Semi-automatic annotation system for home videos

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86085195" target="_blank" >RIV/61989100:27240/10:86085195 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Semi-automatic annotation system for home videos
Original language description
This paper presents a semi-automatic system for home video annotation that searches into the video contents and retrieves video shots for a specific person. The proposed system is composed of four phases; 1) shot detection phase that detects shots boundaries and divides the original video into shots, 2) face detection and recognition phase that detects faces in video shots based on Haar-like features and uses the Principal Component Analysis (PCA) algorithm for features extraction in order to select theeigenvectors with the largest eigenvalues, 3) face clustering and annotation phase that groups faces with similar facial features into the same cluster and apply face annotation on persons' shots (person's faces) using User Interface, and 4) retrievingphase that enables the user to enter a query to search by person's name then retrieves the video shots for this query from the database of the video shots. The proposed system is simple and provides a friendly user interface. It greatly r
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10
ISBN
978-1-4244-8135-4
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1275-1280
Publisher name
IEEE
Place of publication
New York
Event location
Káhira
Event date
Nov 29, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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