Evolution of Statistical Descriptors for the Image Recognition of Natural Sceneries by Means of Genetic Programming for CBIR Improvement
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- @InProceedings{Villegas-Cortez:2018:MICAI,
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author = "J. Villegas-Cortez and C. Aviles-Cruz and
A. Zuniga-Lopez and S. Cordero-Sanchez and
F. {Fernandez De Vega} and F. {Chavez de la O}",
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booktitle = "2018 Seventeenth Mexican International Conference on
Artificial Intelligence (MICAI)",
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title = "Evolution of Statistical Descriptors for the Image
Recognition of Natural Sceneries by Means of Genetic
Programming for CBIR Improvement",
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year = "2018",
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pages = "45--50",
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abstract = "The rise of the Internet involves the simultaneous
growth of the number of images in it. This amount of
images comprises roughly more than half of the Internet
content. This situation poses an open problem: how to
recognize images from their own analysis without the
use of labels describing their content or the analysis
of documents or pages where the images being analyzed
are appearing. In this work we present a novel approach
for improving both the analysis technique and the
classification of images of natural sceneries by using
the content based image retrieval (CBIR) methodology
which is applied for visual search. This improvement
consists of the multigene evolution by means of genetic
programming of new statistical texture descriptors in
accordance with the type of scenery under analysis, the
amount of the descriptors being used and the number of
images. The percentage of recognition reaches up to
8percent for natural scenery images considering 5
classes, showing a satisfactory improvement with new
evolved solutions.",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/MICAI46078.2018.00015",
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month = oct,
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notes = "Also known as \cite{9046512}",
- }
Genetic Programming entries for
Juan Villegas-Cortez
Carlos Aviles-Cruz
A Zuniga-Lopez
S Cordero-Sanchez
Francisco Fernandez de Vega
Francisco Chavez de la O
Citations