Method for configuring media-playing sets

• US 20070245373A1
• Filed: 03/31/2006
• Published: 10/18/2007
• Est. Priority Date: 03/31/2006
• Status: Abandoned Application

• Current Assignee: Sharp Laboratories of America Incorporated (Hon Hai Precision Industry Co., Ltd.)
• Original Assignee: Sharp Laboratories of America Incorporated (Hon Hai Precision Industry Co., Ltd.)
• Inventors: Shivaji-Rao, Vishnu-Kumar, Hallberg, Bryan, Gil, Fernando
• Application Number:
  US11/395,507
• Publication Number:
  US 20070245373A1
• Time in Patent Office: Days
• US Class Current: 725/35
• CPC Class Codes: H04H 40/18 Arrangements characterised by circuits or components specially adapted for receiving
• CPC Class Codes: H04H 60/13 Arrangements for device control affected by the broadcast information
• CPC Class Codes: H04H 60/52 of users
• CPC Class Codes: H04H 60/65 for using the result on users' side
• CPC Class Codes: H04H 60/73 using meta-information
• CPC Class Codes: H04H 60/76 Arrangements characterised by transmission systems other than for broadcast, e.g. the Internet for broadcast H04H20/65
• CPC Class Codes: H04N 21/4524 involving the geographical location of the client retrieval from the Internet by querying based on geographical locations G06F16/9537; systems specially adapted for using geographical information in broadcast systems H04H60/70; protocols in which the network application is adapted for the location of the user terminal in communication control or processing H04L67/52; services making use of the location of users or terminals in wireless networks H04W4/02; locating users or terminals in wireless networks H04W64/00
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/4751 for defining user accounts, e.g. accounts for children
• CPC Class Codes: H04N 21/4755 for defining user preferences, e.g. favourite actors or genre retrieval personalisation and generation of user profiles for the retrieval of video data G06F16/739; user profiles in network data switching protocols H04L67/306
• CPC Class Codes: H04N 21/8166 involving executable data, e.g. software arrangements for executing specific programs G06F9/44; broadcasting computer programmes in broadcast systems H04H20/91; involving the movement of software or configuration parameters H04L67/34

Abstract

An exemplary method to help end users configure their respective media playing sets includes prompting the user for their geographical location, transmitting the location to a remote processing site which identifies broadcast settings particularly suited for the location, and adjusting the set remotely from the site to fully implement automatically the settings. Another such method includes establishing a list of viewing categories, identifying preferred broadcast settings for each category, determining preferred categories for previous day/time combinations, predicting most likely to favored categories and settings, and automatically implementing such settings when the corresponding day/time combination is present. Yet another such method includes characterizing a particular program segment by at least one broadcast attribute, determining those broadcast settings most favorable for this segment based on such characterizing, and adjusting the set automatically for the user to implement these most favorable broadcast settings for the segment.

Claims

1. A method for helping end users configure their respective media-playing sets comprising the steps of:

(a) prompting the user to identify their respective geographical location;

(b) transmitting information specifying said location to a processing site remote from the set;

(c) identifying at said site at least one broadcast setting particularly suited for said location, and

(d) adjusting the set remotely from said site so as to fully implement automatically said at least one broadcast setting.

2. The method of claim 1 including identifying at said site a listing of channel settings particularly suited for said location.

3. The method of claim 1 including identifying at said site a clock setting particularly suited for said location.

4. The method of claim 1 including prompting the user for their zip code.

5. The method of claim 1 including identifying a channel setting particularly suited for said location.

6. The method of claim 5 further including identifying a preferred picture setting corresponding to said channel setting.

7. A method for helping end users configure their respective media-playing sets comprising the steps of:

(a) establishing a list of viewing categories and identifying a preferred broadcast setting for each viewing category;

(b) determining preferred ones of said viewing categories for the user for previous day-of-week and time-of-day combinations and, based thereon, predicting most likely to be favored ones of said viewing categories for the user for pending day-of-week and time-of-day combinations; and

(c) based on above steps, predicting a most likely to be favored broadcast setting for the user for each of various pending day-of-week and time-of-day combinations and automatically implementing said most likely to be favored broadcast setting at said set when the corresponding day-of-week and time-of-day combination is present.

8. The method of claim 7 further including identifying a list of the most preferred broadcast settings for each viewing category

9. The method of claim 8 further including identifying those broadcast settings most preferred by broadcast experts.

10. The method of claim 8 further including identifying those broadcast settings most preferred based on accumulated experience of other users.

11. The method of claim 10 further including automatically updating continuously said list through dynamically networking with said other users. (dynamic means automatic info flow)

12. The method of claim 10 further including filtering out of said list those broadcast settings most preferred by predetermined categories of said other users.

13. The method of claim 7 further including identifying a group of mutually integrable preferred broadcast settings for each viewing category.

14. The method of claim 13 wherein said group of mutually integrable preferred broadcast settings include broadcast settings taking a range of values.

15. The method of claim 13 wherein said group includes a channel setting and a picture setting

16. The method of claim 13 further including predicting a group of mutually integrable most likely to be favored broadcast settings for the user for each of various pending day-of-week and time-of-day combinations.

17. The method of claim 16 further including automatically implementing a broadcast solution at said set where said broadcast solution is simultaneously comprised of said mutually integrable most likely to be favored broadcast settings of said group.

18. The method of claim 17 further including automatically implementing a second broadcast solution at said set such that the user can select either solution

19. The method of claim 18 wherein each of said broadcast solutions include the same channel setting and a different picture setting, said picture settings including the most likely to be favored and next most likely to be favored picture settings for the viewing category to which said channel setting belongs.

20. The method of claim 7 further including identifying a next most preferred broadcast setting for each viewing category mutually exclusive in relation to said preferred broadcast setting.

21. The method of claim 20 further including predicting a next most likely to be favored broadcast setting for the user mutually exclusive in relation to said most likely to be favored broadcast setting.

22. The method of claim 21 further including automatically implementing said next most likely to be favored broadcast setting at said set in the event the user requests a different option.

23. The method of claim 7 further including identifying a ranking of mutually exclusive broadcast settings for each viewing category indicating relative ranking of said mutually exclusive broadcast settings covering a most preferred to a least preferred.

24. The method of claim 23 wherein said ranking includes a first, a second, and a third channel setting.

25. The method of claim 7 further including predicting said most likely to be favored ones of said viewing categories for said user based on accumulated experience of the user.

26. The method of claim 7 further including predicting said most likely to be favored ones of said viewing categories for said user based on accumulated experience of other users.

27. The method of claim 26 further including relying on said accumulated experience of those other users whose preferred viewing preferences for previous day-of-week and time-of-day combinations most closely match those of the user

28. The method of claim 27 further including determining those other users by using a statistical clustering algorithm.

29. The method of claim 7 further including providing a remote site and automatically implementing remotely said most likely to be favored broadcast setting.

30. The method of claim 29 further including simultaneously maintaining any broadcast setting originally set by the user to enable the user to choose between said original and most likely to be favored broadcast settings.

31. A method for helping end users configure their respective media-playing sets comprising the steps of:

(a) characterizing a particular program segment by at least one broadcast attribute;

(b) determining those broadcast settings most favorable for said particular program segment based on said characterizing step; and

(c) adjusting said set automatically for said user to implement said most favorable broadcast settings for said particular program segment.

32. The method of claim 31 further including characterizing a particular program segment currently being broadcast

33. The method of claim 31 further including characterizing an upcoming particular program segment by at least one anticipated broadcast attribute.

34. The method of claim 31 wherein said at least one broadcast attribute includes an attribute taken from the following group:

aspect ratio, genre, animation, segment duration, and segment creation date.

35. The method of claim 31 further including estimating the creation date of said particular program segment by analyzing metadata associated with said segment.

36. The method of claim 31 further including inferring said at least one broadcast attribute from compiled data available for said particular program segment.

37. The method of claim 31 further including deriving said at least one broadcast attribute by evaluating at least one broadcast characteristic of said set as said particular program segment is being broadcast.

38. The method of claim 31 further including relying on an expert system to determine those broadcast settings most favorable for said particular program segment.

39. The method of claim 38 further including relying on an automated expert system.

40. The method of claim 39 further including determining those broadcast settings deemed to be most favorable based on the prior experience of the user.

41. The method of claim 39 further including determining those broadcast settings deemed to be most favorable based on the prior experience of other users.

42. The method of claim 41 further including giving greater weight to the experience of those other users who have actually selected previously program segments substantially equivalent in terms of said at least one broadcast attribute to said particular program segment.

43. The method of claim 41 further including filtering out the experience of those other users falling into a suspect category.

44. The method of claim 31 further including adjusting said set automatically whenever one program segment concludes and another program segment begins.

45. The method of claim 41 further providing a remote support site and remotely adjusting said set from said site.

46. The method of claim 41 further including providing a software agent with said set and locally adjusting said set by said agent.

47. The method of claim 45 further including providing a memory cache with said set in which different preselected groups of settings are stored so that said agent, in adjusting the set, can call on the particular group comprised of settings most closely matching those determined to be most favorable.

48. Indexing the memory cache by assigning different identifier values to different program segments and assigning a different group of settings to each different identifier value such that there are fewer different groups of settings than there are different program segments.