VIDEO QUALITY MEASURES

• US 20090164419A1
• Filed: 12/19/2007
• Published: 06/25/2009
• Est. Priority Date: 12/19/2007
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Gupta, Manish, Taylor, Karen Padham
• Granted Patent: US 8,402,025 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/738 Presentation of query results
• CPC Class Codes: G06F 16/78 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0273 Determination of fees for advertising

Abstract

A query including one or more keywords is received from a client device, and a content item (e.g., an advertisement) relevant to the one or more keywords is identified. A video is selected from one or more videos associated with the content item, the selection based on the one or more keywords. Display data is generated for displaying the content item at the client device, and video selection data is generated for displaying the video proximate to the content item at the client device. The display data and the video selection data are provided to the client device.

Claims

1. A computer-implemented method, comprising:

receiving a query including one or more keywords;

identifying a content item relevant to the one or more keywords;

selecting a video from one or more videos associated with the content item; and

providing display data and video selection data to a device.

2. The method of claim 1, further comprising:

generating display data for displaying the advertisement at the client device.

3. The method of claim 1, further comprising:

generating video selection data for displaying the video proximate to the advertisement at the client device;

4. The method of claim 2, wherein the video selection data causes the device to display a video element and causes the device to display the video associated with the content item proximate to the content item in response to a selection of the video element.

5. The method of claim 1, further comprising:

evaluating one or more signals associated with each of the one or more videos; and

calculating a quality score for each of the one or more videos based on the one or more signals.

6. The method of claim 5, wherein the one or more signals include one or more of a play percentage;

a pause percentage;

a hidden percentage;

a muted percentage;

a conversion rate; and

/or an information display rate.

7. The method of claim 6, wherein each of the one or more videos is associated with metadata.

8. The method of claim 7, wherein selecting a video from a group of one or more videos associated with the content item comprises:

comparing the metadata to the one or more keywords;

calculating a relevancy measure of the metadata to the one or more keywords; and

selecting the video based on the relevancy measure and the quality score.

9. The method of claim 7, further comprising:

receiving the metadata from a content provider associated with each of the one or more videos.

10. The method of claim 9, wherein selecting a video from a group of one or more videos associated with the content item comprises:

extracting audio from each of the one or more videos;

comparing the audio to the one or more keywords;

calculating a relevancy measure of the audio to the one or more keywords; and

selecting the video based on the relevancy measure.

11. A computer-implemented method, comprising:

receiving a query including one or more keywords;

identifying a content item relevant to the one or more keywords, wherein the content item is associated with videos;

calculating relevancy measures for the videos based on the one or more keywords, metadata associated with the videos, and quality scores associated with the videos; and

selecting a video based on the relevancy measures.

12. The method of claim 11, wherein calculating relevancy measures for the videos based on the one or more keywords, metadata associated with the videos, and quality scores associated with the videos comprises:

comparing the metadata to the one or more keywords;

evaluating one or more signals associated with the videos; and

calculating quality scores for the videos based on one or more signals; and

calculating the relevancy measure based on the comparison of the metadata to the one or more keywords and the quality scores.

13. The method of claim 12, wherein calculating quality scores for the videos based on one or more signals comprises:

identifying the one or more signals associated with the videos.

14. The system of claim 12, wherein the one or more signals include one or more of a play percentage;

a pause percentage;

a hidden percentage;

a muted percentage;

a conversion rate; and

/or an information display rate.

15. A system, comprising:

a data store configured to store advertisements and one or more videos associated with the advertisements; and

an advertisement engine comprising instruction executable by a processing system and stored in a computer readable medium, wherein upon execution the instructions cause the processing system to perform the operations of;

receive from a client device a query including one or more keywords;

identify an advertisement relevant to the one or more keywords;

select a video from the one or more videos associated with the advertisement;

generate display data for displaying the advertisement at the client device;

generate video selection data for displaying the video proximate to the advertisement at the client device; and

provide the display data and the video selection data to the client device.

16. The system of claim 15, wherein the video selection data causes the client device to display a video element and causes the client device to display the video associated with the advertisement proximate to the advertisement in response to a selection of the video element.

17. The system of claim 15, wherein the advertisement engine is further operable to:

evaluate one or more signals associated with each of the one or more videos; and

calculate a quality score for each of the one or more videos based on the one or more signals.

18. The system of claim 17, wherein the one or more signals include one or more of a play percentage;

a pause percentage;

a hidden percentage;

a muted percentage;

a conversion rate; and

/or an information display rate.

19. The system of claim 18, wherein each of the one or more videos is associated with metadata.

20. The system of claim 19, wherein the advertisement engine is further operable to:

compare the metadata to the one or more keywords;

calculate a relevancy measure of the metadata to the one or more keywords; and

selecting the video based on the relevancy measure.

22. The system of claim 19, wherein the advertisement engine is further operable to:

compare the metadata to the one or more keywords;

evaluate one or more signals associated with the videos; and

calculate quality scores for the videos based on one or more signals; and

calculate the relevancy measure based on the comparison of the metadata to the one or more keywords and the quality scores.

23. The system of claim 20, wherein the advertisement engine is further operable to:

identify the one or more signals associated with the videos.

24. The system of claim 20, wherein the one or more signals include one or more of a play percentage;

a pause percentage;

a hidden percentage;

a muted percentage;

a conversion rate; and

/or an information display rate.

21. A system, comprising:

a data store configured to store advertisements and videos associated with the advertisements; and

an advertisement engine comprising instruction executable by a processing system and stored in a computer readable medium, wherein upon execution the instructions cause the processing system to perform the operations of;

receive a query including one or more keywords from a client device;

identify an advertisement relevant to the one or more keywords, wherein the advertisement is associated with videos;

calculate relevancy measures for the videos based on the one or more keywords, metadata associated with the videos, and quality scores associated with the videos; and

select a video based on the relevancy measures.

25. A system, comprising:

means for receiving a query including one or more keywords;

means for identifying a content item relevant to the one or more keywords;

means for selecting a video from one or more videos associated with the content item, the selection based on the one or more keywords;

means for generating display data for displaying the content item at the client device;

means for generating video selection data for displaying the video proximate to the content item at the client device; and

means for providing the display data and the video selection data to the client device.