We have witnessed great interest and a wealth of promise in content-based image retrieval
as an emerging technology. While the last decade laid foundation to such promise, it also …

We present here SIMPLIcity (semantics-sensitive integrated matching for picture libraries),
an image retrieval system, which uses semantics classification methods, a wavelet-based …

Spatiotemporal data fusion, as a feasible and low-cost solution for producing time-series
satellite images with both high spatial and temporal resolution, has undergone rapid …

Designing computer programs to automatically categorize images using low-level features is
a challenging research topic in computer vision. In this paper, we present a new learning …

In this paper, we propose a partially-blurred-image classification and analysis framework for
automatically detecting images containing blurred regions and recognizing the blur types for …

The last decade has witnessed great interest in research on content-based image retrieval.
This has paved the way for a large number of new techniques and systems, and a growing …

In a typical content-based image retrieval (CBIR) system, target images (images in the
database) are sorted by feature similarities with respect to the query. Similarities among …

This application claims priority to US Provisional Patent Application Ser. No. 60/829,556,
filed Oct. 16, 2006. This application is also a continuation-in-part of US patent appli cation …

This paper proposes a fuzzy logic approach, UFM (unified feature matching), for region-
based image retrieval. In our retrieval system, an image is represented by a set of …

Defocus blur is extremely common in images captured using optical imaging systems. It may
be undesirable, but may also be an intentional artistic effect, thus it can either enhance or …