1997
@phdthesis{Smi1997,
vgclass = {thesis},
vgproject = {cbir},
author = {Smith, John},
title = {Integrated Spacial and Feature Image Systems: Retrieval,
Compression and Analysis},
school = {Graduate School of Arts and Sciences,
Columbia University},
address = {2960 Broadway, New York, NY, USA},
year = {1997},
url = {http://disney.ctr.columbia.edu/jrsthesis/},
abstract = {This thesis presents new methods for integrating spatial
and feature information in order to improve systems for image
retrieval, analysis and compression. In particular, this thesis
develops and demonstrates an integrated spatial and feature query
paradigm for image retrieval, a general framework for extracting
spatially localized features from images using histogram and binary set
back-projections, a system for image compression and analysis based
upon a joint-adaptive space and frequency (JASF) graph, and a
representation of texture based upon spatial-frequency energy
histograms.
These techniques are similar in their exploitation of images as
two-dimensional, non-stationary signals. The visually important
information within images is often confined to spatially localized
regions, or is represented by the spatial arrangements of these
regions. By developing processes that analyze and represent images in
this way, we improve our capabilities to develop powerful content-based
image retrieval and image compression systems.
This thesis examines several image system applications, such as image
and video storage and retrieval, content-based image query, adaptive
image compression and image analysis. We demonstrate that by using the
proposed integrated spatial and feature approaches, we improve image
system performance in each application over non-integrated methods.},
}