Generating visualizations from keyword searches of color palettes

• US 10,073,860 B2
• Filed: 06/26/2014
• Issued: 09/11/2018
• Est. Priority Date: 06/26/2014
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Haitani, Robert Yuji, Blackburn, Jenny Ann, Dorner, Charles Shearer, Manolis, Eva, Ong, Timothy Andrew, Sayre, III, Paul Barnhart
• Primary Examiner(s): GEBRESENBET, DINKU W
• Application Number:
  US14/315,914
• Publication Number:
  US 20150379000A1
• Time in Patent Office: 1,538 Days
• CPC Class Codes: G06F 16/54 Browsing; Visualisation therefor
• CPC Class Codes: G06F 16/58 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/5838 using colour

Abstract

Systems and methods are described herein to generate visualizations associated with color palettes identified from keyword searches. Color palettes may include colors determined by human color preferences. Color palettes may be searched by name or other data associated with the color palettes based at least in part on text or audio data. Visualizations such as mood lighting and/or atmosphere colors may be based at least in part on the searched color palettes.

Claims

1. A system comprising:

a data store configured to at least store an audiobook; and

a hardware processor in communication with the data store, the hardware processor configured to execute computer-executable instructions to at least;

determine audiobook text data representing a plurality of words output in a subset of the audiobook during playback of the audiobook;

determine a color palette based at least in part on a keyword of the audiobook text data textually corresponding to a name of the color palette, the color palette comprising a plurality of colors, wherein determining the color palette based at least in part on the keyword of the audiobook text data textually corresponding to the name of the color palette further comprises at least one of;

determining that the name of the color palette includes the keyword of the audiobook text data, or

determining that the name of the color palette is related to the keyword of the audiobook text data using natural language processing;

retrieve the plurality of colors from the color palette;

determine ranking data, wherein determining the ranking data comprises;

calculating a first cumulative score for a first color of the plurality of colors and a second cumulative score for a second color of the plurality of colors, wherein calculating the first cumulative score and the second cumulative score further comprises;

aggregating a first weight for each color palette of a plurality of color palettes comprising the first color; and

aggregating a second weight for each color palette of the plurality of color palettes comprising the second color;

select the first color from the plurality of colors based at least in part on the ranking data that includes the first cumulative score and the second cumulative score; and

cause presentation of the first color on a user computing device during playback of the audiobook on the user computing device.

2. The system of claim 1, wherein the hardware processor is further configured to execute computer-executable instructions to at least:

identify one or more images matching the first color; and

cause presentation of at least one of the one or more images on the user computing device during playback of the audiobook.

3. The system of claim 1, wherein the hardware processor is further configured to execute computer-executable instructions to at least:

pseudo-randomly or randomly select the keyword from the plurality of words.

4. The system of claim 1, wherein the color palette is further determined based at least in part on a weight associated with the color palette.

5. A computer-implemented method comprising:

under control of a hardware computing device configured with specific computer-executable instructions,

determining media content text data representing a plurality of words output in a subset of media content during presentation of the media content;

determining a color palette based at least in part on a keyword of the media content text data textually corresponding to a name of the color palette, the color palette comprising a plurality of colors, wherein determining the color palette based at least in part on the keyword of the media content text data textually corresponding to the name of the color palette further comprises at least one of;

determining that the name of the color palette includes the keyword of the media content text data, or

determining that the name of the color palette is related to the keyword of the media content text data using natural language processing;

retrieving the plurality of colors from the color palette;

determining ranking data, wherein determining the ranking data comprises;

calculating a first cumulative score for a first color of the plurality of colors and a second cumulative score for a second color of the plurality of colors, wherein calculating the first cumulative score and the second cumulative score further comprises;

aggregating a first weight for each color palette of a plurality of color palettes comprising the first color; and

aggregating a second weight for each color palette of the plurality of color palettes comprising the second color;

selecting the first color from the plurality of colors based at least in part on the ranking data that includes the first cumulative score and the second cumulative score; and

causing display of the first color during presentation of the media content.

6. The computer-implemented method of claim 5, further comprising:

identifying one or more images corresponding to the first color; and

causing display of at least one of the one or more images during presentation of the media content.

7. The computer-implemented method of claim 5, wherein the first color is retrieved using a fast color search.

8. The computer-implemented method of claim 5, wherein the media content comprises at least one of audio data or video data.

9. The computer-implemented method of claim 5, further comprising:

pseudo-randomly or randomly selecting the keyword from the plurality of words.

10. The computer-implemented method of claim 5, wherein the media content text data is determined dynamically through speech recognition.

11. The computer-implemented method of claim 5, wherein the color palette is further determined based at least in part on a weight associated with the color palette.

12. A non-transitory computer-readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising:

determining media content text data representing a plurality of words output in a subset of media content during presentation of the media content;

determining a first color palette based at least in part on a first keyword of the media content text data textually corresponding to a first name of the first color palette, the first color palette comprising a plurality of colors, wherein determining the first color palette based at least in part on the first keyword of the media content text data textually corresponding to the first name of the first color palette further comprises at least one of;

determining that the first name of the first color palette includes the first keyword of the media content text data, or

determining that the first name of the first color palette is related to the first keyword of the media content text data using natural language processing;

retrieving the plurality of colors from the first color palette;

determining ranking data, wherein determining the ranking data comprises;

calculating a first cumulative score for a first color of the plurality of colors and a second cumulative score for a second color of the plurality of colors, wherein calculating the first cumulative score and the second cumulative score further comprises;

aggregating a first weight for each color palette of a plurality of color palettes comprising the first color; and

aggregating a second weight for each color palette of the plurality of color palettes comprising the second color;

selecting the first color from the plurality of colors based at least in part on the ranking data that includes the first cumulative score and the second cumulative score; and

causing display of the first color during presentation of the media content.

13. The non-transitory computer-readable storage medium of claim 12, wherein the operations further comprise:

identifying one or more images corresponding to the first color; and

causing display of at least one of the one or more images during presentation of the media content.

14. The non-transitory computer-readable storage medium of claim 12, wherein the first color is retrieved using a fast color search.

15. The non-transitory computer-readable storage medium of claim 12, wherein the media content comprises at least one of audio data or video data.

16. The non-transitory computer-readable storage medium of claim 12, wherein the operations further comprise:

selecting a second keyword from the plurality of words, the second keyword different from the first keyword;

determining a second color palette based at least in part on the second keyword textually corresponding to a second name of the second color palette, the second color palette different from the first color palette; and

causing display of a color from the second color palette instead of the first color during presentation of the media content.

17. The non-transitory computer-readable storage medium of claim 12, wherein the media content text data is determined dynamically through speech recognition.

18. The non-transitory computer-readable storage medium of claim 12, wherein the first color palette is further determined based at least in part on a weight associated with the first color palette.

19. The non-transitory computer-readable storage medium of claim 12, wherein the first keyword comprises two or more words.

20. The non-transitory computer-readable storage medium of claim 12, wherein the operations further comprise:

selecting the first keyword at a predefined interval of words from the plurality of words.