Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Novel multiresolution metrics for content-based image retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Zheng-Yun Zhuang ; Dept. of Comput. Sci. & Inf. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Ming Ouhyoung

This paper proposes three new ideas and one revision concerning image metrics and their applications. Of most importance is the multiresolution shape metric, which measures distances according to image content shape information. Accompanied with it is a feature/non-feature image characterization philosophy. The second effort is the modification of an existing color metric, whose distance computation is dominated by color distribution of images. The third idea concerns the image querying behavior of the general public, so as to propose and design a versatile power metric, which holds the properties of both the shape metric and the color metric, for dealing with various kinds of hand-drawn queries. Finally, after applying the shape metric to video shot boundary detection, a multiresolution scene change detection algorithm is proposed. For now, we have implemented these metrics on a personal computer for two applications. One is for image database management with content-based indexing and the other is for video shot boundary detection. Experiments show that the speed and the accuracy of both image retrieval and scene change detection are quite good

Published in:

Computer Graphics and Applications, 1997. Proceedings., The Fifth Pacific Conference on

Date of Conference:

13-16 Oct 1997