Data Visualization 2000: Proceedings of the Joint by G. Melançon, I. Herman (auth.), Dr. ir. Willem Cornelis de

By G. Melançon, I. Herman (auth.), Dr. ir. Willem Cornelis de Leeuw, ir. Robert van Liere (eds.)

It is turning into more and more transparent that using human visible belief for info realizing is vital in lots of fields of technological know-how. This ebook comprises the papers provided at VisSym’00, the second one Joint Visualization Symposium prepared by way of the Eurographics and the IEEE machine Society Technical Committee on Visualization and pics (TCVG). It reviews on 27 new algorithms, suggestions and purposes within the zone of knowledge visualization. the subjects are medical information visualization and data visualization. It supplies practitioners and visualization researchers an summary of the cutting-edge and of destiny instructions of knowledge visualization.

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Data Visualization 2000: Proceedings of the Joint EUROGRAPHICS and IEEE TCVG Symposium on Visualization in Amsterdam, The Netherlands, May 29–30, 2000

It really is changing into more and more transparent that using human visible belief for info knowing is key in lots of fields of technology. This booklet includes the papers awarded at VisSym’00, the second one Joint Visualization Symposium equipped via the Eurographics and the IEEE desktop Society Technical Committee on Visualization and pix (TCVG).

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Radolfz II K OIl . l,IlL (a) straight lines (b) balanced rotation Fig. 6. 2 Internet Multicast Backbone Internet connections represent another example of an organically grown, and growing, geographic network. To support their analysis, which is crucial for 31 maintenance and development, advanced systems such as [7,20] provide effective interactive visualizations of network topologies. The environment of [20] is publicly available, 1 and generates a geometric scene description that can be explored in an interactive browser such as Geomview [2].

In this paper we will present three overview techniques for combining exploratory and direct search methods into one system for image retrieval. We first briefly describe the underlying content-based image retrieval system, CIRCUS. 1 The CIRCUS IR System The retrieval model used by CIRCUS 2 is an adaptation to image retrieval of the Latent Semantic Indexing [3] method. The core idea is to extract a compact, useful representation of the relations between terms and documents. This is achieved through a lowerrank approximation of the term-document occurrence matrix.

Typing the phrase "paintings of nature" resulted in only one image. Not satisfied with the image, we typed in the words "painting and nature" (word order is not important), 5 images were found. Still unsatisfied with these few possibilities, we then typed in "painting," and obtained 720 images. But surprisingly, a large number of the initial results are images about painting, and not of paintings as shown in Fig. 2. Realizing that recently a category search method has been added to the site, we drilled down following Art and Architecture -+ Fine Art -+ Paintings and found 1748 images of paintings.

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