Data transpositioning with content-based image retrieval

Michael J. Manno; Daqing Hou

doi:10.1117/12.2264116

1 May 2017 Data transpositioning with content-based image retrieval

Michael J. Manno, Daqing Hou

Proceedings Volume 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII; 1019904 (2017) https://doi.org/10.1117/12.2264116
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

Currently, when data is collected, it is usually collected for a specific need or situation. This includes text and image data. When a new need or situation arises, the data collection process repeats, often without referencing the original data collected for previous situations. Data Transpositioning is a search methodology that leverages the context of a previous manual search process, to formulate a new automated search with new results. As a result, the data collection process for one situation, can quickly be applied to another situation, but with less user effort. Thus, a set of new results can quickly be constructed without the user manually revisiting each of the originating sources. In the case of Content-Based Image Retrieval, the idea is to identify the content attributes of an image, such as a particular color, shape or texture, and apply changes to the originating query, and return a new set of results with the similar attributes. Data Transpositioning has been successfully applied to the result sets that contain text. Our goal is to continue this research beyond text to solve more complex problems in other domains, especially when image data are involved.

Citation Download Citation

Michael J. Manno and Daqing Hou "Data transpositioning with content-based image retrieval", Proc. SPIE 10199, Geospatial Informatics, Fusion, and Motion Video Analytics VII, 1019904 (1 May 2017); https://doi.org/10.1117/12.2264116

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available