Targeted content acquisition using image analysis

• US 8,737,688 B2
• Filed: 02/09/2012
• Issued: 05/27/2014
• Est. Priority Date: 02/10/2011
• Status: Active Grant

• Current Assignee: William A. Murphy
• Original Assignee: William A. Murphy
• Inventors: Murphy, William A.
• Primary Examiner(s): Fitzpatrick, Atiba O
• Assistant Examiner(s): JAMES, THOMAS AIDEN
• Application Number:
  US13/369,638
• Publication Number:
  US 20120207349A1
• Time in Patent Office: 838 Days
• Field of Search: None
• US Class Current: 382/103
• CPC Class Codes: G06F 16/583 using metadata automatically derived from the content
• CPC Class Codes: G06V 20/30 in albums, collections or shared content, e.g. social network photos or video

Abstract

A method is provided in which a tag is affixed to a known individual that is to be identified within a known field of view of an image capture system. The tag is a physical tag comprising at least a known feature. Subsequent to affixing the tag to the known individual, image data is captured within the known field of view of the image capture system, which is then provided to a processor. Image analysis is performed on the captured image data to detect the at least a known feature. In dependence upon detecting the at least a known feature, an occurrence of the known individual within the captured image data is identified.

Claims

1. A method comprising:

affixing a first tag to a first known individual and affixing a second tag to a second known individual, the first tag comprising a uniquely identifiable first feature and the second tag comprising a uniquely identifiable second feature, and each one of the first tag and the second tag having associated therewith a predetermined image-forwarding rule;

subsequent to affixing the first tag to the first known individual and affixing the second tag to the second known individual, capturing image data within a known field of view of an image capture system;

using image analysis, identifying within the captured image data the first tag and the second tag, based on the uniquely identifiable first feature and the uniquely identifiable second feature, respectively; and

processing the captured image data in accordance with the image-forwarding rule associated with the first tag and the image-forwarding rule associated with the second tag,

wherein processing the captured image data comprises;

cropping a first portion of the captured image data containing the first known individual when the image-forwarding rule associated with the first tag comprises a forwarding denial instruction; and

forwarding to a destination a second portion of the captured image data containing the second known individual, when the image-forwarding rule associated with the second tag comprises an indication of the destination and an authorization for forwarding the captured image data to the destination.

2. A method according to claim 1, wherein using image analysis comprises performing image analysis on image data of a plurality of frames of a video data stream.

3. A method according to claim 1, wherein the destination is a social networking application.

4. A method according to claim 1, wherein the destination is one of an advertisement-placement targeting engine and a market demographic compiling engine.

5. A method according to claim 1, wherein the image capture system comprises a first image capture device and a second image capture device, and wherein capturing image data within the known field of view of the image capture system comprises capturing first image data within a first field of view of the first image capture device and capturing second image data within a second field of view of the second image capture device.

6. A method according to claim 5, wherein using image analysis comprises performing image analysis on the captured first image data and performing image analysis on the captured second image data.

7. A method according to claim 1, wherein using image analysis comprises performing image analysis on image data comprising a combination of a still image frame and a burst of video frames.