PCA-based home videos annotation system

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86085194" target="_blank" >RIV/61989100:27240/11:86085194 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1504/IJRIS.2011.042202" target="_blank" >http://dx.doi.org/10.1504/IJRIS.2011.042202</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJRIS.2011.042202" target="_blank" >10.1504/IJRIS.2011.042202</a>

Result language
angličtina
Original language name
PCA-based home videos annotation system
Original language description
This paper presents a semi-automatic home videos annotation system that searches into video contents and retrieves video shots for a specific person. The proposed system is composed of four phases; namely (a) shot detection phase, (b) face detection andrecognition phase using the Principal Component Analysis (PCA) feature extraction algorithm based on Haar-like features, (c) face clustering and annotation phase, and (d) retrieval phase. The proposed system is simple and provides a user-friendly interface. It greatly reduces workload and enhances the accuracy of annotating person's faces in home videos. Copyright 2011 Inderscience Enterprises Ltd.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical
International Journal of Reasoning-based Intelligent Systems
ISSN
1755-0556
e-ISSN
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Volume of the periodical
3
Issue of the periodical within the volume
2
Country of publishing house
CH - SWITZERLAND
Number of pages
9
Pages from-to
71-79
UT code for WoS article
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EID of the result in the Scopus database
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