Visual identifiers for digital data

• US 20070033214A1
• Filed: 08/05/2005
• Published: 02/08/2007
• Est. Priority Date: 08/05/2005
• Status: Abandoned Application

• Current Assignee: EGG Story Creative Production Pte Limited
• Original Assignee: EGG Story Creative Production Pte Limited
• Inventors: Neumann, Ulrich, Lewis, John, Fong, Nickson, Rosenholtz, Ruth
• Application Number:
  US11/197,840
• Publication Number:
  US 20070033214A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 3/04817 using icons graphical or visual programming using iconic symbols G06F8/34

Abstract

A method of generating a pictorial identifier for a computer object. The method comprises generating a pictorial identifier according to a modelling approach. The modelling approach is based on at least a part of a textual identifier of the computer object wherein the part of the textual identifier is not tied to any type identifiers associated with the computer object and the modelling approach is generally characterised by generating pictorial identifiers being visually different from pictorial identifiers generated from substantially different textual identifiers.

Claims

1. A method of generating a pictorial identifier for a computer object, the method comprising:

generating a pictorial identifier according to a modelling approach based on at least a part of a textual identifier of the computer object;

wherein the part of the textual identifier is not tied to any type identifiers associated with the computer object and the modelling approach is generally characterised by generating pictorial identifiers that are visually different from pictorial identifiers generated from substantially different textual identifiers.

2. The method as claimed in claim 1 wherein the part of the textual identifier comprises part of a name identifier of the computer object and/or part of the content of the computer object, said parts not being tied to a type identifier associated with the computer object.

3. The method as claimed in claim 1 wherein the modelling approach is generally characterised by generating pictorial identifiers resembling pictorial identifiers generated from substantially similar textual identifiers.

4. The method as claimed in claim 3 wherein the level of similarity between textual identifiers needed to generate a similar pictorial identifier is controlled by an adjustable threshold.

5. The method as claimed in claim 1 wherein the modelling approach is based on the part of the textual identifier as well as a part of the textual identifier tied to a type identifier associated with the computer object.

6. The method as claimed in claim 5 wherein the modelling approach involves determining which computer applications are associated with the type identifier so that the similarity arising from textual identifiers being tied to type identifiers associated with similar computer applications is recognised by the modelling approach.

7. The method as claimed in claim 6 wherein determining which computer applications are associated with the type identifier includes querying a file type association module.

8. The method as claimed in claim 1 wherein the modelling approach is based on the entire textual identifier.

9. The method as claimed in claim 1 including proactively generating pictorial identifiers according to the modelling approach upon textual identifiers of computer objects being modified or created.

10. The method as claimed in claim 1 including generating pictorial identifiers for a plurality of computer objects according to the modelling approach, upon the user opening a directory structure containing the objects.

11. The method as claimed in claim 1 wherein the modelling approach is further characterised by generating pictorial identifiers of intermediate complexity.

12. The method as claimed in claim 1 wherein the modelling approach is further characterised by generating pictorial identifiers that are distinctive on an overview scale and a thumbnail scale.

13. The method as claimed in claim 1 including sorting a plurality of textual identifiers into sub-groups according to the similarity of the textual identifiers, the modelling approach being additionally based on the structure of the sub-groups.

14. The method as claimed in claim 13 wherein sorting involves determining the closest match among the textual identifiers and creating a new sub-group if the distance between the closest match and the textual identifier is greater than a threshold.

15. The method as claimed in claim 13 wherein generating involves mutating a pictorial identifier associated with the sub-group into which the textual identifier of the computer object has been sorted.

16. The method as claimed in claim 1 wherein the modelling approach is further characterised by generating pictorial identifiers such that they comprise a plurality of line segments.

17. A method of associating a pictorial identifier with a computer object comprising:

processing at least a part of a textual identifier of the computer object, wherein the part of the textual identifier is not tied to any type identifiers associated with the computer object; and

associating a pictorial identifier with the computer object such that the pictorial identifier is visually different from pictorial identifiers associated with substantially different textual identifiers of other computer objects.

18. The method as claimed in claim 17 wherein the modelling approach is based on the part of the textual identifier as well as a part of the textual identifier tied to a type identifier associated with the computer object.

19. The method as claimed in claim 17 wherein the pictorial identifier resembles pictorial identifiers associated with substantially similar textual identifiers of yet other computer objects.

20. The method as claimed in claim 19 wherein the level of similarity between textual identifiers needed to generate a similar pictorial identifier is controlled by an adjustable threshold.

21. The method as claimed in claim 17 wherein the modelling approach involves determining which computer applications are associated with the type identifier so that the similarity arising from textual identifiers being tied to type identifiers associated with similar computer applications is recognised by the modelling approach.

22. The method as claims in claim 17 wherein the modelling approach is based on the entire textual identifier.

23. The method as claimed in claim 17 including proactively generating pictorial identifiers according to the modelling approach upon textual identifiers of computer objects being modified or created.

24. The method as claimed in claim 17 wherein the modelling approach is further characterised by generating pictorial identifiers such that they comprise a plurality of line segments.

25. A method of generating a pictorial identifier for a computer object, the method comprising:

generating a pictorial identifier according to a modelling approach based on at least a part of a file name preceding a file name extension associated with the computer object, the modelling approach being generally characterised by generating pictorial identifiers resembling pictorial identifiers generated from substantially similar name identifiers and being visually different from pictorial identifiers generated from substantially different name identifiers.

26. The method as claimed in claim 25 wherein the file name extension comprises a type identifier consisting of a file name suffix in the form “

.*”

, where the asterisk represents any number of acceptable characters excluding the period symbol.

27. The method as claimed in claim 25 wherein the pictorial identifier is generated based on the entire file name which file name includes the file name extension.

28. The method as claimed in any one of claim 25 including proactively generating pictorial identifiers according to the modelling approach upon name identifiers of computer objects being modified or created.

29. The method as claimed in claim 25 including generating pictorial identifiers for a plurality of computer objects according to the modelling approach, upon the user opening a directory structure containing the objects.

30. The method as claimed in claim 25 including sorting a plurality of name identifiers into sub-groups according to the similarity of the name identifiers, the modelling approach being additionally based on the structure of the sub-groups.

31. The method as claimed in claim 30 wherein sorting involves determining the closest match among the name identifiers and creating a new sub-group if the distance between the closest match and the name identifier is greater than a threshold.

32. The method as claimed in claim 30 wherein generating involves mutating a pictorial identifier associated with the sub-group into which the name identifier of the computer object has been sorted.

33. The method as claimed in claim 25 wherein the modelling approach is further characterised by generating pictorial identifiers such that they comprise a plurality of line segments.

34. A method comprising:

providing a pictorial identifier generated according to a modelling approach based on at least a part of a textual identifier of the computer object;

wherein the part of the textual identifier is not tied to any type identifiers associated with the computer object and the modelling approach is generally characterised by generating pictorial identifiers resembling pictorial identifiers generated from substantially similar textual identifiers and being visually different from pictorial identifiers generated from substantially different textual identifiers.

35. The method as claimed in claim 34 wherein the pictorial identifier is provided on a display.

36. The method as claimed in claim 34 including sorting a plurality of textual identifiers into sub-groups according to the similarity of the textual identifiers, the modelling approach being additionally based on the structure of the sub-groups.

37. The method as claimed in claim 36 wherein sorting involves determining the closest match among the textual identifiers and creating a new sub-group if the distance between the closest match and the textual identifier is greater than a threshold.

38. The method as claimed in claim 36 wherein generating involves mutating a pictorial identifier associated with the sub-group into which the textual identifier of the computer object has been sorted.

39. A system for generating a pictorial identifier for a computer object, the system comprising:

means for generating a pictorial identifier according to a modelling approach based on at least a part of a textual identifier of the computer object, the part of the textual identifier not being tied to any type identifiers associated with the computer object; and

means for ensuring that the pictorial identifier generated is visually different from pictorial identifiers generated from substantially different textual identifiers.

40. The system as claimed in claim 39 wherein the modelling approach is based upon on the part of the textual identifier as well as a part of the textual identifier tied to a type identifier associated with the computer object.

41. The system as claimed in claim 39 wherein the means for ensuring ensures that the pictorial identifier generated resembles pictorial identifiers generated from substantially similar textual identifiers.

42. The system as claimed in claim 41 including threshold means for controlling the level of similarity between textual identifiers needed to generate a similar pictorial identifier, according to an adjustable threshold.

43. The system as claimed in claim 39 including means for determining which computer applications are associated with the type identifier so that the similarity arising from textual identifiers being tied to type identifiers associated with similar computer applications is recognised by the modelling approach.

44. The system as claimed in claim 39 wherein the modelling approach is based on the entire textual identifier.

45. The system as claimed in claim 39 wherein the means for determining comprises means for querying a file type association module.

46. The system as claimed in claim 39 including means for proactively generating pictorial identifiers according to the modelling approach, upon textual identifiers of computer objects being modified or created.

47. The system as claimed in claim 39 including generating pictorial identifiers for a plurality of computer objects according to the modelling approach, upon the user opening a directory structure containing the objects.

48. The system as claimed in claim 39 wherein the means for generating is characterised by generating the pictorial identifiers of intermediate complexity.

49. A system as claimed in claim 39 wherein the means for generating is characterised by generating pictorial identifiers that are distinctive on a thumbnail scale and an icon scale.

50. A system as claimed in claim 39 including means for sorting a plurality of textual identifiers into sub-groups according to the similarity of the textual identifiers, the means for sorting being coupled to the means for generating such that the pictorial identifier generated is based on the structure of the sub-groups.

51. A system as claimed in claim 50 wherein the means for sorting includes means for determining the closest match among the textual identifiers and mean for creating a new sub-group if the distance between the closest match and the textual identifier is greater than a threshold.

52. A system as claimed in claim 50 including means for mutating a pictorial identifier associated with the sub-group into which the textual identifier of the computer object has been sorted.

53. A system as claimed in claim 39 wherein the means for generating is characterised by generating the pictorial identifier such that the identifier comprises a plurality of line segments.