  Content based video retrieval is an approach for facilitating the searching
and browsing of large image collections over World Wide Web. In this approach,
video analysis is conducted on low level visual properties extracted from video
frame. We believed that in order to create an effective video retrieval system,
visual perception must be taken into account. We conjectured that a technique
which employs multiple features for indexing and retrieval would be more
effective in the discrimination and search tasks of videos. In order to
validate this claim, content based indexing and retrieval systems were
implemented using color histogram, various texture features and other
approaches. Videos were stored in Oracle 9i Database and a user study measured
correctness of response.
