1995
@techreport{Scl1995,
vgclass = {report},
vgproject = {cbir},
author = {Stan Sclaroff},
title = {World Wide Web Image Search Engines},
number = {95-016},
institution = {Computer Science Department, Boston University},
address = {111 Cummington St., Boston, MA, USA},
month = {May},
year = {1995},
abstract = {We propose the development of a world wide web image
search engine that crawls the web collecting information about the
images it finds, computes the appropriate image decompositions and
indices, and stores this extracted information for searches based on
image content. Indexing and searching images need not require solving
the image understanding problem. Instead, the general approach should
be to provide an arsenal of image decompositions and discriminants that
can be precomputed for images. At search time, users can select a
weighted subset of these decompositions to be used for computing image
similarity measurements. While this approach avoids the
search-time-dependent problem of labeling what is important in images,
it still holds several important problems that require further research
in the area of query by image content. We briefly explore some of these
problems as they pertain to shape.},
}