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== Links == | == Links == | ||
Aktuelle Version vom 21. Juni 2016, 22:47 Uhr
Inhaltsverzeichnis
Referenz
A. W. M. Smeulders , M. Worring , S. Santini , A. Gupta and R. Jain: Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell., vol. 22, no. 12, pp. 1349-1380, 2000
DOI
http://dx.doi.org/10.1109/34.895972
Abstract
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
Extended Abstract
Bibtex
@ARTICLE{895972,
author={A. W. M. Smeulders and M. Worring and S. Santini and A. Gupta and R. Jain},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={Content-based image retrieval at the end of the early years},
year={2000},
volume={22},
number={12},
pages={1349-1380},
keywords={computer vision;content-based retrieval;image colour analysis;image retrieval;image segmentation;image texture;reviews;visual databases;accumulative features;content-based image retrieval;databases;global features;local geometry;pictures;salient points;semantic gap;semantics;sensory gap;similarity;system architecture;system engineering;use patterns;Color;Computer vision;Content based retrieval;Data engineering;Employee welfare;Feedback;Geometry;Image processing;Image retrieval;Shape},
doi={10.1109/34.895972},
url={http://dx.doi.org/10.1109/34.895972 http://de.evo-art.org/index.php?title=Content-based_image_retrieval_at_the_end_of_the_early_years },
ISSN={0162-8828},
month={Dec},
}
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