Monitoring web site content

• US 8,667,127 B2
• Filed: 01/13/2011
• Issued: 03/04/2014
• Est. Priority Date: 03/24/2009
• Status: Expired due to Fees

• Current Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Original Assignee: Amazon Technologies, Inc. (Amazon.com, Inc.)
• Inventors: Bettis, David William, Jenkins, Jonathan A., Gill, Sunbir
• Primary Examiner(s): TANG, KAREN C
• Application Number:
  US13/006,281
• Publication Number:
  US 20110109643A1
• Time in Patent Office: 1,146 Days
• Field of Search: 709/224, 709/226, 709/228
• US Class Current: 709/224
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
• CPC Class Codes: G06F 18/22 Matching criteria, e.g. proximity measures
• CPC Class Codes: G06T 2207/30168 Image quality inspection
• CPC Class Codes: G06T 7/0002 Inspection of images, e.g. flaw detection
• CPC Class Codes: G06T 7/90 Determination of colour characteristics
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]

Abstract

Systems and methods for monitoring Web page content associated with processing a resource request are provided. A client computing device generates a sample image corresponding to a set of resources rendered in response to a resource request. A processing component, such as an image analysis component, then compares the sample image with an averaged reference image to identify a compared image. The averaged reference image is determined from averaging a pixel intensity value for each pixel in a first reference image with a pixel intensity value for each pixel in a second reference image. These first and second reference images both correspond to the same set of requested resources. The processing component then weights the compared image to produce a weighted compared image and determines whether a sum of the intensity values for each pixel in the weighted compared image exceeds a threshold. Aspects of systems and methods for generating an alert message if the threshold is exceeded are also provided.

Claims

1. A computer-implemented method comprising:

transmitting a first resource request associated with a first resource identifier, wherein the first resource request corresponds to a set of resources;

generating a first reference image corresponding to a first rendering of the set of resources, wherein the first reference image comprises a pixel intensity value for individual pixels in the first reference image;

transmitting a second resource request associated with the first resource identifier, wherein the second resource request corresponds to a request for the same set of resources requested in the first resource request;

generating a second reference image corresponding to a second rendering of the set of resources, wherein the second reference image comprises a pixel intensity value for individual pixels in the second reference image;

determining an averaged reference image by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference image; and

determining an image weight map including a weighted pixel value for individual pixels corresponding to the respective pixels in the first and second reference images, wherein individual weighted pixel values are based on the difference of the corresponding pixel intensity value between the first and second reference images,

wherein the method is implemented by a computer system configured with specific executable instructions.

2. The method as recited in claim 1, wherein the first resource identifier corresponds to a uniform resource locator associated with a content provider.

3. The method as recited in claim 1, wherein the set of resources corresponds to Web page content.

4. The method as recited in claim 3, wherein the first and second reference images are individual representations of a complete rendering of the Web page content at a given time.

5. The method as recited in claim 1, wherein the weight map is a binary weight map.

6. The method as recited in claim 1, wherein the weight map includes a plurality of weighted pixel values and wherein individual weighted pixel values in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

7. The method as recited in claim 1 further comprising:

transmitting a third resource request associated with the first resource identifier, wherein the third resource request corresponds to the same set of resources requested in the first and second resource requests; and

generating a sample image corresponding to a third rendering of the set of resources, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image.

8. The method as recited in claim 7 further comprising:

comparing the sample image with the averaged reference image to identify a compared image;

weighting the compared image using the image weight map to produce a weighted compared image; and

determining whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

9. The method as recited in claim 8, wherein the compared image includes an intensity value for individual pixels of the compared image corresponding to the difference between the sample image and the averaged reference image.

10. The method as recited in claim 8 further comprising:

transmitting an alert message if the threshold is exceeded.

11. The method as recited in claim 7 further comprising:

comparing the sample image with the averaged reference image to identify a compared image; and

determining whether a sum of the intensity values for individual pixels in the compared image exceeds a threshold.

12. The method as recited in claim 11 further comprising:

transmitting an alert message if the threshold is exceeded.

13. A computer-implemented method comprising:

transmitting a resource request associated with a first resource identifier, wherein the resource request corresponds to a set of resources;

generating a sample image corresponding to a rendering of the set of resources, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image;

comparing the sample image with an averaged reference image to identify a compared image, wherein the averaged reference image is determined from averaging pixel intensity values in a first reference image with pixel intensity values in a second reference image, wherein the first and second reference images individually result from a request for the same set of resources requested in the transmitted resource request;

weighting the compared image to produce a weighted compared image, wherein the weighted compared image includes a plurality of weighted compared pixel intensity values; and

determining whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold,

wherein the method is implemented by a computer system configured with specific executable instructions.

14. The method as recited in claim 13, wherein the resource identifier corresponds to a uniform resource locator associated with a content provider.

15. The method as recited in claim 13, wherein the set of resources corresponds to Web page content.

16. The method as recited in claim 15, wherein the sample image is representative of a complete rendering of the Web page content at a given time.

17. The method as recited in claim 13, wherein weighting the compared image to produce a weighted compared image comprises weighting the compared image using an image weight map to produce the weighted compared image.

18. The method as recited in claim 17, wherein the image weight map includes a weighted pixel value for individual pixels corresponding to the respective pixels in the sample image, wherein individual weighted pixel values are based on the difference of the corresponding pixel intensity value between the first and second reference images.

19. The method as recited in claim 18, wherein the weight map is a binary weight map.

20. The method as recited in claim 18, wherein individual weighted pixel values in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

21. The method as recited in claim 13, wherein the compared image includes an intensity value for individual pixels of the compared image corresponding to the difference between the sample image and the averaged reference image.

22. The method as recited in claim 13 further comprising:

transmitting an alert message if the threshold is exceeded.

23. The method as recited in claim 22, wherein the alert message includes an identification of an affected area corresponding to the rendered set of resources.

24. The method as recited in claim 23, wherein the affected area corresponds to the area in which the greatest differences in pixel intensity value exist between the sample image and the averaged reference image.

25. The method as recited in claim 23, wherein the alert message further includes an identification of an expected output for the affected area.

26. The method as recited in claim 23, wherein the alert message further includes an identification of a responsible entity for the affected area corresponding to the rendered set of resources.

27. The method as recited in claim 22, wherein the alert message includes an identification of a client computing component, the client computing component comprising a Web browser.

28. A system comprising:

at least one computing device having specific executable instructions stored in an associated memory and operative to;

obtain a resource request associated with a first resource identifier, wherein the resource request corresponds to a set of resources;

generate a sample image corresponding to a rendering of the set of resources, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image;

compare the sample image with an averaged reference image to identify a compared image, wherein the averaged reference image is determined from averaging pixel intensity values in a first reference image with pixel intensity values in a second reference image, wherein the first and second reference images individually result from a request for the same set of resources requested in the transmitted resource request;

weight the compared image to produce a weighted compared image, wherein the weighted compared image includes a plurality of weighted compared pixel intensity values; and

determine whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

29. The system as recited in claim 28, wherein the resource identifier corresponds to a uniform resource locator associated with a content provider.

30. The system as recited in claim 28, wherein the set of resources corresponds to Web page content.

31. The system as recited in claim 30, wherein the sample image is representative of a complete rendering of the Web page content at a given time.

32. The system as recited in claim 28, wherein weighting the compared image to produce a weighted compared image comprises weighting the compared image using an image weight map to produce the weighted compared image.

33. The system as recited in claim 32, wherein the image weight map includes a weighted pixel value for individual pixels corresponding to the respective pixels in the sample image, wherein individual weighted pixel values are based on the difference of the corresponding pixel intensity value between the first and second reference images.

34. The system as recited in claim 33, wherein the weight map is a binary weight map.

35. The system as recited in claim 33, wherein individual weighted pixel values in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

36. The system as recited in claim 28, wherein the compared image includes an intensity value for individual pixels of the compared image corresponding to the difference between the sample image and the averaged reference image.

37. The system as recited in claim 28, wherein the at least one computing device is further operative to:

provide an alert message if the threshold is exceeded.

38. The system as recited in claim 37, wherein the alert message includes an identification of an affected area corresponding to the rendered set of resources.

39. The system as recited in claim 38, wherein the affected area corresponds to the area in which the greatest differences in pixel intensity value exist between the sample image and the averaged reference image.

40. The system as recited in claim 38, wherein the alert message further includes an identification of an expected output for the affected area.

41. The system as recited in claim 38, wherein the alert message further includes an identification of a responsible entity for the affected area corresponding to the rendered set of resources.

42. The system as recited in claim 37, wherein the alert message includes an identification of a client computing component, the client computing component comprising a Web browser.

43. A system comprising:

at least one computing device having specific executable instructions stored in an associated memory and operative to;

obtain a first resource request associated with a first resource identifier, wherein the first resource request corresponds to a set of resources;

generate a first reference image corresponding to a first rendering of the set of resources, wherein the first reference image comprises a pixel intensity value for individual pixels in the first reference image;

obtain a second resource request associated with the first resource identifier, wherein the second resource request corresponds to a request for the same set of resources requested in the first resource request;

generate a second reference image corresponding to a second rendering of the set of resources, wherein the second reference image comprises a pixel intensity value for individual pixels in the second reference image;

determine an averaged reference image by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference image; and

determine an image weight map including a weighted pixel value for individual pixels corresponding to the respective pixels in the first and second reference images, wherein individual weighted pixel values are based on the difference of the corresponding pixel intensity value between the first and second reference images.

44. The system as recited in claim 43, wherein the first resource identifier corresponds to a uniform resource locator associated with a content provider.

45. The system as recited in claim 43, wherein the set of resources corresponds to Web page content.

46. The system as recited in claim 45, wherein the first and second reference images are individual representations of a complete rendering of the Web page content at a given time.

47. The system as recited in claim 43, wherein the weight map is a binary weight map.

48. The system as recited in claim 43, wherein the weight map includes a plurality of weighted pixel values and wherein individual weighted pixel values in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

49. The system as recited in claim 43, wherein the at least one computing device is further operative to:

obtain a third resource request associated with the first resource identifier, wherein the third resource request corresponds to the same set of resources requested in the first and second resource requests; and

generate a sample image corresponding to a third rendering of the set of resources, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image.

50. The system as recited in claim 49, wherein the at least one computing device is further operative to:

compare the sample image with the averaged reference image to identify a compared image;

weight the compared image using the image weight map to produce a weighted compared image; and

determine whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

51. The system as recited in claim 50, wherein the compared image includes an intensity value for individual pixels of the compared image corresponding to the difference between the sample image and the averaged reference image.

52. The system as recited in claim 50, wherein the at least one computing device is further operative to:

provide an alert message if the threshold is exceeded.

53. The system as recited in claim 49, wherein the at least one computing device is further operative to:

compare the sample image with the averaged reference image to identify a compared image; and

determine whether a sum of the intensity values for individual pixels in the compared image exceeds a threshold.

54. The system as recited in claim 53, wherein the at least one computing device is further operative to:

provide an alert message if the threshold is exceeded.