Social network-defined video events

• US 10,419,384 B2
• Filed: 01/06/2017
• Issued: 09/17/2019
• Est. Priority Date: 01/06/2017
• Status: Active Grant

• Current Assignee: Sony Interactive Entertainment LLC (Sony Group Corp.)
• Original Assignee: Sony Interactive Entertainment LLC (Sony Group Corp.)
• Inventors: Gross, Michael
• Primary Examiner(s): Mengesha, Mulugeta
• Application Number:
  US15/400,944
• Publication Number:
  US 20180199102A1
• Time in Patent Office: 984 Days
• CPC Class Codes: G06V 20/44 Event detection
• CPC Class Codes: G06V 20/46 Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
• CPC Class Codes: H04L 51/10 Multimedia information
• CPC Class Codes: H04L 51/52 for supporting social networking services
• CPC Class Codes: H04N 21/2187 Live feed
• CPC Class Codes: H04N 21/4307 Synchronising the rendering of multiple content streams or additional data on devices, e.g. synchronisation of audio on a mobile phone with the video output on the TV screen
• CPC Class Codes: H04N 21/43072 of multiple content streams on the same device
• CPC Class Codes: H04N 21/4316 for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
• CPC Class Codes: H04N 21/44008 involving operations for analysing video streams, e.g. detecting features or characteristics in the video stream arrangements characterised by components specially adapted for monitoring, identification or recognition of video in broadcast systems H04H60/59
• CPC Class Codes: H04N 21/44213 Monitoring of end-user related data arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/4532 involving end-user characteristics, e.g. viewer profile, preferences monitoring of user activities for profile generation for accessing a video database G06F16/739; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/45457 applied to a time segment
• CPC Class Codes: H04N 21/4668 for recommending content, e.g. movies
• CPC Class Codes: H04N 21/4756 for rating content, e.g. scoring a recommended movie
• CPC Class Codes: H04N 21/4788 communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/812 involving advertisement data advertising per se G06Q30/02

Abstract

Systems and methods are herein disclosed for displaying a smart preview of video content. A first claimed embodiment includes receiving video content. A system can then detect an event taking place during the video content having an event time. The system can then receive a request to display a preview of the video content. The system can then display the preview of the video content beginning at the event time.

Claims

1. A method for displaying social network-defined video events, the method comprising:

receiving information regarding a plurality of video content files over a communication network at a client device, wherein each of the plurality of video content files is different from a main video content file on display at the client device;

generating metrics for at least one of the plurality of video content files, the generated metrics regarding one or more characteristics that define one or more predetermined event types, wherein the generated metrics are based on social media feedback specific to one or more points within the at least one video content file;

identifying that the generated metrics for one or more of the points within the at least one video content file satisfy a set of the characteristics that define one of the predetermined event types;

defining an event within the at least one video content file, the defined event corresponding to the predetermined event type defined by the satisfied set of the characteristics, wherein a start point for the defined event is determined based on the generated metrics specific to at least one of the identified points indicating a change in interest level;

receiving a request from the client device for a display of the defined event within the at least one video content file; and

generating the display of the defined event within the at least one video content file, wherein generating the display of the defined event within the at least one video content file comprises skipping a video portion prior to the determined start point of the defined event within the at least one video content file, and wherein the defined event within the at least one video content file is displayed at the client device on a same screen as the main video content file.

2. The method of claim 1, further comprising:

identifying that the defined event has a first end point at another of the one or more identified points within the at least one video content file;

defining a second event that has a second start point within the at least one video content file, and wherein the second start point occurs after the first end point within the at least one video content file;

identifying that the display of the defined event within the at least one video content file has reached the first end point; and

skipping another video portion between the first end point and the second start point of the second event within the at least one video content file.

3. The method of claim 1, wherein the generated metrics are further based on one or more levels of acoustic intensity detected at the one or more points within the at least one video content file.

4. The method of claim 1, wherein the social media feedback includes social media posts corresponding to the one or more identified points within the at least one video content file.

5. The method of claim 1, wherein the received request includes a selection of the defined event from a plurality of defined events within the at least one video content file.

6. The method of claim 2, wherein the at least one video content file is a live video stream, and wherein generating the display further comprises selecting the determined start point from a plurality of available start points based on proximity of the determined start point to a current time of the live video stream.

7. The method of claim 1, wherein the at least one video content file is played at a different speed than the main video content file.

17. The method of claim 1, wherein further comprising designating the determined start point based on a comparison of the generated metrics indicative of social activity volume, wherein the determined start point is associated with the generated metrics that are indicative of highest social activity volume.

18. The method of claim 6, wherein the selected start point is closest to the current time of the live video stream.

19. The method of claim 2, further comprising:

identifying a sequence of events associated with a plurality of available start points and a plurality of end points, wherein the defined event is first in the sequence of events, and the second defined event is second in the sequence of events;

identifying that there is at least one next event in the sequence of events; and

continuing to skip one or more video portions between one of the end points and a next one of the start points of the at least one next event in the sequence of events until a last event in the sequence of events is played.

20. The method of claim 19, further comprising:

identifying that no further events remain in the sequence of events; and

skipping to the current time of the live video stream, wherein the live video stream is displayed in real-time.

21. The method of claim 1, further comprising generating further metrics regarding the at least one video content file based on updated social media feedback, wherein the generated further metrics indicate a trend relating to a different point within the at least one video content file.

8. A system for displaying social network-defined video events, the system comprising:

a communication interface that receives information regarding a plurality of video content files over a communication network, wherein each of the plurality of video content files is different from a main video content file that is on display at a client device; and

a processor that executes instructions stored in memory, wherein execution of the instructions by the processor;

generates metrics for at least one of the plurality of video content files, the generated metrics regarding one or more characteristics that define one or more predetermined event types, wherein the generated metrics are based on social media feedback specific to one or more points within the at least one video content file,

identifies that the generated metrics for one or more of the points within the at least one video content file satisfy a set of the characteristics that define one of the predetermined event types, and

defines an event within the at least one video content file, the defined event corresponding to the predetermined event type defined by the satisfied set of the characteristics, wherein a start point for the defined event is determined based on the generated metrics specific to at least one of the identified points indicating a change in interest level, wherein the communication interface receives a request from the client device for a display of the defined event within the at least one video content file; and

generates a display of the defined event within the at least one video content file by skipping a video portion prior to the determined start point of the defined event within the at least one video content file, wherein the defined event of the at least one video content file is displayed at the client device on a same screen as the main video content file.

9. The system of claim 8, wherein the processor further executes instructions to:

identify that the defined event has a first end point at another of the one or more identified points within the at least one video content file;

define a second event that has a second start point within the at least one video content file, and wherein the second start point occurs after the first end point within the at least one video content file;

identify that the display of the defined event within the at least one video content file has reached the first end point; and

skip another video portion ween the first end point and the second start point of the second event within the at least one video content file.

10. The system of claim 8, wherein the generated metrics are further based on one or more levels of acoustic intensity detected at the one or more points within the at least one video content file.

11. The system of claim 8, wherein the social media feedback includes social media posts corresponding to the one or more identified points within the at least one video content file.

12. The system of claim 8, wherein the received request includes a selection of the defined event from a plurality of defined events within the at least one video content file.

13. The system of claim 8, wherein the at least one video content file is a live video stream, and wherein processor generates the display by selecting the determined start point from a plurality of available start points based on proximity of the start point to a current time of the live video stream.

14. A non-transitory computer-readable storage medium having embodied thereon instructions executable by a processor of a computer to perform a method for displaying social network-defined video events, the method comprising:

receiving information regarding a plurality of video content files over a communication network at a client device, wherein each of the plurality of video content files is different from a main video content file on display at the client device;

generating metrics for at least one of the plurality of video content files, the generated metrics regarding one or more characteristics that define one or more predetermined event types, wherein the generated metrics are based on social media feedback specific to one or more points within the at least one video content file;

identifying that the generated metrics for one or more of the points within the at least one video content file satisfy a set of the characteristics that define one of the predetermined event types;

defining an event within the at least one video content file, the defined event corresponding to the predetermined event type defined by the satisfied set of the characteristics, wherein a start point for the defined event is determined based on the generated metrics specific to at least one identified points indicating a change in interest level;

receiving a request from the client device for a display of the defined event within the at least one video content file; and

generating the display of the defined event within the at least one video content file, wherein generating the display of the defined event within the at least one video content file comprises skipping a video portion prior to the determined start point of the defined event within the at least one video content file, and wherein the defined event within the at least one video content file is displayed at the client device on a same screen as the main video content file.

15. The non-transitory computer-readable storage medium of claim 14, further comprising executable instructions for:

identifying that the defined event has a first end point at another of the one or more identified points within the at least one video content file;

defining a second event that has a second start point within the at least one video content file, and wherein the second start point occurs after the first end point within the at least one video content file;

identifying that the display of the defined event within the at least one video content file has reached the first end point; and

skipping another video portion between the first end point and the second start point of the defined event within the at least one video content file.

16. The non-transitory computer-readable storage medium of claim 14, wherein the generated metrics are further based on one or more levels of acoustic intensity detected at the one or more points within the at least one video content file.