2000
@article{SWS2000,
vgclass = {refpap},
vgproject = {cbir},
author = {Arnold W. M. Smeulders and Marcel Worring and Simone
Santini and Amarnath Gupta and Ramesh Jain},
title = {Content-Based Image Retrieval at the End of the Early
Years},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {22},
number = {12},
pages = {1349--1380},
month = {December},
year = {2000},
url = {http://ieeexplore.ieee.org/iel5/34/19391/00895972.pdf},
abstract = {The paper presents a review of 200 references in
content-based image retrieval. The paper starts with discussing the
working conditions of content-based retrieval: patterns of use, types
of pictures, the role of semantics, and the sensory gap. Subsequent
sections discuss computational steps for image retrieval systems. Step
one of the review is image processing for retrieval sorted by color,
texture, and local geometry. Features for retrieval are discussed next,
sorted by: accumulative and global features, salient points, object and
shape features, signs, and structural combinations thereof. Similarity
of pictures and objects in pictures is reviewed for each of the feature
types, in close connection to the types and means of feedback the user
of the systems is capable of giving by interaction. We briefly discuss
aspects of system engineering: databases, system architecture, and
evaluation. In the concluding section, we present our view on: the
driving force of the field, the heritage from computer vision, the
influence on computer vision, the role of similarity and of
interaction, the need for databases, the problem of evaluation, and the
role of the semantic gap.},
}