PCA-based home videos annotation system
by Nashwa El-Bendary, Hossam M. Zawbaa, Aboul Ella Hassanien, Vaclav Snasel
International Journal of Reasoning-based Intelligent Systems (IJRIS), Vol. 3, No. 2, 2011

Abstract: 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 and recognition 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.

Online publication date: Wed, 31-Aug-2011

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