Semi-automatic annotation system for home videos

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Semi-automatic annotation system for home videos

Popis výsledku v původním jazyce

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

Název v anglickém jazyce

Semi-automatic annotation system for home videos

Popis výsledku anglicky

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

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

6

Strana od-do

1275-1280

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

Káhira

Datum konání akce

29. 11. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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