DYNAMIC AD SELECTION FOR AD DELIVERY SYSTEMS

• US 20120004899A1
• Filed: 07/04/2010
• Published: 01/05/2012
• Est. Priority Date: 07/04/2010
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Arshi, Taymoor
• Application Number:
  US12/830,332
• Publication Number:
  US 20120004899A1
• Time in Patent Office: Days
• US Class Current: 704/8
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Systems and systems are disclosed for a portable device that employs voice recognition and/or encoding/decoding techniques which may be employed to gather, analyze and identify the media'"'"'s content class, language being spoken, topic of conversation and/or other information which may be useful in selecting targeted advertisements. The portable device uses this information to produce dynamic research data descriptive of the nearby natural languages and/or content. Once the portable device has produced dynamic research data, it communicates any dynamic research data to a centralized server system server where the dynamic research data is processed and used to select the one or more most suitable targeted advertisement. The selected targeted advertisement is then communicated to and/or inserted in the ad delivery device. Alternatively, the portable device may communicate dynamic research data directly to the ad delivery device where multiple advertisements for one or more products in various languages are stored.

Claims

1. A method for controlling delivery of media data, comprising the steps of:

receiving signature data from a portable device, wherein the signature data characterizes the media data;

receiving language data from the portable device, wherein the language data indicates a language being spoken in the vicinity of the portable device;

determining a language component for the media data using at least a portion of the signature data;

determining if the language data is different from the language component for the media data; and

communicating a control signal for selecting new media data, based on the language data, if the language data is different from the language component for the media data.

2. The method of claim 1, wherein the signature data is formed using at least one of (a) time-domain or (b) frequency-domain variations of the media data.

3. The method of claim 1, where in the signature data is formed using signal-to-noise ratios that are processed for one of (a) a plurality of predetermined frequency components of the media data, or (b) data representing characteristics of the media data.

4. The method of claim 1, wherein the signature data is obtained at least in part from code in the media data, wherein the code comprises a plurality of code components reflecting characteristics of the media data.

5. The method of claim 1, wherein the language data is formed from a statistical distribution of coefficients obtained from a transformed sequence of n-dimensional real-valued vectors.

6. The method of claim 1, wherein the language data is formed using one of (a) parallel phone recognition and language modeling, (b) gaussian mixture model, and (c) gaussian mixture model incorporating shifted delta cepstra features.

7. The method of claim 1, wherein the media data comprises multimedia tagging data.

8. The method of claim 7, wherein the multimedia tagging data comprises one of (a) folsonomy tagging, (b) MPEG-7 tagging, (c) commsonomy tagging, or (d) MPEG-7 multimedia tagging.

9. The method of claim 7, wherein the control signal is based at least in part on the multimedia tagging data.

11. The system of claim 1, wherein the signature data from the portable device is formed using at least one of (a) time-domain or (b) frequency-domain variations of the media data.

12. The system of claim 1, where in the signature data from the portable device is formed using signal-to-noise ratios that are processed for one of (a) a plurality of predetermined frequency components of the media data, or (b) data representing characteristics of the media data.

13. The system of claim 1, wherein the signature data from the portable device is obtained at least in part from code in the media data, wherein the code comprises a plurality of code components reflecting characteristics of the media data.

14. The system of claim 1, wherein the language data from the portable device is formed from a statistical distribution of coefficients obtained from a transformed sequence of n-dimensional real-valued vectors.

15. The system of claim 1, wherein the language data from the portable device is formed using one of (a) parallel phone recognition and language modeling, (b) gaussian mixture model, and (c) gaussian mixture model incorporating shifted delta cepstra features.

16. The system of claim 1, wherein the media data comprises multimedia tagging data.

17. The system of claim 7, wherein the multimedia tagging data comprises one of (a) folsonomy tagging, (b) MPEG-7 tagging, (c) commsonomy tagging, or (d) MPEG-7 multimedia tagging.

18. The system of claim 7, wherein the control signal is based at least in part on the multimedia tagging data.

10. A system for controlling delivery of media data, comprising:

A centralized server system comprising a communication input that receives (a) signature data from a portable device, wherein the signature data characterizes the media data, and (b) language data from the portable device, wherein the language data indicates a language being spoken in the vicinity of the portable device;

wherein the centralized server system determines a language component for the media data using at least a portion of the signature data, and further determines if the language data is different from the language component for the media data; and

wherein the centralized server system comprises a communication output that communicates a control signal for selecting new media data, based on the language data, if the language data is different from the language component for the media data.

19. A method for producing dynamic research data in a portable device, comprising the steps of:

receiving media data at an input of the portable device;

producing signature data characterizing the media data, wherein the signature data is derived from at least a part of the media data;

producing language data, wherein the language data indicates a language being spoken in the vicinity of the portable device;

determining a language component for the media data using at least a portion of the signature data; and

transmitting the signature data and language component.

20. The method of claim 19, further comprising the step of receiving multimedia tagging data corresponding to the media data, and transmitting the multimedia tagging data together with the signature data and language component.