| Presentation | 2017-10-05 Effectiveness of Color Quantization for Image Classification Kentaro Obara, Yukinori Suzuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Image classification is essential for image retrieval system. It is necessary to convert a color image to a gray scale image for reduction of the computational cost in image classification. There are four typical conversion methods: Intensity, Gleam, Luminance, and most significant bits (MSB) methods. Ponti et al. showed that the MSB method is the most effective for image classification. Since it is equivalent to color quantization, we investigated the effectiveness of color quantization for image classification using Support Vector Machines (SVM) in the present study. A global color histogram (GCH) was used as an image feature. Results of experiments showed that color quantization improved classification accuracies of 16%, 19% for Gleam, Luminance conversions respectively in the case of 256 dimensions of the GCH. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | image retrieval / classification / gray scale conversion / global color histogram (GCH) / color quantization |
| Paper # | IE2017-53 |
| Date of Issue | 2017-09-28 (IE) |
| Conference Information | |
| Committee | IE / ITE-ME / ITE-AIT |
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| Conference Date | 2017/10/5(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Takayuki Hamamoto(Tokyo Univ. of Science) / Miki Haseyama(Hokkaido Univ.) / Nobuhiko Mukai(Tokyo Cisy Univ.) |
| Vice Chair | Kazuya Kodama(NII) / Hideaki Kimata(NTT) |
| Secretary | Kazuya Kodama(Nagoya Univ.) / Hideaki Kimata(KDDI Research) |
| Assistant | Yasutaka Matsuo(NHK) / Kazuya Hayase(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Group on Media Engineering / Technical Group on Artistic Image Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Effectiveness of Color Quantization for Image Classification |
| Sub Title (in English) | |
| Keyword(1) | image retrieval |
| Keyword(2) | classification |
| Keyword(3) | gray scale conversion |
| Keyword(4) | global color histogram (GCH) |
| Keyword(5) | color quantization |
| 1st Author's Name | Kentaro Obara |
| 1st Author's Affiliation | Muroran Institute of Technology(Muroran-IT) |
| 2nd Author's Name | Yukinori Suzuki |
| 2nd Author's Affiliation | Muroran Institute of Technology(Muroran-IT) |
| Date | 2017-10-05 |
| Paper # | IE2017-53 |
| Volume (vol) | vol.117 |
| Number (no) | IE-228 |
| Page | pp.pp.37-42(IE), |
| #Pages | 6 |
| Date of Issue | 2017-09-28 (IE) |