Content based video retrieval system using wavelet transform.

Content-based retrieval is being widely studied. The colour-based retrieval is one of the most popular retrieval algorithms used in this area. It analyses the colour distribution of a query image and returns a list of videos that contain video sequence frames that match the colour features of the query. These systems use low-level image properties, and the retrieval accuracy rate will decrease when dealing with video sequence images. This paper has proposed and implemented a content-based video retrieval system using Haar wavelet, Daubechies D4 wavelet transform and five different types of clustering techniques. The experimental results show that the Haar wavelet with 3-Level transform can perform best with ahigh retrieval accuracy rate (89%).