Modeling human color categorization: Color discrimination and color memory

E.L. van den Broek; M.A. Hendriks; M.J.H. Puts; L.G. Vuurpijl

Modeling human color categorization: Color discrimination and color memory

E.L. van den Broek
, M.A. Hendriks
, M.J.H. Puts
, L.G. Vuurpijl

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields non-intuitive results for the user. We introduce color categories (or focal colors), determine that they are valid, and use them in two experiments. The experiments conducted prove the difference between color categorization by the cognitive processes color discrimination and color memory. In addition, they yield a Color Look-Up Table, which can improve color matching, that can be seen as a model for human color matching.

Original language	English
Title of host publication	BNAIC'03
Subtitle of host publication	Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference
Editors	T.M. Heskes, P.J.F. Lucas, L.G. Vuurpijl, W.A.J.J. Wiegerinck
Place of Publication	Nijmegen
Publisher	University of Nijmegen
Pages	59-66
Number of pages	8
Publication status	Published - 23 Oct 2003
Event	15th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2003 - Nijmegen, Netherlands Duration: 23 Oct 2003 → 24 Oct 2003 Conference number: 15

Conference

Conference	15th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2003
Abbreviated title	BNAIC
Country/Territory	Netherlands
City	Nijmegen
Period	23/10/03 → 24/10/03

Keywords

HMI-HF: Human Factors
Discrimination
Memory
Color matching
Content-Based Image Retrieval (CBIR)
Modeling

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@inproceedings{4a38db5db6544c759a10e20c9045f07b,

title = "Modeling human color categorization: Color discrimination and color memory",

abstract = "Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields non-intuitive results for the user. We introduce color categories (or focal colors), determine that they are valid, and use them in two experiments. The experiments conducted prove the difference between color categorization by the cognitive processes color discrimination and color memory. In addition, they yield a Color Look-Up Table, which can improve color matching, that can be seen as a model for human color matching.",

keywords = "HMI-HF: Human Factors, Discrimination, Memory, Color matching, Content-Based Image Retrieval (CBIR), Modeling",

author = "\{van den Broek\}, E.L. and M.A. Hendriks and M.J.H. Puts and L.G. Vuurpijl",

year = "2003",

month = oct,

day = "23",

language = "English",

pages = "59--66",

editor = "T.M. Heskes and P.J.F. Lucas and L.G. Vuurpijl and W.A.J.J. Wiegerinck",

booktitle = "BNAIC'03",

publisher = "University of Nijmegen",

note = "15th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2003, BNAIC ; Conference date: 23-10-2003 Through 24-10-2003",

}

van den Broek, EL, Hendriks, MA, Puts, MJH & Vuurpijl, LG 2003, Modeling human color categorization: Color discrimination and color memory. in TM Heskes, PJF Lucas, LG Vuurpijl & WAJJ Wiegerinck (eds), BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference. University of Nijmegen, Nijmegen, pp. 59-66, 15th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2003, Nijmegen, Netherlands, 23/10/03.

Modeling human color categorization: Color discrimination and color memory. / van den Broek, E.L.; Hendriks, M.A.; Puts, M.J.H. et al.
BNAIC'03: Proceedings of the 15th Belgium-Netherlands Artificial Intelligence Conference. ed. / T.M. Heskes; P.J.F. Lucas; L.G. Vuurpijl; W.A.J.J. Wiegerinck. Nijmegen: University of Nijmegen, 2003. p. 59-66.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Modeling human color categorization

T2 - 15th Belgium-Dutch Conference on Artificial Intelligence, BNAIC 2003

AU - van den Broek, E.L.

AU - Hendriks, M.A.

AU - Puts, M.J.H.

AU - Vuurpijl, L.G.

N1 - Conference code: 15

PY - 2003/10/23

Y1 - 2003/10/23

N2 - Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields non-intuitive results for the user. We introduce color categories (or focal colors), determine that they are valid, and use them in two experiments. The experiments conducted prove the difference between color categorization by the cognitive processes color discrimination and color memory. In addition, they yield a Color Look-Up Table, which can improve color matching, that can be seen as a model for human color matching.

AB - Color matching in Content-Based Image Retrieval is done using a color space and measuring distances between colors. Such an approach yields non-intuitive results for the user. We introduce color categories (or focal colors), determine that they are valid, and use them in two experiments. The experiments conducted prove the difference between color categorization by the cognitive processes color discrimination and color memory. In addition, they yield a Color Look-Up Table, which can improve color matching, that can be seen as a model for human color matching.

KW - HMI-HF: Human Factors

KW - Discrimination

KW - Memory

KW - Color matching

KW - Content-Based Image Retrieval (CBIR)

KW - Modeling

UR - http://www.snn.ru.nl/bnaic/bnaictotaalnum-b.pdf

M3 - Conference contribution

SP - 59

EP - 66

BT - BNAIC'03

A2 - Heskes, T.M.

A2 - Lucas, P.J.F.

A2 - Vuurpijl, L.G.

A2 - Wiegerinck, W.A.J.J.

PB - University of Nijmegen

CY - Nijmegen

Y2 - 23 October 2003 through 24 October 2003

ER -

Modeling human color categorization: Color discrimination and color memory

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Conference

Keywords

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