Monitoring web site content

• US 10,410,085 B2
• Filed: 05/25/2016
• Issued: 09/10/2019
• 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:
  US15/164,753
• Publication Number:
  US 20160267354A1
• Time in Patent Office: 1,203 Days
• Field of Search: 709224
• 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 of a first screen image capture of a markup language file, wherein the first reference image comprises a pixel intensity value for individual pixels in the first reference image;

generating a second reference image of a second screen image capture of the markup language file, wherein the second reference image comprises a pixel intensity value for individual pixels in the second reference image;

generating a sample image of a third screen image capture of the markup language file, 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 by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference image; and

causing transmission of an alert message identifying an affected pixel area in the sample image, the alert message based on the compared image;

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 markup language file comprises Web page content.

3. The computer-implemented method as recited in claim 1 further comprising weighting the compared image to produce a weighted compared image.

4. The computer-implemented method as recited in claim 3 further comprising determining whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

5. The computer-implemented method as recited in claim 4, wherein causing the transmission of the alert message further comprises causing transmission of the alert message if the threshold is exceeded.

6. The computer-implemented method as recited in claim 1, 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.

7. The computer-implemented method as recited in claim 1, wherein the alert message further comprises a visual display of an expected output for the affected pixel area.

8. The computer-implemented method as recited in claim 1, wherein the alert message further comprises an identification of a responsible entity for content in the affected pixel area of the sample image.

9. The computer-implemented method as recited in claim 1, wherein the alert message further comprises a visual display of the content in the affected pixel area only, wherein the content in the affected pixel area includes one or more errors or inconsistencies between the sample image and the averaged reference image.

10. The computer-implemented method as recited in claim 1, wherein the alert message includes a user interface portion displaying the affected pixel area.

11. The computer-implemented method as recited in claim 1, wherein the alert message reports one or more errors or inconsistencies resulting from the comparison of the sample image with an averaged reference image.

12. The computer-implemented method as recited in claim 1, wherein the alert message further comprises an identification of a Web browser used to render the sample image.

13. 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 of a first screen image capture of a markup language file, wherein the first reference image comprises a pixel intensity value for individual pixels in the first reference image;

generate a second reference image of a second screen image capture of the markup language file, wherein the second reference image comprises a pixel intensity value for individual pixels in the second reference image;

generate a sample image of a third screen image capture of the markup language file, 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 by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference image; and

cause transmission of an alert message identifying an affected pixel area in the sample image, the alert message based on the compared image.

14. The system as recited in claim 13, wherein the markup language file comprises Web page content.

15. The system as recited in claim 13, wherein the at least one computing device is further operative to weight the compared image to produce a weighted compared image.

16. The system as recited in claim 15, wherein the at least one computing device is further operative to determine whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

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

18. The system 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.

19. 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 of a first display of a markup language file, wherein the first reference image comprises a pixel intensity value for individual pixels in the first reference image;

generate a second reference image of a second display of the markup language file, wherein the second reference image comprises a pixel intensity value for individual pixels in the second reference image;

generate a sample image of a third display of the markup language file, 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 by averaging pixel intensity values in the first reference image with pixel intensity values in the second reference image; and

cause transmission of an alert message identifying an affected pixel area in the sample image, the alert message based on the compared image.

20. The computer-readable non-transitory storage as recited in claim 19, wherein the markup language file comprises Web page content.

21. The computer-readable non-transitory storage as recited in claim 19, wherein the computer-executable instructions, when executed by a processor, further cause the processor to weight the compared image to produce a weighted compared image.

22. The computer-readable non-transitory storage as recited in claim 21, wherein the computer-executable instructions, when executed by a processor, further cause the processor to determine whether a sum of the intensity values for individual pixels in the weighted compared image exceeds a threshold.

23. The computer-readable non-transitory storage as recited in claim 22, wherein causing the transmission of the alert message further comprises causing transmission of the alert message if the threshold is exceeded.

24. The computer-readable non-transitory storage as recited in claim 19, 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.