Image and other analysis for contextual ads

• US 20060179453A1
• Filed: 02/07/2005
• Published: 08/10/2006
• Est. Priority Date: 02/07/2005
• Status: Abandoned Application

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Goodman, Joshua T., Meek, Christopher A., Kadie, Carl M.
• Application Number:
  US11/052,394
• Publication Number:
  US 20060179453A1
• Time in Patent Office: Days
• US Class Current: 725/34
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: H04N 21/4331 Caching operations, e.g. of an advertisement for later insertion during playback
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/44016 involving splicing one content stream with another content stream, e.g. for substituting a video clip
• CPC Class Codes: H04N 21/84 Generation or processing of descriptive data, e.g. content descriptors systems specially adapted for using meta-information in broadcast systems H04H60/73
• CPC Class Codes: H04N 21/8405 represented by keywords
• CPC Class Codes: H04N 7/163 by receiver means only

Abstract

The subject invention provides a unique system and method that facilitates providing contextual advertisements based on one or more identified terms extracted from a non-text object such as an image, video, and/or audio object. Terms can also be identified and extracted from metadata associated with or other data derived from text objects such as email messages and attached text documents. One or more recognition techniques can be employed to identify data found in the non-text object (including the metadata or any other data derived therefrom) and data found in the metadata associated with the text object. Once the identified terms are analyzed, an appropriate contextual advertisement can be presented to the user. If the content of the non-text or text object is deemed of a negative nature, no contextual advertisement is provided.

Claims

1. A contextual-based advertising system comprising:

an extraction component that extracts and analyzes at least a portion of data from at least one of an image object, a video object, an audio object, and the metadata section of a file; and

a presentation component that determines at least one contextual advertisement to present to a user based at least in part on information extracted from the image, video, or audio object.

2. The system of claim 1, the data extracted comprises data derived from the video object.

3. The system of claim 1, the data extracted comprises data derived from the audio object.

4. The system of claim 1, the data is received via a messaging system comprising at least one of instant messaging, chat, email, or file sharing.

5. The system of claim 1, the data is stored on a remote file storage system which serves the advertisements.

6. The system of claim 1, wherein audio data is targeted via speech recognition.

7. The system of claim 1, wherein the audio data is targeted via matching fingerprints to known content.

8. The system of claim 1, the presentation component analyzes at least a portion of user profile information to facilitate selecting the contextual advertisement.

9. The system of claim 1, the image object comprises any one of the following:

picture, photograph, scene, video, drawing, and facsimile image.

10. The system of claim 1, further comprising a sensitivity sensor that verifies that a presentation of a contextual advertisement is appropriate.

11. The system of claim 1, the extraction component extracts data from at least one of a non-text object and a text object, the non-text object comprising any one of an image object or an audio object and the text object comprising encrypted messages, HTML messages, binary-encoded messages, documents, computer-based files, and application files.

12. The system of claim 1, the extraction component extracts a text portion of the metadata comprising object name, author, keywords, or other textual metadata.

13. The system of claim 1, the metadata comprising at least one of the following:

object type, creation date, duration, object size, last date modified, object recording type, compression type, GPS coordinates, time of recording, object format, and/or watermarks.

14. A method that facilitates contextual-based advertising comprising:

extracting at least a portion of data from a non-text object;

analyzing the data extracted from the non-text object to ascertain its content; and

determining at least one contextual advertisement to present to a user based at least in part on the content of the data extracted from the non-text object.

15. The method of claim 14, the non-text object comprises an image object.

16. The method of claim 14, the non-text object comprises an audio object.

17. The method of claim 14, the non-text object comprises a video object.

18. The method of claim 14, the data extracted from the non-text object comprises content in the non-text object, metadata associated with the object, and data derived therefrom.

19. The method of claim 14, further comprising analyzing at least a portion of user profile information.

20. A contextual-based advertising system comprising:

means for extracting and analyzing at least a portion of data from at least one of an image object, a video object, an audio object, and the metadata section of a file; and

means for determining at least one contextual advertisement to present to a user based at least in part on information extracted from the image, video, or audio object.