Image retrieval using image context vectors

Steve Gallant; David M. Fram

doi:10.1117/12.200783

31 January 1995 Image retrieval using image context vectors

Steve Gallant, David M. Fram

Proceedings Volume 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities; (1995) https://doi.org/10.1117/12.200783
Event: 23 Annual AIPR Workshop: Image and Information Systems: Applications and Opportunities, 1994, Washington, DC, United States

Abstract

Searching image databases using image queries is a challenging problem. For the analogous problem with text, those document retrieval methods that use `superficial' information, such as word count statistics, generally outperform natural language understanding approaches. This motivates an exploration of `superficial' feature-based methods for image retrieval. The main strategy is to avoid full image understanding, or even segmentation. The key question for any image retrieval approach is how to represent the images. We are exploring a new image context vector representation. A context vector is a high (approximately 300) dimensional vector that can represent images, sub-images, or image queries. The image is first represented as a collection of pairs of features with relative orientations defined by the feature pairs. Each feature pair is transformed into a context vector, and then all the vectors for pairs are added together to form the 300-dimensional image context vector for the entire image. This paper examines the image context vector approach and its expected strengths and weaknesses.

Citation Download Citation

Steve Gallant and David M. Fram "Image retrieval using image context vectors", Proc. SPIE 2368, 23rd AIPR Workshop: Image and Information Systems: Applications and Opportunities, (31 January 1995); https://doi.org/10.1117/12.200783

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