0
Validating large-scale lexical colorresourcesGiordano Beretta & Nathan Moroney, Hewlett-PackardDate: 8/June/2011
Color naming                                                                                                        #EF412...
World Color Survey, Berlin & Kay, 1969•      Munsell Sheets of Color are shown to respondents to elicit color terms•      ...
Light + objectThe spectral power distribution of the light reflected to the eye by an object is theproduct, at each wavelen...
Is it robust?                                                                       g                                     ...
Emissive color?• Excellent correlation between  controlled reflection experiment and  uncontrolled crowd-sourced  experimen...
Advantage of Web experiments• Crowd-sourcing uses the World Wide Web to recruit thousands of respondents• Persistence in t...
We do not have so many friendsCan we leverage a larger class of respondents?•  Munroe and Ellis of xkcd fame have performe...
Validation experimentCan we leverage a larger class of respondents?•  Multi-stimulus categorization task•  Strict sRGB con...
Complete Munroe & Ellis versus the Berlin & Kay data  Graphs show the Berlin and Kay averaged centroids on the abscissa an...
Validated Munroe & Ellis versus the Berlin & KayColor data retained after validation:                                     ...
Complete versus validated Munroe and Ellis data                                                                          h...
Conclusions•  Color terms are well suited for human communication•  Color naming experiments are robust w.r.t.  •  light s...
Upcoming SlideShare
Loading in...5
×

Validating large-scale lexical color resources

870

Published on

Presentation given 8 June 2011 at AIC Color 2011, Zürich

Published in: Technology
0 Comments
0 Likes
Statistics
Notes
  • Be the first to comment

  • Be the first to like this

No Downloads
Views
Total Views
870
On Slideshare
0
From Embeds
0
Number of Embeds
1
Actions
Shares
0
Downloads
5
Comments
0
Likes
0
Embeds 0
No embeds

No notes for slide

Transcript of "Validating large-scale lexical color resources"

  1. 1. Validating large-scale lexical colorresourcesGiordano Beretta & Nathan Moroney, Hewlett-PackardDate: 8/June/2011
  2. 2. Color naming #EF4123 #007CB0•  Colorimetric values are best for #848688 communicating color via machine #BF1E74 #007CB0•  Color terms are best for communicating color among humans #008F4C•  Problem: how can we find the most effective color terms? #F89F6D #F499B82 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  3. 3. World Color Survey, Berlin & Kay, 1969•  Munsell Sheets of Color are shown to respondents to elicit color terms•  A snapshot in time•  Experiment in the wild•  Several similar experiments, e.g., ISCC–NBS3 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  4. 4. Light + objectThe spectral power distribution of the light reflected to the eye by an object is theproduct, at each wavelength, of the objects spectral reflectance value by the spectralpower distribution of the light source CWF Complexion 400 500 600 700 400 500 600 700 400 500 600 700 Incident SPD x Reflectance curve = Reflected SPD Deluxe Complexion CWF4 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without 400 notice. 500 600 700 400 500 600 700 400 500 600 700 Created 26/4/2011
  5. 5. Is it robust? g blue green• Experiment by Boynton & Olson proves robustness w.r.t. light source Robert M. Boynton, Insights gained from naming grey white the OSA colors, Color categories in thought and yellow language (Clyde L. Hardin and Luisa Maffi, eds.), purple brown Cambridge University Press, 1997, pp. 135–150. pink red orange j5 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  6. 6. Emissive color?• Excellent correlation between controlled reflection experiment and uncontrolled crowd-sourced experiment on the Web Giordano B. Beretta and Nathan M. Moroney, Is it turquoise + fuchsia = purple or is it turquoise + fuchsia = blue? , vol. 7866, SPIE, January 2011, p. 78660H.6 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  7. 7. Advantage of Web experiments• Crowd-sourcing uses the World Wide Web to recruit thousands of respondents• Persistence in time can account for ephemerality of color terms• Respondents recruited mainly from the color community• Nathan Moroney, Dimitris Mylonas7 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  8. 8. We do not have so many friendsCan we leverage a larger class of respondents?•  Munroe and Ellis of xkcd fame have performed a color naming experiment among their readers•  Is there any scientific value in such totally uncontrolled data?•  Frequency sorted color term data points contributed (TDP):8 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  9. 9. Validation experimentCan we leverage a larger class of respondents?•  Multi-stimulus categorization task•  Strict sRGB conditions•  16 color normal observers•  Instructions: “select the color patches you might use with the color term”•  Contributed color stimuli per term (TDP without frequency), CCS:9 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  10. 10. Complete Munroe & Ellis versus the Berlin & Kay data Graphs show the Berlin and Kay averaged centroids on the abscissa and the Munroe and Ellis averages on the ordinate. h*ab   L*   C*   y  =  0.9371x  +  8.6746 y  =  0.9122x  +  6.5418Munroe  &  Ellis:  All  Data   Munroe  &  Ellis-­  All  Data   Munroe  &  Ellis-­  All  Data   360   R2  =  0.97   90   80   R2  =  0.67   270   70   60   180   50   40   90   y  =  0.5291x  +  41.072 R2  =  0.42   0   30   20   0   90   180   270   360   30   50   70   90   20   40   60   80   Berlin  &  Kay   Berlin  &  Kay   Berlin  &  Kay   10 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  11. 11. Validated Munroe & Ellis versus the Berlin & KayColor data retained after validation: Brown Purple Pink Orange Blue Yellow Red Green TDP 33% 44% 49% 49% 53% 70% 73% 74% CCS 2% 7% 6% 3% 7% 3% 5% 18% h*ab   L*   C*   100   y  =  0.9286x  +  10.427 y  =  1.0863x  -­  0.6702 360   Munroe  &  Ellis-­  Validated  Data   Munroe  &  Ellis-­  Validated  Data  Munroe  &  Ellis-­  Validated  Data   R2  =  0.97 90   R2  =  0.65   80   270   70   60   180   50   40   90   y  =  0.3221x  +  62.678 R2  =  0.13   0   30   20   0   90   180   270   360   30   50   70   90   20   40   60   80   Berlin  &  Kay   Berlin  &  Kay   Berlin  &  Kay  11 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  12. 12. Complete versus validated Munroe and Ellis data h*ab   L*   C*   360   y  =  0.9933x  +  1.4356 y  =  1.2005x  -­  8.9949 y  =  0.9839x  +  12.971 R2  =  0.999   90   R2  =  0.99   90   Munroe  &  Ellis-­  Validated  Data   Munore  &  Ellis-­  Validated  Data  Munroe  &  Ellis-­  Validated  Data   R2  =  0.82   270   70   70   180   50   50   90   0   30   30   0   90   180   270   360   30   50   70   90   30   50   70   90   Munroe  &  Ellis-­  All  Data   Munore  &  Ellis-­  All  Data   Munroe  &  Ellis-­  All  Data  12 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  13. 13. Conclusions•  Color terms are well suited for human communication•  Color naming experiments are robust w.r.t. •  light sources •  reflection vs. emissive patches •  crowd-sourcing •  disruptive users in large experiments•  Color terms are ephemeral and need continuous experiments•  Future work: •  basic terms vs. long tail •  how does color naming scale?13 of 13 © Copyright 2011 Hewlett-Packard Development Company, L.P. The information contained herein is subject to change without notice. Created 26/4/2011
  1. A particular slide catching your eye?

    Clipping is a handy way to collect important slides you want to go back to later.

×