Monitoring web site content

• US 9,367,929 B2
• Filed: 01/27/2014
• Issued: 06/14/2016
• Est. Priority Date: 03/24/2009
• Status: Active Grant

• 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:
  US14/165,343
• Publication Number:
  US 20140139544A1
• Time in Patent Office: 869 Days
• Field of Search: 709/224
• US Class Current: 1/1
• 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:

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

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

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

generating a sample image corresponding to a third rendering of the same at least a portion of the set of resources in the first rendering, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image; and

causing transmission of an alert message indicating an inconsistency in the third rendering of the same at least a portion of the set of resources in the first rendering, wherein the inconsistency is determined based, at least in part, on the image weight map and wherein the alert message includes an identification of an affected pixel area,

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

2. The computer-implemented method as recited in claim 1, wherein the set of resources corresponds to Web page content.

3. The computer-implemented method as recited in claim 1, wherein the first and second reference images are individual representations of a rendering of a portion of the Web page content.

4. The computer-implemented method as recited in claim 1, wherein the image weight map is a binary weight map.

5. The computer-implemented method as recited in claim 1, wherein the image weight map includes a plurality of weights and wherein individual weights in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

6. The computer-implemented method as recited in claim 1 further comprising:

comparing the sample image with an averaged reference image to identify a compared image, wherein the averaged reference image is determined by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference 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.

7. The computer-implemented method as recited in claim 6, 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.

8. The computer-implemented method as recited in claim 6, wherein causing the transmission of the alert message further comprises causing transmission of the alert message if the threshold is exceeded.

9. A system comprising:

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

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

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

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

generate a sample image corresponding to a third rendering of the same at least a portion of the set of resources in the first rendering, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image; and

cause transmission of an alert message indicating an inconsistency in the third rendering of the same at least a portion of the set of resources in the first rendering, wherein the inconsistency is determined based, at least in part, on the image weight map and wherein the alert message includes an identification of an affected pixel area.

10. The system as recited in claim 9, wherein the set of resources corresponds to Web page content.

11. The system as recited in claim 9, wherein the first and second reference images are individual representations of a rendering of a portion of the Web page content.

12. The system as recited in claim 9, wherein the image weight map is a binary weight map.

13. The system as recited in claim 9, wherein the image weight map includes a plurality of weights and wherein individual weights in the weight map are based on whether the corresponding pixel intensity value in the first and second reference images is constant.

14. The system as recited in claim 9, wherein the at least one computing device is further operative to:

compare the sample image with an averaged reference image to identify a compared image, wherein the averaged reference image is determined by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference 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.

15. The system as recited in claim 14, 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.

16. The system as recited in claim 14, wherein causing the transmission of the alert message further comprises causing transmission of the alert message if the threshold is exceeded.

17. Computer-readable non-transitory storage including computer-executable instructions that, when executed by a processor, cause the processor to at least:

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

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

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

generate a sample image corresponding to a third rendering of the same at least a portion of the set of resources in the first rendering, wherein the sample image comprises a pixel intensity value for individual pixels in the sample image; and

cause transmission of an alert message indicating an inconsistency in the third rendering of the same at least a portion of the set of resources in the first rendering, wherein the inconsistency is determined based, at least in part, on the image weight map and wherein the alert message includes an identification of an affected pixel area.

18. The computer-readable non-transitory storage as recited in claim 17, wherein the set of resources corresponds to Web page content.

19. The computer-readable non-transitory storage as recited in claim 18, wherein the first and second reference images are individual representations of a rendering of a portion of the Web page content.