Part-based pornography detection

• US 20080159627A1
• Filed: 03/06/2007
• Published: 07/03/2008
• Est. Priority Date: 12/27/2006
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Sengamedu, Srinivasan H.
• Application Number:
  US11/715,155
• Publication Number:
  US 20080159627A1
• Time in Patent Office: Days
• US Class Current: 382/190
• CPC Class Codes: G06F 16/5838 using colour
• CPC Class Codes: G06V 40/10 Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands

Abstract

Techniques are described herein for detecting particular body parts in a digital image, and as a result of detecting at least one of these body parts, classifying the digital image as a particular type. According to an embodiment, digital image data that defines a digital image is received as input and the digital image data is analyzed to detect whether the digital image includes one or more specified body parts, such as breasts and/or buttocks. If the digital image is determined to contain one or more of the specified body parts, then the digital image is designated as a first type, such as pornography.

Claims

1. A computer-implemented method for identifying pornographic images, the computer-implemented method comprising:

receiving digital image data that defines a digital image;

analyzing the digital image data to detect whether the digital image includes one or more specified body parts;

if the digital image includes at least one of the one or more specified body parts, then designating the digital image data as a first type;

if the digital image does not include at least one of the one or more specified body parts, then designating the digital image data as a second type.

2. The computer-implemented method of claim 1 wherein the first type designates pornography.

3. The computer-implemented method of claim 1 wherein the second type designates non-pornography.

4. The computer-implemented method of claim 1 wherein the second type designates an unknown type.

5. The computer-implemented method of claim 1 wherein the digital image data is obtained from one or more web pages.

6. The computer-implemented method of claim 1 further comprising resizing the digital image prior to analyzing the digital image data.

7. The computer-implemented method of claim 1 wherein analyzing the digital image data includes:

rotating the digital image along a first axis;

detecting whether a specified body part is included in the digital image data by analyzing the rotated digital image;

if none of the specified body parts are included in the rotated digital image data, then rotating the digital image along a second axis; and

detecting whether a specified body part is included in the digital image data by analyzing the rotated digital image.

8. The computer-implemented method of claim 7 wherein detecting whether a specified body part is includes in the digital image data by analyzing the rotated digital image includes analyzing the digital image after the rotation is completed.

9. The computer-implemented method of claim 7 wherein detecting whether a specified body part is includes in the digital image data by analyzing the rotated digital image includes analyzing the digital image during the rotation.

10. The computer-implemented method of claim 1 further comprising:

determining the size of the one or more specified body parts;

if the size of the one or more specified body parts does not exceed a threshold value, then designating the digital image data as a second type.

11. The computer-implemented method of claim 1 further comprising:

assigning a score to the digital image data as a result of the analysis;

comparing the score to a predetermined value;

as a result of the comparison, designating the digital image data as a particular type.

12. The computer-implemented method of claim 1 wherein the specified body part is one of:

breast, pair of breasts, penis, vagina, or buttocks.

13. The computer-implemented method of claim 12 wherein the specified body part is partially clothed.

15. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 2.

16. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 3.

17. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 4.

18. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 5.

19. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 6.

20. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 7.

21. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 8.

22. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 9.

23. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 10.

24. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 11.

25. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 12.

26. A computer-readable medium carrying one or more sequences of instructions which, when executed by one or more processors, causes the one or more processors to perform the method recited in claim 13.

14. A computer-readable medium carrying instructions which, when executed by one or more processors, causes:

receiving data that defines a digital image;

analyzing the digital image data to detect whether the digital image includes one or more specified body parts;

if the digital image includes at least one of the one or more specified body parts, then designating the digital image data as a first type;

if the digital image does not include at least one of the one or more specified body parts, then designating the digital image data as a second type.

27. An apparatus for retrieving digital images, comprising:

a machine-readable medium carrying one or more sequences of instructions; and

one or more processors, wherein execution of the one or more sequences of instructions by the one or more processors causes;

receiving as input digital image data defining a digital image;

processing, by a first classifier, the digital image data, wherein the first classifier is configured to detect whether the digital image includes one or more specified body parts;

processing, by a second classifier, the digital image data, wherein the second classifier is configured to detect whether the digital image includes one or more specified body parts that are different from the one or more specified body parts the first classifier is configured to detect;

if one or more of the classifiers detect that the digital image contains at least one of the one or more specified body parts, then designating the digital image data as a first type;

if none of the classifiers detect that the digital image contains at least one of the one or more specified body parts, then designating the digital image data as a second type.

28. The apparatus of claim 27 wherein the classifiers process in sequential order the digital image data.

29. The apparatus of claim 27 wherein the classifiers simultaneously process the digital image.

30. The apparatus of claim 27 further comprising one or more sequences of instructions, wherein execution of the one or more sequences of instructions by the one or more processors causes:

if one or more of the classifiers detect a specified body part displayed in the digital image, then creating metadata identifying the digital image data as a particular type; and

associating the metadata with the digital image data.

31. The method of claim 27 wherein at least one classifier is configured to detect more than one specified body part.