Content-based image retrieval at the end of the early years
Smeulders, A.W.M.; Worring, M.; Santini, S.; Gupta, A.; Jain, R.
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Volume 22, Issue 12, Dec 2000 Page(s):1349 - 1380
Digital Object Identifier 10.1109/34.895972
Summary: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
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