. 1 - 6
Main Authors Abate, Andrea F., De Marsico, Maria, Nappi, Michele, Daniel, Riccio
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2011
Subjects
Accuracy
Face
Face detection
Face recognition
Feature extraction
Nose
Video Indexing
Video sequences
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ISBN1612843484
9781612843483
ISSN1945-7871
DOI10.1109/ICME.2011.6012238

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Abstract VIVIE is a system for video sequence indexing. Video frames are annotated according to the identities of appearing subjects. Different interacting modules perform different processing steps, and each can be possibly substituted with a different one performing the same task using a different method. Classification and clustering are the most challenging activities. Differently from most existing similar systems, VIVIE accounts for the concomitant appearance of two identities in the same clip, and exploits such information for identity mapping. VIVIE was tested on 7 video clips and on a subset of the SCFace database to assess its performances.
AbstractList VIVIE is a system for video sequence indexing. Video frames are annotated according to the identities of appearing subjects. Different interacting modules perform different processing steps, and each can be possibly substituted with a different one performing the same task using a different method. Classification and clustering are the most challenging activities. Differently from most existing similar systems, VIVIE accounts for the concomitant appearance of two identities in the same clip, and exploits such information for identity mapping. VIVIE was tested on 7 video clips and on a subset of the SCFace database to assess its performances.
Author Daniel, Riccio
Nappi, Michele
Abate, Andrea F.
De Marsico, Maria
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  fullname: Daniel, Riccio
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  organization: Univ. di Salerno, Fisciano, Italy
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Snippet VIVIE is a system for video sequence indexing. Video frames are annotated according to the identities of appearing subjects. Different interacting modules...
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SubjectTerms Accuracy
Face
Face detection
Face recognition
Feature extraction
Nose
Video Indexing
Video sequences
Title VIVIE: A video-surveillance indexer via identity extraction
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