1996
@inproceedings{LHD1996,
vgclass = {refpap},
vgproject = {cbir},
author = {Michael S. Lew and D. P. Huijsmans and Dee Denteneer},
title = {Content Based Image Retrieval: {KLT}, Projections, or
Templates},
booktitle = {Image Databases and Multi-Media Search},
address = {Amsterdam, The Netherlands},
pages = {27--34},
month = {August},
year = {1996},
abstract = {Two significant problems in content based retrieval
methods are (1) \emph{Accuracy}: most of the current content based
image retrieval methods have not been quantitatively compared nor
benchmarked with respect to accuracy and (2) \emph{Efficiency}: image
database search methods must be analyzed for their computational
efficiency and interrelationships. We assert that the accuracy problem
is due to the generality of the applications involved. In the current
systems, the goal of the user is not clear, which results in
difficulties in creating ground truth. In this paper, we quantitatively
compare and evaluate three fundamentally different methods for image
copy location, namely, the Karhunen-Loeve transform (KLT), projection,
and template methods in a large portrait database. We discuss some
important theoretical interrelationships, computational efficiency, and
accuracy with respect to real noise experiments.},
}