Method, system and software for digital media narrative personalization

• US 20040267816A1
• Filed: 04/07/2004
• Published: 12/30/2004
• Est. Priority Date: 04/07/2003
• Status: Active Grant

• Current Assignee: 10Tales, Inc.
• Original Assignee: Sevenecho, LLC
• Inventors: Russek, David J.
• Granted Patent: US 8,478,645 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/285 Clustering or classification
• 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 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06Q 30/00 Commerce
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0271 Personalized advertisement
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06V 20/41 Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items segmenting video sequences G06V20/49
• CPC Class Codes: H04N 21/25883 being end-user demographical data, e.g. age, family status or address arrangements for identifying locations of users in broadcast systems H04H60/52
• CPC Class Codes: H04N 21/4126 The peripheral being portable, e.g. PDAs or mobile phones
• CPC Class Codes: H04N 21/4312 involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
• CPC Class Codes: H04N 21/44218 Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• 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 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/6125 involving transmission via Internet transmission by internet of broadcast information H04H60/82
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Disclosed are a system, method and software to allow individuals or groups of individuals to view personalized digital media narrative. A personal attribute profile is created and stored for each individual and the profile is retrieved each time the individual enters the network or site. The digital media narrative contains digital media assets having attributes selected based upon the individual'"'"'s or group'"'"'s profile. The digital media narrative provides an enhanced, more impacting, and more personal narrative experience to the individual.

Claims

1. A computer based method for providing personalized digital media assets, the method comprising:

receiving a user identification from a user;

retrieving a user profile associated with the user identification, wherein the user profile includes a plurality of user attributes;

initiating transmission of narrative content;

identifying a first personalization trigger point within the narrative content, wherein one or more first digital media assets are associated with the first trigger point; and

in response to the first trigger point, selecting a first digital media asset from the one or more digital media assets for presentation within the narrative content, wherein the selecting is based on one or more of the user attributes.

2. The method of claim 1 wherein the selecting a first digital media asset is further based on information received from the user.

3. The method of claim 1, further comprising:

receiving an input from the user, wherein the input is responsive to the first digital media asset;

identifying a second personalization trigger point within the narrative content, wherein one or more second digital media assets are associated with the second personalization trigger point; and

in response to the second trigger point, selecting a second digital media asset from the one or more second digital media assets based on one or more of the user attributes and the input from the user.

4. The method of claim 1 wherein selecting a digital media asset includes receiving input from a community with which the user is associated, wherein the input is used to further define the user attributes for the user.

5. The method of claim 1 wherein the narrative content is story based.

6. The method of claim 1 wherein each of the digital media assets are associated with one or more media attributes, wherein the media attributes include one or more of affinity, self-narrative, episodic, time sensitive sequence, collective/collaborative, and internal narrative traits preference topology based attributes.

7. A computer based method for providing personalized digital media assets, the method comprising:

receiving a user identification from a user;

retrieving a user profile associated with the user identification, wherein the user profile contains a plurality of user attributes;

receiving a request for narrative content;

initiating transmission of the narrative content;

identifying one or more personalization trigger points, wherein a plurality of digital media assets are associated with each trigger point, and wherein each digital media asset has one or more digital media asset attributes; and

selecting a digital media asset for presentation within the narrative content at at least one trigger point, wherein the selecting is based on enhancing the user experience.

8. The method of claim 7, further comprising:

presenting an interaction opportunity to the user; and

receiving input from the user associated with the interaction opportunity, wherein the input further defines the user attributes.

9. The method of claim 7 wherein the media attributes include one or more of affinity, self-narrative, episodic, time sensitive sequence, collective/collaborative and internal narrative traits preference topology based.

10. The method of claim 7, further comprising:

forming a personal profile for the user based upon the user input; and

storing the personal profile associated with the user.

11. A computer based method for selecting a digital media asset for presentation to a user, the method comprising:

storing digital media asset attributes associated with digital media assets, wherein the digital media asset attributes are classified according to at least one of significance of affinity, self narrating audience generated content classification, defined topologies, time sensitive sequencing, and collective/collaborative classification;

storing an internal narrative perception identification framework comprising user attributes, wherein the user attributes are classified according to at least one of significance of affinity, self narrating audience generated content classification, defined topologies, time sensitive sequencing, and collective/collaborative classification; and

retrieving a set of association rules, wherein the set of association rules provides the basis for selecting an appropriate digital media asset based on a correlation between the digital media asset attributes and the user attributes.

12. A method of optimizing a digital media presentation for the profile of an individual audience member, the method comprising:

retrieving an internal narrative perception identification framework for an individual among a defined group, wherein the internal narrative perception identification framework includes at least one of affinities and attributes;

initiating the presentation of the digital media presentation to the individual; and

selecting, at a trigger point in the presentation of the digital media presentation, a digital media asset for presentation to the individual, wherein the digital media asset is matched to the internal narrative perception identification framework such that the digital media asset creates an enhanced impact on the individual as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

13. The method of claim 12 wherein the affinities include one or more of cognitive, emotional and social affinities.

14. The method of claim 12 wherein the attributes include one or more of self-narrative, episodic, time sensitive sequence, collective/collaborative, and internal narrative traits preference topology attributes.

15. A method of optimizing a digital media presentation for the profile of an individual audience member, the method comprising:

retrieving an internal narrative perception identification framework for an individual among a defined group, wherein the internal narrative perception identification framework includes at least one of affinities and attributes;

initiating a digital media presentation to the individual; and

selecting, at a trigger point in the digital media presentation, a digital media asset for presentation to a defined group of one or more individuals, wherein the digital media asset is matched to the internal narrative perception identification framework, wherein the digital media asset creates an enhanced impact on the group as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

16. A method of optimizing a digital media presentation for the profile of individuals, the method comprising:

retrieving an internal narrative perception identification framework for a group, wherein the internal narrative perception identification framework includes at least one of affinities and attributes for one or more individuals in the group;

initiating a digital media presentation to one or more individuals; and

selecting, at a trigger point in the digital media presentation, a digital media asset for presentation to the one or more individuals, wherein the digital media asset is matched to the internal narrative perception identification framework such that the digital media asset creates an enhanced impact on the one or more individuals as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

17. A system for providing personalized digital media assets, the system comprising:

a server;

a computer-readable storage medium operably connected to the server;

a device, remote from the server, wherein the device includes an input device that receives input from the user and a presentation device that presents digital media content to the user; and

at least one interface between the server and the remote device, wherein the interface enables two-way communication between the server and the remote device,

wherein the computer-readable storage medium contains one or more programming instructions for performing a method of providing personalized digital media assets, the method comprising;

receiving a user identification from a user via the input device,

retrieving a user profile associated with the user identification from the computer-readable storage medium, wherein the user profile contains a plurality of user attributes,

initiating transmission of digital media content at the presentation device,

identifying at least one personalization trigger point within the digital media content, wherein each trigger point is associated with a plurality of digital media assets, wherein each digital media asset has one or more digital media asset attributes, and

selecting a digital media asset to insert at a trigger point within the digital media content, wherein the digital media asset enhances the user'"'"'s experience.

18. The system of claim 17 wherein selecting a digital media asset further comprises:

receiving input from the user via the interface, wherein the input is used to further define the user attributes.

19. The system of claim 17 wherein selecting a digital media asset further comprises:

receiving input from one or more members of a community with which the user is associated via the interface, wherein the input is used to further define the user attributes.

20. The system of claim 17 wherein the digital media content is narrative, story based content.

21. The system of claims 17 wherein the attributes include one or more of affinity, self-narrative, episodic, time sensitive sequence, collective/collaborative, and internal narrative traits preference topology based.

22. The system of claim 17 wherein the computer-readable storage medium further contains one or more programming instructions for receiving a request for digital media content via the input device.

23. The system of claim 17 wherein the computer-readable storage medium further contains one or more programming instructions for performing the following:

presenting an interaction opportunity to the user via the presentation device; and

receiving input from the user associated with the interaction opportunity via the input device, wherein the input further defines the user attributes,

24. The system of claim 23 wherein the computer-readable storage medium further contains one or more programming instructions for performing the following:

generating a personal profile for the user based upon the user input; and

storing the personal profile associated with the user in the computer-readable storage medium.

25. A computer system comprising:

a storage medium used to store a plurality of digital media asset attributes associated with one or more digital media assets and an internal narrative perception identification framework, wherein the internal narrative perception identification framework contains one or more user attributes; and

a retrieval module used to retrieve one or more association rules, wherein the one or more association rules provide the basis for selecting an appropriate digital media asset based on a correlation between the digital media asset attributes and the internal narrative perception identification framework attributes.

26. The computer system of claim 25 wherein the digital media asset attributes are classified according to at least one of significance of affinity, self narrating audience generated content classification, defined topologies, time sensitive sequencing, and collective/collaborative classification.

27. The computer system of claim 25 wherein the internal narrative perception identification framework user attributes are classified according to at least one of significance of affinity, self narrating audience generated content classification, defined topologies, time sensitive sequencing, and collective/collaborative classification.

28. A system for optimizing a digital media presentation for a profile of an individual audience member, the system comprising:

a server;

a computer-readable storage medium operably connected to the server;

a device, remote from the server, wherein the device includes a presentation device that presents digital media content to the user; and

at least one interface between the server and the remote device, wherein the computer-readable storage medium contains one or more programming instructions for optimizing a digital media presentation for a profile of an individual audience member, the method comprising;

retrieving an internal narrative perception identification framework for an individual among a defined group from the computer-readable storage medium,

initiating a digital media presentation to the individual at the presentation device,

selecting, at a trigger point in the digital media presentation, a digital media asset for presentation to the individual, wherein the digital media asset is matched to the internal narrative perception identification framework such that the digital media asset creates an enhanced impact on the individual as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

29. The system of claim 28 wherein the internal narrative perception identification framework includes at least one of affinities and attributes.

30. The system of claim 29 wherein the affinities include one or more of cognitive, emotional and social affinities.

31. The system of claim 29 wherein the attributes include one or more of self-narrative, episodic, time sensitive sequence, collective/collaborative, and internal narrative traits preference topology.

32. A system for optimizing a digital media presentation for a profile of an individual, the system comprising:

a server;

a computer-readable storage medium operably connected to the server;

a device, remote from the server, wherein the device includes a presentation device that presents digital media content to the user; and

at least one interface between the server and the remote device,

wherein the computer-readable storage medium contains one or more programming instructions for optimizing a digital media presentation for a profile of an individual, the method comprising;

retrieving an internal narrative perception identification framework for an individual among a defined group from the computer-readable storage medium,

initiating a digital media presentation to the individual at the presentation device,

selecting, at a trigger point in the digital media presentation, a digital media asset for presentation to a defined group of one or more individuals, wherein the digital media asset is matched to the internal narrative perception identification framework such that the digital media asset creates an enhanced impact on the group as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

33. The system of claim 32 wherein the internal narrative perception identification framework includes one or more of affinities and attributes.

34. The system of claim 33 wherein the affinities include one or more of cognitive, emotional and social affinities.

35. The system of claim 33 wherein the attributes include one or more of self-narrative, episodic, time sensitive sequence, collective/collaborative, and internal narrative traits preference topology.

36. A system of optimizing a digital narrative presentation for a profile of an individual audience member, the system comprising:

a server;

a computer-readable storage medium operably connected to the server;

a device, remote from the server, wherein the device includes a presentation device that presents digital media content to the user; and

at least one interface between the server and the remote device,

wherein the computer-readable storage medium contains one or more programming instructions for optimizing a digital media presentation for a profile of an individual audience member, the method comprising;

retrieving an internal narrative perception identification framework for a group from the computer-readable storage means,

initiating a digital narrative presentation to the individual via the presentation device, and

selecting, at a trigger point in the digital narrative presentation, a digital narrative asset for presentation to one or more individuals in the group, wherein the digital narrative asset is matched to the internal narrative perception identification framework such that the digital narrative presentation creates an enhanced impact on the one or more individuals as compared to selection of an alternate digital media asset selected without knowledge and utilization of the internal narrative perception identification framework.

37. The system of claim 36 wherein the internal narrative perception identification framework includes at least one of affinities and attributes.

38. A system comprising:

a server;

a computer-readable storage medium, connected to the server, that stores one or more of a digital media presentation having one or more trigger points and an internal narrative perception identification framework for a user, wherein a digital media asset is selected at each trigger point in the digital media presentation, wherein the internal narrative perception identification framework includes at least one of affinities and attributes for the user;

a controller that controls access to the storage device, wherein the controller is an operator that controls access to the storage device based upon information input by the user at the input device of the remote device;

a device, remote from the server, wherein the device includes an input device that receives input from the user and a presentation device that presents digital media to the user; and

at least one interface between the server and the remote device, wherein the interface enables two-way communication between the server and the remote device, wherein information sent from the remote device via the at least one interface is utilized by the controller to control access to the computer-readable storage medium.