An image compression approach capable of exploiting redundancies in groups of images is introduced. The approach is based on image segmentation, texture analysis and texture synthesis. The proposed algorithm extracts textured regions from an image and merges them with similar texture data from other images, in order to take advantage of textural re-occurrences between the images. The texture ex...

This thesis addresses the problem of extracting and retrieving visual concepts in images databases, with the aim of developing a generic CBIR system applicable to a wide range of images. The system proposed in this thesis is scale and rotation invariant and easily updateable. The proposed approach is modular; the modules constituting the system are the following: • A visual attention module, th...

We describe VisiMine, a system for data mining and statistical analysis of large collections of remotely sensed images.

Similarity has highly application dependent and even subjective characteristics. Similarity models therefore have to be adaptable to application specific requirements and individual user preferences. We focus on two aspects of adaptable similarity search: (1) Adaptable Similarity Models. Examples include pixelbased shape similarity as well as 2D and 3D shape histograms, applied to biomolecular ...

In this paper, we propose a mining approach for efficiently finding implicit spatial relations of objects in images. An effective representation for spatial relations is first designed, from which primary spatial relations can be easily obtained. The proposed primary spatial relations have a good characteristic of symmetry, which can greatly reduce the number of candidate itemsets in the mining...

We present a damage pattern mining framework for hurricane data on residential houses using aerial photographs with 1:3000 based scale. The vertical photographs are normally collected for an overview of a disaster area or for more detailed assessment. Damage on roof, especially for shingles torn off, is expected to be discovered in a more efficient and automatic way instead of going through the...

This paper addresses automatic interpretation of images of outdoor scenes. The method allows instances of objects from a number of generic classes to be identi ed: vegetation, buildings, vehicles, roads, etc., thereby enabling image databases to be queried on scene content. The feature set is based, in part, on psychophysical principles and includes measures of colour, texture and shape. Using ...

In today's multimedia age, images are becoming more and more common in various fields. Database is an area that has found extensive use of images in past few years. Although much advancement has been made in the field of multimedia databases yet there is an urgent need of an integrated framework for creating, managing and retrieving multimedia data. With the increased usage of image data, the n...

Bir Bhanu, Shan Qing, and Jing Peng Center for Research in Intelligent Systems University of California, Riverside, CA 92521, USA Email: fbhanu, shan, [email protected] Abstract Most of the current image retrieval systems use \one-shot" queries to a database to retrieve similar images. Typically a K-NN (nearest neighbor) kind of algorithms is used where weights measuring feature importance alo...

There is an enormous amount of multi-media data including images, video, speech, audio and text, distributed among the various computer nodes on the Internet. The extent to which a user wiU be able to derive useful information from these data depends largely on the ease with which required data can be retrieved from the databases. The share volume of the data also poses a storage constraint on ...