Abstract:
Use of video clips for e-learning is very limited due to the
high
usage of band width. The ability to select and retrieve relevant
video clips using semantics addresses this problem. This paper presents
a Profile based Feature Identification system for multimedia database
systems which is designed to support the use of video clips for elearning.
This system is capable of storing educational video clips with their
semantics and retrieving required video clip segments efficiently
on their semantics. The system creates profiles of presenters appearing
in the video clips based on their facial features and uses these
profiles to partition similar video clips into logical meaningful
segments. The face recognition algorithm used by the system is based
on the Principal Components Analysis (PCA) approach. However PCA
algorithm has been modified to cope with the face recognition in
video key frames. Several improvements have been proposed to increase
the face recognition rate and the overall performance of the system
