PCA-based home videos annotation system
Nashwa El-Bendary, Hossam M. Zawbaa, Aboul Ella Hassanien, Václav Snåšel · International Journal of Reasoning-based Intelligent Systems · 2011
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 persons faces in home videos.