IP Library Granted Patent US 9,569,465
Granted Patent B2
US 9,569,465 · App. 14/267,840 · Granted Feb 14, 2017

Image processing

Inventors: Bradford A Folkens (Los Angeles, CA); Dominik K Mazur (Los Angeles, CA)
Assignee: Cloudsight, Inc.
G06F17/30268G06F17/30011
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Quick Facts
Patent No.
US 9,569,465
App. No.
14/267,840
Granted
Feb 14, 2017
Kind
B2
Abstract

An image recognition approach employs both computer generated and manual image reviews to generate image tags characterizing an image. The computer generated and manual image reviews can be performed sequentially or in parallel. The generated image tags may be provided to a requester in real-time, be used to select an advertisement, and/or be used as the basis of an internet search. In some embodiments generated image tags are used as a basis for an upgraded image review. A confidence of a computer generated image review may be used to determine whether or not to perform a manual image review.

Claims (31)

1. An image processing system comprising:

an I/O configured to communicate an image and image tags over a communication network;

an automatic identification interface configured to communicate the image to an automatic identification system and to receive a computer generated review of the image from the automatic identification system, the computer generated review including one or more image tags identifying contents of the image;

destination logic configured to determine a first destination to send the image to, for a first manual review of the image by a first human reviewer;

image posting logic configured to post the image to the destination;

review logic configured to receive the manual review of the image from the destination and to receive the computer generated review, the manual review including one or more image tags identifying contents of the image;

response logic configured to provide the image tags of the computer generated review and the image tags of the manual review to the communication network, wherein the response logic is further configured to provide the image tags of the computer generated review and of the manual review to an advertising system, and to receive an identifier of an advertisement from the advertising system, and to provide the identifier of the advertisement to a source of the image;

memory configured to store the image; and

a microprocessor configured to execute at least the destination logic.

2. The system of claim 1 , wherein the image posting logic is further configured to provide information identifying the source of the image to the destination, the information identifying the source includes a universal resource locator.

3. The system of claim 1 , wherein the image posting logic is further configured to provide an indication of the source location of the image to the destination.

4. The system of claim 1 , wherein the image posting logic is configured to provide the image to the destination while the image is being reviewed by the automatic identification system.

5. The system of claim 1 , wherein the review logic is further configured to control posting of the image to the destination based on a measure of confidence representative of a confidence that the one or more image tags of the computer generated review correctly identify the contents of the image.

6. The system of claim 1 , wherein the response logic is configured to execute an internet search based on the image tags of the computer generated review and of the manual review, and to provide results of the internet search to a source of the image.

7. The system of claim 1 , further comprising image marking logic configured to receive an image and an indication of an item of interest within the image, and to mark the image to indicate the item of interest within the image prior to posting the image to the destination.

8. The system of claim 1 , further comprising content processing logic configured to extract the image from an image source, wherein the image source is a photo sharing website or a social networking website.

9. A method of processing an image, the method comprising:

receiving an image from an image source;

distributing the image to an automated image identification system;

receiving a computer generated review from the automated image identification system, the computer generated review including one or more image tags assigned to the image by the automated image identification system and a measure of confidence, the measure of confidence being a measure of confidence that the image tags assigned to the image correctly characterize contents of the image;

placing the image in an image queue;

determining a first destination;

posting the image for manual review to the first destination, the first destination including a display device of a human image reviewer; and

receiving a manual image review of the image from the first destination, the image review including one or more image tags assigned to the image by the human image reviewer, the one or more image tags assigned by the human image reviewer characterizing contents of the image.

10. The method of claim 9 , further comprising determining that the measure of confidence is below a predetermined threshold, the posting the image for manual review being dependent on the determination that the measure of confidence is below the predetermined level.

11. The method of claim 9 , wherein the manual image review is received word by word or keystroke by keystroke, further comprising providing the manual image review to the image source in real-time as it is received.

12. The method of claim 9 , further comprising receiving an indication of at least one subset of the received image and marking the received image to highlight the indicated at least one subset.

13. The method of claim 9 , further comprising receiving source data characterizing a source of the image, wherein the source data includes global positioning coordinates.

14. The method of claim 9 , further comprising upgrading review of the image, the upgrading including selecting a second destination and providing the image to the second destination.

15. The method of claim 9 , further comprising performing an internet search based on the one or more tags assigned to the image, and reporting results of the search to a source of the image.

16. The method of claim 9 , further comprising selecting an advertisement based on the one or more image tags assigned by the human image reviewer.

Assignments (4)
SECURITY AGREEMENT Recorded Jan 11, 2019
From: CLOUDSIGHT, INC.
To: S.A.W. CAPITAL PARTNERS, LLC
Reel/Frame 048692/0226 →
CHANGE OF NAME Recorded Oct 13, 2016
From: CAMFIND INC.
To: CLOUDSIGHT, INC.
Reel/Frame 040349/0682 →
CHANGE OF NAME Recorded Oct 28, 2015
From: IMAGE SEARCHER, INC.
To: CAMFIND, INC.
Reel/Frame 036987/0923 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Aug 5, 2014
From: FOLKENS, BRADFORD A.; MAZUR, DOMINIK K.
To: IMAGE SEARCHER, INC.
Reel/Frame 033469/0189 →
Continuity (6)
Provisional Application 61956927 · May 1, 2013
Provisional Application 61975691 · Apr 4, 2014
Provisional Application 61976494 · Apr 7, 2014
Provisional Application 61987156 · May 1, 2014
Related Publication 20150286658A1 · Oct 8, 2015
Related Publication 20160012079A9 · Jan 14, 2016