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Retrieving images from large and varied collections using image content as a key is a challenging and important problem. We present a new image representation which provides a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture. This " Blobworld " representation is created by clustering pixels in a(More)
Blobworld is a system for image retrieval based on nding coherent image regions which roughly correspond to objects. The image is segmented into regions by tting a mixture of Gaussians to the pixel distribution in a joint color-texture-position feature space. Each region (\blob") is then associated with color and texture descriptors. Querying is based on(More)
Retrieving images from large and varied collections using image content as a key is a challenging and important problem. In this paper we present a new image representation which provides a transformation from the raw pixel data to a small set of image regions which are coherent in color and texture space. This so-called " blobworld " representation is(More)
Retrieving images from very large collections, using image content a s a k ey, is becoming an important problem. Users prefer to ask for pictures using notions of content that are strongly oriented to the presence of abstractly deened objects. Computer programs that implement these queries automatically are desirable, but are hard to build because(More)
Retrieving images from very large collections using image content as a key is becoming an important problem. Classifying images into visual categories and finding objects in image databases are two major challenges in the field. This paper describes our approach toward the first of the two tasks, the generalization of which we believe will assist in the(More)
The Bulletin of the Technical Committee on Data Engineering is published quarterly and is distributed to all TC members. Its scope includes the design, implementation, modelling, theory and application of database systems and their technology. Letters, conference information, and news should be sent to the Editor-in-Chief. Papers for each issue are(More)
We study the problem of identifying uninteresting content in text streams from micro-blogging services such as Twitter. Our premise is that truly mundane content is not interesting in any context, and thus can be quickly filtered using simple query-independent features. Such a filter could be used for tiering indexes in a micro-blog search engine, with the(More)
We present the design and analysis of a customized access method for the content-based image retrieval system, Blobworld. Using the amdb access method analysis tool, we analyzed three existing multidimensional access methods to support nearest neighbor search in the context of the Blobworld application. Based on this analysis, we propose several variants of(More)
A B S T R A C T Retrieving images from very large collections, using image content as a key, is becoming an important problem. Finding objects in image databases is a big challenge in the field. This paper describes our approach to object recognition , which is distinguished by: a rich involvement of early visual primitives, including color and texture;(More)