TY - JOUR
T1 - Neural net based image retrieval by using color and location information
AU - Inoue, Motomichi
AU - Mitsukura, Yasue
AU - Fukumi, Minoru
AU - Akamatsu, Norio
PY - 2000/12/1
Y1 - 2000/12/1
N2 - In this paper a neural net-based image retrieval method is presented, in which color and location features are extracted from images. This method can retrieve similar images to a selected one from a large data set of color images. In particular, the location features in the color distribution of an image are important in the image retrieval. This image retrieval method extracts color features and their location information included in an image. A neural network tries to find images with similar features from a data set. First, images are translated into gray-scale ones and then are divided into eight regions based on gray scale values. The color and location features are extracted from these regions after integration of regions. The RGB and HSV color values in each region, area, and X- and Y-values in the orthogonal coordinates are learned by the multi-layered neural network. After learning, the neural network evaluates the similarity between a selected image and the other ones in the data set. Similar images found by the neural network are retrieval results.
AB - In this paper a neural net-based image retrieval method is presented, in which color and location features are extracted from images. This method can retrieve similar images to a selected one from a large data set of color images. In particular, the location features in the color distribution of an image are important in the image retrieval. This image retrieval method extracts color features and their location information included in an image. A neural network tries to find images with similar features from a data set. First, images are translated into gray-scale ones and then are divided into eight regions based on gray scale values. The color and location features are extracted from these regions after integration of regions. The RGB and HSV color values in each region, area, and X- and Y-values in the orthogonal coordinates are learned by the multi-layered neural network. After learning, the neural network evaluates the similarity between a selected image and the other ones in the data set. Similar images found by the neural network are retrieval results.
UR - http://www.scopus.com/inward/record.url?scp=0034511067&partnerID=8YFLogxK
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M3 - Conference article
AN - SCOPUS:0034511067
VL - 4
SP - 2575
EP - 2579
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
SN - 0884-3627
T2 - 2000 IEEE International Conference on Systems, Man and Cybernetics
Y2 - 8 October 2000 through 11 October 2000
ER -