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Color-distribution similarity by information theoretic divergence for color images

Tutkimustuotosvertaisarvioitu

Standard

Color-distribution similarity by information theoretic divergence for color images. / Murayama, Mizuki; Oguro, Daisuke; Kikuchi, Hisakazu; Huttunen, Heikki; Ho, Yo Sung; Shin, Jaeho.

2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. IEEE, 2017.

Tutkimustuotosvertaisarvioitu

Harvard

Murayama, M, Oguro, D, Kikuchi, H, Huttunen, H, Ho, YS & Shin, J 2017, Color-distribution similarity by information theoretic divergence for color images. julkaisussa 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. IEEE, ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE, 1/01/00. https://doi.org/10.1109/APSIPA.2016.7820681

APA

Murayama, M., Oguro, D., Kikuchi, H., Huttunen, H., Ho, Y. S., & Shin, J. (2017). Color-distribution similarity by information theoretic divergence for color images. teoksessa 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 IEEE. https://doi.org/10.1109/APSIPA.2016.7820681

Vancouver

Murayama M, Oguro D, Kikuchi H, Huttunen H, Ho YS, Shin J. Color-distribution similarity by information theoretic divergence for color images. julkaisussa 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. IEEE. 2017 https://doi.org/10.1109/APSIPA.2016.7820681

Author

Murayama, Mizuki ; Oguro, Daisuke ; Kikuchi, Hisakazu ; Huttunen, Heikki ; Ho, Yo Sung ; Shin, Jaeho. / Color-distribution similarity by information theoretic divergence for color images. 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016. IEEE, 2017.

Bibtex - Lataa

@inproceedings{0bdd02ba3f374be0bc962fab76e3d981,
title = "Color-distribution similarity by information theoretic divergence for color images",
abstract = "The divergence similarity between two color images is presented based on the Jensen-Shannon divergence to measure the color-distribution similarity. Subjective assessment experiments were developed to obtain mean opinion scores (MOS) of test images. It was found that the divergence similarity and MOS values showed statistically significant correlations.",
author = "Mizuki Murayama and Daisuke Oguro and Hisakazu Kikuchi and Heikki Huttunen and Ho, {Yo Sung} and Jaeho Shin",
note = "JUFOID=72850",
year = "2017",
month = "1",
day = "17",
doi = "10.1109/APSIPA.2016.7820681",
language = "English",
booktitle = "2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Lataa

TY - GEN

T1 - Color-distribution similarity by information theoretic divergence for color images

AU - Murayama, Mizuki

AU - Oguro, Daisuke

AU - Kikuchi, Hisakazu

AU - Huttunen, Heikki

AU - Ho, Yo Sung

AU - Shin, Jaeho

N1 - JUFOID=72850

PY - 2017/1/17

Y1 - 2017/1/17

N2 - The divergence similarity between two color images is presented based on the Jensen-Shannon divergence to measure the color-distribution similarity. Subjective assessment experiments were developed to obtain mean opinion scores (MOS) of test images. It was found that the divergence similarity and MOS values showed statistically significant correlations.

AB - The divergence similarity between two color images is presented based on the Jensen-Shannon divergence to measure the color-distribution similarity. Subjective assessment experiments were developed to obtain mean opinion scores (MOS) of test images. It was found that the divergence similarity and MOS values showed statistically significant correlations.

U2 - 10.1109/APSIPA.2016.7820681

DO - 10.1109/APSIPA.2016.7820681

M3 - Conference contribution

BT - 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016

PB - IEEE

ER -