99,134 research outputs found
The Development of Color Based Visual Search Utility
During the past few years, much attention has been paid to manage the overwhelming accumulation of rich digital images. In order to improve the traditional text-based or (Structured-Query-Language) SQL-based databases, researches focused on accessing large image databases by the contents of images, such as colors, shapes, and textures. As a result, several content- based image searching systems or met hods were developed. In this thesis, the issue of color-based image search was addressed with special emphasis on color feature. An introduction to color perception, the theoretical foundations of the human image retrieving process, and the content-based image systems and their uses was presented. Several systems were developed. These systems modelled image data using features such as color, texture and shape. Such features are usually extracted from images and stored into database index. Color is one of the most recognisable features exercised by people for visual distinction. Based on observations on how humans measure the perceptual similarity of images, recent studies concluded that human beings have a limited color perception range. Expediting these conclusions, firstly, perceptual color palettes to be used as the perceptual threshold were defined. Secondly, the color algorithm was developed to interpret natural expressions of content such as 10%, 20%, etc. The database-indexing algorithm designed to be independent to the database. Finally, a binary search algorithm was used to match and display images requested. This approach is unique because it is based on hybrid approach to the color based image search. This developed system can be used for any real-world online database. The
system was implemented using Microsoft Visual C++ programming language and HTML. Using 200 images as an experimental database, results of the prototype software demonstrated the achievement of the perceptual concept in image content search
XML for Domain Viewpoints
Within research institutions like CERN (European Organization for Nuclear
Research) there are often disparate databases (different in format, type and
structure) that users need to access in a domain-specific manner. Users may
want to access a simple unit of information without having to understand detail
of the underlying schema or they may want to access the same information from
several different sources. It is neither desirable nor feasible to require
users to have knowledge of these schemas. Instead it would be advantageous if a
user could query these sources using his or her own domain models and
abstractions of the data. This paper describes the basis of an XML (eXtended
Markup Language) framework that provides this functionality and is currently
being developed at CERN. The goal of the first prototype was to explore the
possibilities of XML for data integration and model management. It shows how
XML can be used to integrate data sources. The framework is not only applicable
to CERN data sources but other environments too.Comment: 9 pages, 6 figures, conference report from SCI'2001 Multiconference
on Systemics & Informatics, Florid
Assessment of Transit Information Materials and Development of Criteria for Prototype Transit Materials
https://stars.library.ucf.edu/cfm-ch-memoranda-1944/1122/thumbnail.jp
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