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