San Francisco, CA, United States of America

Christopher G Doner

This inventor holds 1 USPTO granted patent. Top assignee: Caere Corporation. Active years: 1997.


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 479(Granted Patents)


Company Filing History:


Years Active: 1997

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1 patent (USPTO):Explore Patents

Title: Christopher G Doner: Innovator in Image Retrieval Technology

Introduction

Christopher G Doner is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of image retrieval technology. His innovative approach has led to the development of a unique apparatus that enhances the way users interact with databases.

Latest Patents

Doner holds a patent for an "Apparatus and method for retrieving and grouping images representing." This invention allows for searching and retrieving files in a database without requiring users to provide keywords or query terms. The process begins with the user selecting and opening a reference file. A natural language recognition algorithm is then employed to determine the subject words of the selected file. Following this, a statistical comparison is made between the subject words and the contents of files in the database. Based on this comparison, files are assigned weighted relevancies, allowing relevant files to be prioritized and displayed in groups. These groups are formed based on the relevance of the retrieved files to specific subject words of the selected file.

Career Highlights

Christopher G Doner is associated with Caere Corporation, where he has been able to apply his innovative ideas in a practical setting. His work has contributed to advancements in technology that streamline the process of information retrieval.

Collaborations

Some of his notable coworkers include Lawrence G Miller and Ian D Emmons. Their collaboration has likely fostered an environment of innovation and creativity within their projects.

Conclusion

Christopher G Doner is a pioneering inventor whose work in image retrieval technology has the potential to transform how users access and interact with digital files. His contributions continue to influence the field and inspire future innovations.

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