Natural Language Color Selector and Navigator for Selecting Colors from a Color Set

• US 20080003547A1
• Filed: 06/13/2007
• Published: 01/03/2008
• Est. Priority Date: 06/30/2006
• Status: Active Grant

• Current Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Original Assignee: Xerox Corporation (Xerox Holdings Corp.)
• Inventors: Handley, John C., Woolfe, Geoffrey J., Buckley, Robert R.
• Granted Patent: US 8,593,680 B2
• Time in Patent Office: Days
• US Class Current: 434/98
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: H04N 1/60 Colour correction or control H04N1/54 takes precedence

Abstract

Embodiments herein include a method, service, apparatus, etc., that receives initial user input comprising natural language commands that identify the initial color selection. The method displays the initial color samples or patches corresponding to the initial color selection in a two-dimensional grid and receives additional user input comprising additional natural language commands and a refined axis selection. The embodiments herein revise the initial color selection to a revised color selection based on a color change magnitude, a color change direction, and a color change property. Then, this method matches the revised color selection to the computer program colors to produce refined matching colors. These refined matching colors are displayed as refined color samples or patches in the two-dimensional grid. The axes of the two-dimensional grid can correspond to the refined axis selection and the assigned names can also be displayed on the graphic user interface.

Claims

1. A method comprising:

receiving initial user input comprising initial natural language commands identifying an initial color selection;

displaying a plurality of initial color samples corresponding to said initial color selection;

after said displaying of said initial color samples, receiving additional user input comprising additional natural language commands, wherein said additional natural language commands comprise a color change magnitude, a color change direction, and a color change property;

revising said initial color selection to a revised color selection based on said color change magnitude, said color change direction, and said color change property; and

displaying a plurality of refined color samples corresponding to said refined color selection.

2. The method according to claim 1, wherein:

said color change property comprises an indication of at least one of a color, a luminance, a saturation, and a colorfulness;

said color change magnitude comprises an indication of how much of said color change property should be applied to said initial color selection; and

said color change direction comprises an indication of whether said color change property should be increased or decreased in said initial color selection.

3. The method according to claim 1, wherein said initial natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color names.

4. The method according to claim 1, wherein said additional natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color modifiers.

5. The method according to claim 1, wherein said displaying of said initial color samples and said refined color regions comprise displaying a principal color sample corresponding respectively to said initial color selection and said refined color selection, and displaying secondary color samples having similarities to said principal color sample,

wherein ones of said secondary color samples that are more similar to said principal color sample are positioned closer to said principal color sample, and

wherein ones of said secondary color samples that are less similar to said principal color sample are positioned further from said principal color sample.

6. A method comprising:

receiving initial user input comprising initial natural language commands identifying an initial color selection;

displaying a plurality of initial color samples corresponding to said initial color selection in a two-dimensional grid, wherein axes of said two-dimensional grid correspond to a predetermined standard axis;

after said displaying of said initial color samples, receiving at least one additional user input comprising at least one of additional natural language commands and a refined axis selection, wherein said additional natural language commands comprise a color change magnitude, a color change direction, and a color change property;

revising said initial color selection to a revised color selection based on said color change magnitude, said color change direction, and said color change property; and

displaying a plurality of refined color samples corresponding to said refined color selection in said two-dimensional grid, wherein axes of said two-dimensional grid correspond to said refined axis selection.

7. The method according to claim 6, wherein:

said color change property comprises an indication of at least one of a color hue, a luminance, a saturation, and a colorfulness;

said color change magnitude comprises an indication of how much of said color change property should be applied to said initial color selection; and

said color change direction comprises an indication of whether said color change property should be increased or decreased in said initial color selection.

8. The method according to claim 6, wherein said initial natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color names.

9. The method according to claim 6, wherein said additional natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color modifiers.

10. The method according to claim 6, wherein said displaying of said initial color samples and said refined color samples comprise displaying a principal color sample corresponding respectively to said initial color selection and said refined color selection, and displaying secondary color samples having similarities to said principal color sample,

wherein ones of said secondary color samples that are more similar to said principal color sample are positioned closer to said principal color sample, and

wherein ones of said secondary color samples that are less similar to said principal color sampleare positioned further from said principal color sample.

11. A method comprising:

receiving initial user input comprising initial natural language commands identifying an initial color selection;

displaying a plurality of initial color samples corresponding to said initial color selection in a two-dimensional grid, wherein axes of said two-dimensional grid correspond to a predetermined standard axis, and simultaneously displaying assigned names of said initial color samples adjacent to said initial color samples wherein said initial natural language commands are different than assigned names of said initial color samples;

after said displaying of said initial color samples, receiving at least one additional user input comprising at least one of additional natural language commands and a refined axis selection, wherein said additional natural language commands comprise a color change magnitude, a color change direction, and a color change property;

revising said initial color selection to a revised color selection based on said color change magnitude, said color change direction, and said color change property; and

displaying a plurality of refined color samples corresponding to said refined color selection in said two-dimensional grid, wherein axes of said two-dimensional grid correspond to said refined axis selection, and simultaneously displaying said assigned names of said refined color samples adjacent to said refined color samples, wherein said additional natural language commands are different than assigned names of said refined color samples.

12. The method according to claim 11, wherein:

said color change property comprises an indication of at least one of a color hue, a luminance, a saturation, and a colorfulness;

said color change magnitude comprises an indication of how much of said color change property should be applied to said initial color selection; and

said color change direction comprises an indication of whether said color change property should be increased or decreased in said initial color selection.

13. The method according to claim 11, wherein said initial natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color names.

14. The method according to claim 11, wherein said additional natural language commands comprises a plurality of words maintained within at least one previously established library of natural language color modifiers.

15. The method according to claim 11, wherein said displaying of said initial color samples and said refined color samples comprise displaying a principal color sample corresponding respectively to said initial color selection and said refined color selection, and displaying secondary color samples having similarities to said principal color sample,

wherein ones of said secondary color samples that are more similar to said principal color sampleare positioned closer to said principal color sample, and

wherein ones of said secondary color samples that are less similar to said principal color sampleare positioned further from said principal color sample.

16. A method comprising:

receiving initial user input comprising natural language commands identifying an initial color selection;

matching said initial color selection to computer program colors used by an associated computer program to produce initial matching colors;

displaying a plurality of initial color samples corresponding to said initial color selection in a two-dimensional grid, wherein axes of said two-dimensional grid correspond to a predetermined standard axis, and simultaneously displaying assigned names of said initial color samples adjacent to said initial color samples, wherein said initial natural language commands are different than assigned names of said initial color samples;

after said displaying of said initial color samples, receiving at least one additional user input comprising at least one of additional natural language commands and a refined axis selection, wherein said additional natural language commands comprise a color change magnitude, a color change direction, and a color change property;

revising said initial color selection to a revised color selection based on said color change magnitude, said color change direction, and said color change property;

matching said revised color selection to said computer program colors to produce refined matching colors;

displaying a plurality of refined color samples corresponding to said refined color selection in said two-dimensional grid, wherein axes of said two-dimensional grid correspond to said refined axis selection, and simultaneously displaying said assigned names of said refined color samples adjacent to said refined color samples, wherein said additional natural language commands are different than assigned names of said refined color samples;

receiving a selection of at least one of said refined color samples as at least one selected color from said user; and

providing said at least one selected color to said associated computer program.

17. The method according to claim 16, wherein said matching of said initial user input to said computer program colors ignores said assigned names of said colors.

18. The method according to claim 16, wherein said matching of said initial color selection and said matching of said revised color selection comprise matching spectral color characteristic of said initial color selection and said revised color selection to said computer program color.

19. The method according to claim 16, wherein:

said color change property comprises an indication of at least one of a color, a luminance, a saturation, and a colorfulness;

said color change magnitude comprises an indication of how much of said color change property should be applied to said initial color selection; and

said color change direction comprises an indication of whether said color change property should be increased or decreased in said initial color selection.

20. A computer program product comprising:

a computer-usable data carrier storing instructions that, when executed by a computer, cause the computer to perform a method comprising;

receiving initial user input comprising initial natural language commands identifying an initial color selection;

displaying a plurality of initial color samples corresponding to said initial color selection;

after said displaying of said initial color samples, receiving additional user input comprising additional natural language commands, wherein said additional natural language commands comprise a color change magnitude, a color change direction, and a color change property;

revising said initial color selection to a revised color selection based on said color change magnitude, said color change direction, and said color change property; and

displaying a plurality of refined color samples corresponding to said refined color selection.

21. A method comprising:

receiving initial user input comprising initial natural language commands identifying an initial color selection; and

displaying a plurality of initial color samples corresponding to said initial color selection.