Description

Abstract

The utilization of the pattern-based index can effectively deal with the problems of high

dimensional visual features, which occur in current visual-based sequence matching methods. The

experimental results show that the proposed method can substantially enhance the precision and

recall for content-based video retrieval even though only two kinds of visual features are

considered. Besides, AFPI is really an efficient method for finding the desired videos from the

massive amount of diverse data. In the future, we will further address the following issues: First,

in addition to color layout and edge histogram, more types of features, such as motion, audio and

the other visual features, will be considered further. Second, we will apply AFPI-tree to the other

types of content-based multimedia retrieval.