System and Method for Universal, Player-Independent Measurement of Consumer-Online-Video Consumption Behaviors

• US 20170318339A1
• Filed: 03/14/2014
• Published: 11/02/2017
• Est. Priority Date: 03/14/2013
• Status: Active Grant

• Current Assignee: Oracle America, Inc. (Oracle Corporation)
• Original Assignee: Oracle America, Inc. (Oracle Corporation)
• Inventors: Fichter, Daniel E., Tsoufakis, Christopher R., Gomez, Nikki K., Rahman, Aniq, Goodhart, Jonah, Seiler, Michael Garrett, Agarwal, Suryansh
• Granted Patent: US 10,715,864 B2
• Time in Patent Office: Days
• CPC Class Codes: H04N 21/2225 Local VOD servers
• CPC Class Codes: H04N 21/25866 Management of end-user data customer care in data networks H04L41/5077
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/44224 Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/4782 Web browsing , e.g. WebTV
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

A system that is an independent measurement system to gauge video consumption or viewing is disclosed. Methods for formulating a universal set of measurements or metrics that is operable across all video players, video-content types, ad (advertisement) networks, display devices, and browsers is also disclosed. This set of measurement or metrics advantageously is configured to operate consistently and equally well regardless of the particular video player, video-content type, network, display devices, and browsers that are used.

Claims

1. A method implemented on one or more computing devices, for measuring engagement with video content playing on a plurality of different video players, comprising:

providing a data collection script configured to run on a web page being rendered by a browser on a client device to collect information regarding the video content on the web page, by at least one of the one or more computing devices, the data collection script using image recognition to determine user actions relative to the video content;

executing the data collection script, by at least one of the one or more computing devices, to;

examine the web page to detect the presence of video players, indicated at least by the player object and the presence of video controls; and

identify a particular video player type from a plurality of possible video player types for a detected video player by evaluating visual characteristics of the particular video player type and detecting media behavior of video content displayed in the video player;

tracking all user input at least in the form of cursor movement, gesture and scrolling;

transmitting at least a part of the data collected to an analytics server wherein the analytics server processes the part of the data collected to derive a plurality of measurements relating to the user actions, media behavior, and an environment in which the user actions occur;

providing a dashboard display configured to display the plurality of measurements to indicate consumer and media behavior in relation to the video content; and

examining by the analytics server the data generated by the data collection script and each video player type and generating a measurement scheme for measuring levels of user engagement with the video content regardless of the video player type.

2. The method according to claim 1, wherein the video content includes advertising.

3. The method according to claim 1, wherein the examining step further comprises:

by image recognition assisting the data collection script and each video player type in determining the meaning of user actions with respect to the video player type.

4. The method of claim 1, wherein the data collection script operates on the web page with the video content rendered by the browser on a particular video player by which a particular user views the video content.

5. (canceled)

6. A non-transitory computer-program product for measuring engagement with video content playing on a plurality of different video players, the computer-program product comprising a computer-usable medium including a computer-readable program, wherein the computer-readable program when executed on a computer causes the computer to:

identify a video player type displaying the video content;

provide data collection script configured to run on a web page being rendered by a browser on a client device to collect information regarding the video content on the web page, the data collection script using image recognition to determine user actions relative to the video content;

executing the data collection script, by at least one of the one or more computing devices, to;

examine the web page to detect the presence of video players, indicated at least by the player object and the presence of video controls; and

identify a particular video player type from a plurality of possible video player types for a detected video player by evaluating visual characteristics of the particular video player type and detecting media behavior of video content displayed in the video player;

tracking all user input at least in the form of cursor movement, gesture and scrolling;

transmitting at least a part of the data collected to an analytics server;

providing a dashboard display configured to display a plurality of measurements to indicate consumer and media behavior in relation to the video content; and

examine by the analytic server, the data generated by the data collection script and each video player type and generate a measurement scheme for measuring levels of user engagement with the video content regardless of the video player type.

7. The non-transitory computer-program product of claim 6, wherein the video content includes advertising.

8. The non-transitory computer-program product of claim 6, wherein the computer-readable program when executed on a computer further causes the computer to examine by:

image recognition assist the data collection script and each video player type in determining the meaning of user actions with respect to the video player type.

9. The non-transitory computer-program product of claim 6, wherein the data collection script operates on a web page with the video content rendered by a browser on a particular video player by which a particular user views the video content.

10. (canceled)

11. A system for measuring engagement with video content playing on a plurality of different video players, comprising:

a processor; and

a memory storing instructions that when executed cause the processor to;

identify a video player type displaying the video content;

provide a data collection script configured to run on a web page being rendered by a browser on a client device to collect information regarding the video content on the web page, the data collection script using image recognition to determine user actions relative to the video content;

executing the data collection script, by at least one of the one or more computing devices, to;

examine the web page to detect the presence of video players, indicated at least by the player object and the presence of video controls; and

identify a particular video player type from a plurality of possible video player types for a detected video player by evaluating visual characteristics of the particular video player type and detecting media behavior of video content displayed in the video player;

tracking all user input at least in the form of cursor movement, gesture and scrolling;

transmitting at least a part of the data collected to an analytics server;

 

providing a dashboard display configured to display a plurality of measurements to indicate consumer and media behavior in relation to the video content; and

 

examine, by the analytic server, the data generated by the data collection script and each video player type and generate a measurement scheme for measuring levels of user engagement with the video content regardless of the video player type.

12. The system of claim 11, wherein the video content includes advertising.

13. The system of claim 11, wherein the memory further stores instructions that when executed cause the processor to examine:

by image recognition, assist the data collection script and each video player type in determining the meaning of user actions with respect to the video player type.

14. The system of claim 11, wherein the data collection script operates on the web page with the video content rendered by the browser on a particular video player by which a particular user views the video content.

15. (canceled)