Automated interactive dynamic audio/visual performance with integrated data assembly system and methods

• US 9,721,321 B1
• Filed: 04/12/2013
• Issued: 08/01/2017
• Est. Priority Date: 04/12/2012
• Status: Active Grant

• Current Assignee: Farshad Nayeri
• Original Assignee: Farshad Nayeri
• Inventors: Nayeri, Farshad
• Primary Examiner(s): Cobb, Michael J
• Application Number:
  US13/862,351
• Time in Patent Office: 1,572 Days
• Field of Search: None
• CPC Class Codes: G06F 16/283 Multi-dimensional databases or data warehouses, e.g. MOLAP or ROLAP
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06T 11/206 Drawing of charts or graphs

Abstract

The computer applications, user devices, methods, and/or systems described herein provide a user with automated tools to facilitate creating dynamic, interactive performances of visualizations that utilize datasets of various digital/web content provided from various data sources and types without loss of access to underlying data used to create the performance.

Claims

1. A system for automating a performance derived from a raw dataset having related data elements, the system comprising:

a communications interface;

a storage device storing;

an application including instructions; and

a native dataset; and

a processing device coupled to the communications interface and the storage device and operable to access the application stored by the storage device, and execute the instructions of the application, the instructions causing the processing device to;

receive the raw dataset, including the related data elements, from the communications interface;

access the raw data, the raw data having a format according to at least one schema that specifies relations between the related data elements;

digest the raw dataset without assuming any data schemas of the raw data set to create the native data set from the raw data set, the native data set including;

multiple dimensions, where each data element of the raw data set is stored in one of the multiple dimensions of the native data set one or more times; and

a relation across the multiple dimensions between the data elements of the native data set; and

interpret the stored native data set according to a scene, wherein the scene specifies at least one pivot point for data elements having the same value within one of the multiple dimensions and interpreting includes;

automatically grouping the data elements in the other multiple dimensions corresponding to the pivot point;

automatically summarizing the data elements of the group in one or more of the other multiple dimensions; and

mapping multiple dimensions of the native data set and their corresponding data elements including the summarized data elements to visual aspects of the scene;

receive an input from a user device in response to a user action to automatically vary the visual aspects of the scene by pivoting between dimensions of the native data set or data elements within a dimension of the native data set; and

render visualizations of the mapped data elements as interpreted according to the scene as a visual performance on a display device, wherein the visual aspects of the rendered visualizations varied by the pivoting are perceived by a viewer of the visual performance as motion.

2. The system of claim 1, wherein the processing device is further operable to execute instructions causing the processing device to:

interpret the stored native data set according to another scene providing a different pivot without changing the data elements of the native dataset or the relation between data elements of the native dataset.

3. The system of claim 1, wherein the visual aspects of the rendered visualizations are varied between a sequence of beats of a timeline of the scene.

4. The system of claim 1, wherein the processing device is further operable to execute instructions that cause the processing device to provide a user interface to generate the input and present the rendering of the visualizations in the performance.

5. The system of claim 4, wherein the user interface includes a tool to add multiple scenes for interpreting the native dataset to the performance to create a story.

6. The system of claim 4, wherein the processing device is further operable to execute instructions that cause the processing device to record user interaction with a performance of a scene and store the user interaction for replay with the scene during a future performance.

7. The system of claim 5, wherein the user interface includes a tool to publish the story to a server and share the story wherein the processing device is further operable to execute instructions that cause the processing device to provide the native dataset and the scenes of the story configured to interpret the native dataset to the server in response to an input to publish the story and transmit a link to access the publication of the story from the server in response to receiving an input to share the story.

8. The system of claim 6, wherein the user interface includes a tool to publish the story to a server and share the story wherein the processing device is further operable to execute instructions that cause the processing device to provide the native dataset, the scenes of the story configured to interpret the native dataset and the recorded user interaction, and a link to access the publication of the story from the server in response to receiving an input to share the story.

9. A computer implemented method for automating a performance derived from a raw dataset having related data elements, the method comprising:

accessing, by a processing device, the raw dataset including the related data elements, the raw data having a format according to at least one schema that specifies relations between the related data elements;

digesting, by a processing device, the raw dataset including the related data elements without assuming any data schemas of the raw data set to create the native data set from the raw data set, the native data set including;

multiple dimensions, where each data element of the raw data set is stored in one of the multiple dimensions of the native data set one or more times; and

a relation across the multiple dimensions between the data elements of the native data set;

storing the native dataset; and

interpreting, by a processing device, the stored native data set according to a scene, wherein the scene specifies at least one pivot point for data elements having the same value within one of the multiple dimensions and interpreting includes;

automatically grouping the data elements in the other multiple dimensions corresponding to the pivot point;

automatically summarizing the data elements of the group in one or more of the other multiple dimensions; and

mapping multiple dimensions of the native data set and their corresponding data elements including the summarized data elements to visual aspects of the scene;

receiving an input from a user device in response to a user action to automatically vary the visual aspects of the scene by pivoting between dimensions of the native data set or data elements within a dimension of the native data set; and

;

rendering, by a processing device, visualizations of the mapped data elements as interpreted according to the scene as a visual performance on a display device, wherein the visual aspects of the rendered visualizations varied by the pivoting are perceived by a viewer of the visual performance as motion.

10. The method of claim 9 further comprising interpreting the stored native data set according to another scene providing a different pivot without changing the data elements of the native dataset or the relation between data elements of the native dataset.

11. The method of claim 9, wherein the visual aspects of the rendered visualizations are varied between a sequence of beats of a timeline of the scene.

12. The method of claim 9, further comprising providing a user interface to generate the input and present the rendering of the visualizations in the performance.

13. The method of claim 12, wherein providing a user interface includes providing a tool to add multiple scenes for interpreting the native dataset to the performance to create a story.

14. The method of claim 12, further comprising recording user interaction with a performance of a scene and storing the user interaction for replay with the scene during a future performance.

15. The method of claim 13, further comprising:

publishing the story to a server by providing the native dataset and the scenes of the story configured to interpret the native dataset to the server; and

providing a link to access the story from the server.

16. The method of claim 14, further comprising:

publishing the story to a server by providing the native dataset, the scenes of the story configured to interpret the native dataset, and the recorded user interaction to the server, and

providing a link to access the story from the server.

17. Software stored in a non-transitory storage device to automate a performance from a raw dataset having related data elements, the software including instructions configured to cause one or more processing devices to:

access the raw dataset including the related data elements, the raw data having a format according to at least one schema that specifies relations between the related data elements;

digesting the raw dataset including the related data elements without assuming any data schemas of the raw data set to create the native data set from the raw data set, the native data set including;

multiple dimensions, where each data element of the raw data set is stored in one of the multiple dimensions of the native data set one or more times; and

a relation across the multiple dimensions between the data elements of the native data set;

store the native dataset; and

interpret the stored native data set according to a scene, wherein the scene specifies at least one pivot point for data elements having the same value within one of the multiple dimensions and interpreting includes;

automatically grouping the data elements in the other multiple dimensions corresponding to the pivot point;

automatically summarizing the data elements of the group in one or more of the other multiple dimensions; and

mapping multiple dimensions of the native data set and their corresponding data elements including the summarized data elements to visual aspects of the scene;

receive an input from a user device in response to a user action to automatically vary the visual aspects of the scene by pivoting between dimensions of the native data set or data elements within a dimension of the native data set; and

render visualizations of the mapped data elements as interpreted according to the scene as a visual performance on a display device, wherein the visual aspects of the rendered visualizations varied by the pivoting are perceived by a viewer of the visual performance as motion.

18. The software of claim 17 further comprising instructions configured to cause one or more processing devices to interpret the stored native data set according to another scene providing a different pivot without changing the data elements of the native dataset or the relation between data elements of the native dataset.

19. The software of claim 18, wherein the visual aspects of the rendered visualizations are varied between a sequence of beats of a timeline of the scene.

20. The software of claim 17, further comprising instructions configured to cause one or more processing devices to:

provide a user interface to generate the input and present the rendering of the visualizations in the performance.

21. The software of claim 20, further comprising instructions configured to cause one or more processing devices to:

provide a tool for the interface to add multiple scenes for interpreting the native dataset to the performance to create a story.

22. The software of claim 20, further comprising instructions configured to cause one or more processing devices to:

record user interaction with a performance of a scene and store the user interaction for replay with the scene during a future performance.

23. The software of claim 21, further comprising instructions configured to cause one or more processing devices to:

publish the story to a server by providing the native dataset and the scenes of the story configured to interpret the native dataset to the server; and

provide a link to access the story from the server.

24. The software of claim 22, further comprising instructions configured to cause one or more processing devices to:

publish the story to a server by providing the native dataset, the scenes of the story configured to interpret the native dataset, and the recorded user interaction to the server; and

provide a link to access the story from the server.