Granted Patent B2

US 12,262,100 · App. 18/240,583 · Granted Mar 25, 2025

Inventors: Warren Joseph Packard (Palo Alto, CA); Dan Lythcott-Haims (Palo Alto, CA); Alan Levin (Vancouver, CA)

Assignee: STATS LLC

H04N21/8549H04N21/231H04N21/23109H04N21/23418H04N21/23424H04N21/23439H04N21/25841H04N21/25883H04N21/25891H04N21/26258H04N21/278H04N21/8126H04N21/2668H04N21/4788

Abstract

Claims (80)

1. A computer-implemented method of generating a highlight sequence customized for presentation to a user, comprising:

identifying, by a computing system, a plurality of occurrences within a source content;

prioritizing, by the computing system, the plurality of occurrences based on an excitement level associated with a user;

automatically determining, by the computing system, the user's preference for transitions; and

generating, by the computing system, a customized highlight sequence by:

selecting, based on the prioritizing, a subset of the plurality of occurrences comprising a first occurrence and a second occurrence, the second occurrence being after the first occurrence;

determining, based on the user's preference for the transitions, a customized transition between the first occurrence and the second occurrence, the customized transition comprising supplemental information about at least one of the first occurrence or the second occurrence; and

assembling segments corresponding to the subset of the plurality of occurrences and the customized transition to generate the customized highlight sequence.

2. The computer-implemented method of claim 1 , further comprising:

automatically determining, by the computing system, the excitement level.

3. The computer-implemented method of claim 2 , wherein the source content is associated with a sporting event, and wherein automatically determining the excitement level comprises:

determining, by the computing system, a characteristic of the user, the characteristic comprising the user's affinity for at least one a team, sport, player, or league of the sporting event.

4. The computer-implemented method of claim 2 , wherein automatically determining the excitement level comprises:

tracking, by the computing system, user behavior of the user.

5. The computer-implemented method of claim 2 , wherein automatically determining the excitement level comprises:

querying, by the computing system, the user.

6. The computer-implemented method of claim 1 , wherein the source content is associated with a sporting event, wherein the excitement level is based on attributes of the sporting event.

7. The computer-implemented method of claim 6 , wherein the attributes of the sporting event comprise at least one of teams playing at the sporting event, players playing at the sporting event, pace of the sporting event, parity between the teams playing at the sporting event, novelties during the sporting event, momentum of the sporting event, or social media activity associated with the sporting event.

8. The computer-implemented method of claim 1 , wherein the supplemental information comprises at least one of:

descriptive information that reveals an outcome in at least one of the first occurrence or the second occurrence; or

descriptive information that does not reveal outcomes in at least one of the first occurrence or the second occurrence.

9. The computer-implemented method of claim 1 , wherein the source content comprises at least one of:

a live broadcast;

a recorded broadcast;

a video archive;

content from a website;

content from a video-sharing site;

content stored on a server;

content stored on a mobile computing device;

content stored on a camera;

on-demand content;

content stored locally;

content captured by a device associated with the user; or

pre-curated content.

10. A system comprising:

a computer readable non-transitory storage medium storing computer program instructions; and

at least one processor configured to execute the computer program instructions to cause the system to perform operations comprising:

identifying a plurality of occurrences within a source content;

prioritizing the plurality of occurrences based on an excitement level associated with a user;

automatically determining the user's preference for transitions; and

generating a customized highlight sequence by:

selecting, based on the prioritizing, a subset of the plurality of occurrences comprising a first occurrence and a second occurrence, the second occurrence being after the first occurrence;

determining, based on the user's preference for the transitions, a customized transition between the first occurrence and the second occurrence, the customized transition comprising supplemental information about at least one of the first occurrence or the second occurrence; and

assembling segments corresponding to the subset of the plurality of occurrences and the customized transition to generate the customized highlight sequence.

11. The system of claim 10 , the operations further comprising:

automatically determining the excitement level.

12. The system of claim 11 , wherein the source content is associated with a sporting event, and wherein automatically determining the excitement level comprises:

determining a characteristic of the user, the characteristic comprising the user's affinity for at least one a team, sport, player, or league of the sporting event.

13. The system of claim 11 , wherein automatically determining the excitement level comprises:

tracking user behavior of the user.

14. The system of claim 11 , wherein automatically determining the excitement level comprises:

querying the user.

15. The system of claim 10 , wherein the source content is associated with a sporting event, wherein the excitement level is based on attributes of the sporting event.

16. The system of claim 15 , wherein the attributes of the sporting event comprise at least one of teams playing at the sporting event, players playing at the sporting event, pace of the sporting event, parity between the teams playing at the sporting event, novelties during the sporting event, momentum of the sporting event, or social media activity associated with the sporting event.

17. The system of claim 10 , wherein the supplemental information comprises at least one of:

descriptive information that reveals an outcome in at least one of the first occurrence or the second occurrence; or

descriptive information that does not reveal outcomes in at least one of the first occurrence or the second occurrence.

18. The system of claim 10 , wherein the source content comprises at least one of:

a live broadcast;

a recorded broadcast;

a video archive;

content from a website;

content from a video-sharing site;

content stored on a server;

content stored on a mobile computing device;

content stored on a camera;

on-demand content;

content stored locally;

content captured by a device associated with the user; or

pre-curated content.

19. A non-transitory storage medium storing computer program instructions, which when executed cause a computing system to perform operations comprising:

identifying a plurality of occurrences within a source content;

prioritizing the plurality of occurrences based on an excitement level associated with a user;

automatically determining the user's preference for transitions; and

generating a customized highlight sequence by:

selecting, based on the prioritizing, a subset of the plurality of occurrences comprising a first occurrence and a second occurrence, the second occurrence being after the first occurrence;

determining, based on the user's preference for the transitions, a customized transition between the first occurrence and the second occurrence, the customized transition comprising supplemental information about at least one of the first occurrence or the second occurrence; and

assembling segments corresponding to the subset of the plurality of occurrences and the customized transition to generate the customized highlight sequence.

20. The non-transitory storage medium of claim 19 , the operations further comprising:

automatically determining the excitement level.

Assignments (3)

Continuity (5)

References Cited (400)