Method, system and software for associating atributes within digital media presentations

• US 20040199923A1
• Filed: 04/07/2004
• Published: 10/07/2004
• Est. Priority Date: 04/07/2003
• Status: Active Grant

• Current Assignee: 10Tales, Inc.
• Original Assignee: Sevenecho, LLC
• Inventors: Russek, David J.
• Granted Patent: US 8,856,030 B2
• Time in Patent Office: Days
• US Class Current: 719/310
• 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 associate attributes with digital media assets. Digital media contains specific assets, such as images, that can be replaced with other assets. The system, method and software permit the association of attributes with specific assets. The association of attributes and assets enables the provision of content that is enhanced and more impacting for a user.

Claims

1. A method of associating attributes with digital media assets, the method comprising:

identifying a digital media asset;

associating at least one digital media asset attribute with the digital media asset as an association, wherein the at least one digital media asset attribute is 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

storing the association of the digital media asset with the at least one digital media asset attribute.

2. The method of claim 1 wherein the digital media asset includes one or more of a foreground image, a background image or audio.

3. The method of claim 1 wherein the storing is performed on a server.

4. The method of claim 1, further comprising:

receiving digital media content having a digital media asset.

5. A system for associating attributes with digital media assets, the system comprising:

a server;

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

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

identifying a digital media asset,

associating at least one digital media asset attribute with the digital media asset as an association, wherein the digital media asset attribute is classified according to at least one of significance of affinity, self replicable audience generated content classification, defined topologies, time sensitive sequencing, and collective/collaborative classification, and

storing the association of the digital media asset with the at least one digital media asset attribute in the computer-readable storage medium.

6. The system of claim 5 wherein the digital media asset includes one or more of a foreground image, a background image or audio.

7. The system of claim 5 wherein the computer-readable storage medium further contains one or more programming instructions for performing the following:

receiving digital media content having a digital media asset; and

storing the digital media content in the computer-readable storage medium.