AUTOMATIC APPLICATION OF TEMPLATES TO CONTENT

• US 20140298218A1
• Filed: 03/28/2013
• Published: 10/02/2014
• Est. Priority Date: 03/28/2013
• Status: Active Grant

• Current Assignee: Prezi Inc.
• Original Assignee: Peter Polgar Balazs, Peter Zimon, Zoltan Gera
• Inventors: Arvai, Peter, Gera, Zoltn, Boghiu, Andrei, Paz, Lior, Zimon, Pter, Balzs, Pter Polgr
• Granted Patent: US 9,436,673 B2
• Time in Patent Office: Days
• US Class Current: 715/765
• CPC Class Codes: G06F 3/0481 based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
• CPC Class Codes: G06F 40/103 Formatting, i.e. changing of presentation of documents automatic justification G06F40/189; automatic line break hyphenation G06F40/191
• CPC Class Codes: G06F 40/186 Templates

Abstract

An apparatus and method applying a layout template to content are disclosed herein. A plurality of content included in a visual workspace is automatically grouped into one or more clusters, one or more content of the plurality of content being at different spatial position from each other. At least one cluster is automatically located to a respective content placeholder included in the layout template. The clusters with the layout template are presented in accordance with the automatically locating of the clusters.

Claims

1. A method for applying a layout template to content, the method comprising:

automatically grouping a plurality of content included in a visual workspace into one or more clusters, one or more content of the plurality of content being at different spatial position from each other;

automatically locating, by one or more processors, at least one cluster to a respective content placeholder included in the layout template; and

presenting the clusters with the layout template in accordance with the automatically locating of the clusters.

2. The method of claim 1, wherein at least one of the plurality of content comprises a text, an image, a video, an audio, a graphic, a display element, or visual information.

3. The method of claim 1, wherein the plurality of content are included in a presentation, document, page, screen, or single content creation space.

4. The method of claim 1, wherein the visual workspace comprises a canvas in a zooming user interface (ZUI) environment.

5. The method of claim 1, wherein the presenting of the clusters with the layout template comprises presenting a zoomable presentation of the layout template applied to the plurality of content in the visual workspace.

6. The method of claim 1, wherein a number of clusters determined by the automatically grouping of the plurality of content is greater than a number of the content placeholders included in the layout template.

7. The method of claim 6, wherein the automatically locating of the at least one cluster comprises distributing more than one of the clusters to one of the content placeholder.

8. The method of claim 1, wherein at least one of the automatically grouping or the automatically locating is based on at least one of existing containment of the content, visibility of the content on a display at the same time, or aspect ratio of the display.

9. The method of claim 1, wherein the automatically grouping of the plurality of content comprises determining each cluster based on at least one of relative spatial position, distance, rotation, size, and distribution among the plurality of content.

10. The method of claim 1, wherein the automatically locating of the each of the clusters is based on a content creation date and time associated with each of the clusters.

11. The method of claim 1, wherein the automatically locating of the each of the clusters comprises changing at least one of a spatial position, size, or orientation of at least one of the clusters to match the respective content placeholder.

12. The method of claim 1, further comprising identifying the content placeholders included in the layout template.

13. The method of claim 1, wherein the automatically grouping occurs in response to receiving an indication of interest in the layout template from a user.

14. The method of claim 13, wherein the plurality of content exists prior to the receiving of the indication of interest in the layout template.

15. An apparatus, comprising:

at least one memory including a plurality of layout templates;

at least one processor in communication with the memory; and

one or more modules comprising instructions stored in the memory and executed by the processor to perform operations comprising;

automatically grouping a plurality of content included in a visual workspace into one or more clusters, one or more content of the plurality of content being at different spatial position from each other,

automatically distributing at least one cluster to a respective content placeholder included in a layout template selected from the plurality of layout templates, and

presenting the clusters with the layout template in accordance with the automatically locating of the clusters.

16. The apparatus of claim 15, wherein at least one of the plurality of content comprises a text, an image, a video, an audio, a graphic, a display element, or visual information.

17. The apparatus of claim 15, wherein the visual workspace comprises a canvas in a zooming user interface (ZUI) environment.

18. The apparatus of claim 15, wherein the presenting of the clusters with the layout template comprises presenting a zoomable presentation of the layout template applied to the plurality of content in the visual workspace.

19. The apparatus of claim 15, wherein a number of clusters determined by the automatic group of the plurality of content is greater than a number of the content placeholders included in the layout template.

20. The apparatus of claim 15, wherein the automatic distribution of the each of the clusters is based on a content creation date and time associated with each of the clusters.

21. The apparatus of claim 15, wherein the memory further includes template property information corresponding to the plurality of layout templates, the template property information including identification of the content placeholders of the layout template, and wherein the processor accesses the template property information associated with the layout template for the automatic distribution of the each of the clusters to the respective content placeholder of the layout template.

22. A non-transitory computer readable medium including instructions, when executed by a processor, causes the processor to perform operations comprising:

automatically grouping a plurality of content included in a visual workspace into one or more clusters, one or more content of the plurality of content being at different spatial position from each other;

automatically locating at least one cluster to a respective content placeholder included in a layout template; and

presenting the clusters with the layout template in accordance with the automatically locating of the clusters.

23. The non-transitory computer readable medium of claim 22, wherein at least one of the plurality of content comprises a text, an image, a video, an audio, a graphic, a display element, or visual information.

24. The non-transitory computer readable medium of claim 22, wherein the visual workspace comprises a canvas in a zooming user interface (ZUI) environment.

25. The non-transitory computer readable medium of claim 22, wherein the presenting of the clusters with the layout template comprises presenting a zoomable presentation of the layout template applied to the plurality of content in the visual workspace.

26. The non-transitory computer readable medium of claim 22, wherein a number of clusters determined by the automatically grouping of the plurality of content is greater than a number of the content placeholders included in the layout template, and wherein the automatically locating of the at least one cluster comprises distributing more than one of the clusters to one of the content placeholder.

27. The non-transitory computer readable medium of claim 22, wherein the automatically grouping of the plurality of content comprises determining each cluster based on at least one of relative spatial position, distance, rotation, size, and distribution among the plurality of content.