Data modeling and feature extraction for image databases

Uri Shaft; Raghu Ramakrishnan

doi:10.1117/12.257280

1 November 1996 Data modeling and feature extraction for image databases

Uri Shaft, Raghu Ramakrishnan

Proceedings Volume 2916, Multimedia Storage and Archiving Systems; (1996) https://doi.org/10.1117/12.257280
Event: Photonics East '96, 1996, Boston, MA, United States

Abstract

Current image retrieval systems have many important limitations. Many are specialized for a particular domain of images, and are not applicable to other image domains. The more general systems treat all images uniformly. Consequently, the power of their query facility is limited to color, texture, shape, and other features that ar common to all images, with no deeper understanding of the structure of a given image. Few systems have addressed the issue of scalability with respect to the size of the image collection and with respect to the underlying techniques. There are two communities that can contribute to image databases: computer vision and database systems. In this paper we focus on the database side of the issue. We consider how to design a database system that supports a rich class of content-based queries on image collections, scales with collection size, and easily incorporate future advances in computer vision. This paper outlines one approach, in the form of the design, implementation and testing of an image database system called PIQ.

Citation Download Citation

Uri Shaft and Raghu Ramakrishnan "Data modeling and feature extraction for image databases", Proc. SPIE 2916, Multimedia Storage and Archiving Systems, (1 November 1996); https://doi.org/10.1117/12.257280

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