A Flexible Data Structure for Accessory Image Information

A simple and powerful system for keeping track of derived images and accessory information about images has been designed and implemented. It takes advantage of extra room in image file headers to store information in the form of NAME-TYPE-VALUE (NTV) triples. The NAME is a string name for the triple, the TYPE an integer designating the type, and thus the internal format, of the VALUE. This report describes the format and use of NTV information, including design decisions, current uses, and user software available. In addition, future uses are described, including using NTV triples to specify relations between images, and images and other kinds of information in a general and useful way

A Flexible Data Structure for Accessory Image Information

A simple and powerful system for keeping track of derived images and accessory information about images has been designed and implemented. It takes advantage of extra room in image file headers to store information in the form of NAME-TYPE-VALUE (NTV) triples. The NAME is a string name for the triple, the TYPE an integer designating the type, and thus the internal format, of the VALUE. This report describes the format and use of NTV information, including design decisions, current uses, and user software available. In addition, future uses are described, including using NTV triples to specify relations between images, and images and other kinds of information in a general and useful way

IDEA: Interactive Data Exploration and Analysis

The analysis of business data is often an ill-defined task characterized by large amounts of noisy data. Because of this, business data analysis must combine two kinds of intertwined tasks: exploration and analysis. Exploration is the process of finding the appropriate subset of data to analyze, and analysis is the process of measuring the data to provide the business answer. While there are many tools available both for exploration and for analysis, a single tool or set of tools may not provide full support for these intertwined tasks. We report here on a project that set out to understand a specific business data analysis problem and build an environment to support it. The results of this understanding are, first of all, a detailed list of requirements of this task; second, a set of capabilities that meet these requirements; and third, an implemented client-server solution that addresses many of these requirements and identifies others for future work. Our solution incorporates sever..