CLIMS - A System for Image Retrieval by Using Colour and Wavelet Features

Authors:
Odej Kao;Ingo la Tendresse
Affiliations:
-;-
Venue:
ADVIS '00 Proceedings of the First International Conference on Advances in Information Systems
Year:
2000

Citing 4
Cited 0

PostgreSQL: introduction and concepts

PostgreSQL: introduction and concepts
Multimedia and Imaging Databases

Multimedia and Imaging Databases
Content-Based Image Indexing

VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Wavelet-based video indexing and querying

Multimedia Systems - Special section on video libraries

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper a system called CLIMS (CLausthal Image Management System) for content based image retrieval as an important sub-system of a general multimedia database is presented. It offers querying by sketch and image example and uses colour and wavelet based features for the comparison of images. Each image in the database is represented by a set of wavelet coefficients and colour attributes, which form the fundament for the retrieval. In order to enable efficient similarity search two index structures, VP-Trees and Lq metric, are introduced and discussed. With the extension of the original VP-tree algorithm a ranking of the n most similar images is possible. The efficiency of the proposed retrieval methods is evaluated on a sample, general image catalogue.