Scene and activity identification in video summary generation

• US 10,262,695 B2
• Filed: 04/05/2016
• Issued: 04/16/2019
• Est. Priority Date: 08/20/2014
• Status: Active Grant

• Current Assignee: GoPro, Inc.
• Original Assignee: GoPro, Inc.
• Inventors: Newman, David A., Silver, Adam
• Primary Examiner(s): Leroux, Etienne P
• Application Number:
  US15/091,547
• Publication Number:
  US 20160224835A1
• Time in Patent Office: 1,106 Days
• CPC Class Codes: G06T 7/246 using feature-based methods, e.g. the tracking of corners or segments
• CPC Class Codes: G06V 20/41 Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items segmenting video sequences G06V20/49
• CPC Class Codes: G06V 20/44 Event detection
• CPC Class Codes: G06V 20/47 Detecting features for summarising video content
• CPC Class Codes: G10L 15/063 Training
• CPC Class Codes: G10L 15/22 Procedures used during a speech recognition process, e.g. man-machine dialogue
• CPC Class Codes: G10L 2015/0631 Creating reference templates; Clustering
• CPC Class Codes: G10L 2015/223 Execution procedure of a spoken command
• CPC Class Codes: G10L 25/54 for retrieval
• CPC Class Codes: G10L 25/57 for processing of video signals
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: G11B 27/10 Indexing; Addressing; Timing or synchronising; Measuring tape travel
• CPC Class Codes: G11B 27/13 the information being derived from movement of the record carrier, e.g. using tachometer
• CPC Class Codes: G11B 27/28 by using information signals recorded by the same method as the main recording G11B27/22 takes precedence
• CPC Class Codes: G11B 27/3081 used signal is a video-frame or a video-field (P.I.P)
• CPC Class Codes: G11B 27/34 Indicating arrangements indicating means incorporated in magazine or cassette G11B23/046 and G11B23/0875; indicating measured values in general G01D
• CPC Class Codes: H04N 19/513 Processing of motion vectors
• CPC Class Codes: H04N 5/77 between a recording apparatus and a television camera
• CPC Class Codes: H04N 5/772 the recording apparatus and the television camera being placed in the same enclosure
• CPC Class Codes: H04N 5/91 Television signal processing therefor
• CPC Class Codes: H04N 9/8205 : involving the multiplexing of an additional signal and the colour video signal

Abstract

Video and corresponding metadata is accessed. Events of interest within the video are identified based on the corresponding metadata, and best scenes are identified based on the identified events of interest. A video summary can be generated including one or more of the identified best scenes. The video summary can be generated using a video summary template with slots corresponding to video clips selected from among sets of candidate video clips. Best scenes can also be identified by receiving an indication of an event of interest within video from a user during the capture of the video. Metadata patterns representing activities identified within video clips can be identified within other videos, which can subsequently be associated with the identified activities.

Claims

1. A system configured to generate a video summary from recorded video footage, the system comprising:

storage media that stores a video of an activity including multiple frames and audio captured contemporaneously with the frames, the video having an unedited viewing time;

one or more physical processors configured by machine readable instructions to;

obtain a user-selected summary length for a video summary of the video;

obtain metadata for the video, the metadata including biometric information of a user captured contemporaneously with capture of the video and camera motion information characterizing position and/or motion of the camera during capture of the video;

analyze the biometric information of the user captured contemporaneously with capture of the video, the camera motion information characterizing position and/or motion of the camera during capture of the video, and the audio captured contemporaneously with the frames of the video to identify events of interest and types of the events of interest within the video;

select portions of the video for inclusion in the video summary, the portions including the events of interest, wherein numbers of the frames included within the portions are determined based on a type of the activity and the types of the events of interest such that the selected portions of the video include a first portion, the first portion including a first event of interest, and a first number of the frames included within the first portion is;

a first value based on the activity being of a first activity type and the first event of interest being of a first event type;

a second value based on the activity being of a first activity type and the first event of interest being of a second event type;

a third value based on the activity being of a second activity type and the first event of interest being of a first event type;

or

a fourth value based on the activity being of a second activity type and the first event of interest being of a second event type;

wherein the first value, the second value, the third value, and the fourth value are different; and

generate an electronic file defining the video summary from the selected portions of the video so that the video summary has the user-selected summary length.

2. The system of claim 1, wherein the one or more physical processors are further configured to rank the events of interest within the video based on the biometric information of the user captured contemporaneously with capture of the individual events of interest, the camera motion information characterizing position and/or motion of the camera during capture of the individual events of interest, and the audio captured contemporaneously with capture of the individual events of interest.

3. The system of claim 2, wherein the one or more physical processors are further configured such that selection of the portions of the video for inclusion in the video summary is further based on the rankings of the individual events of interest.

4. The system of claim 1, wherein the selected portions of the video are arranged within the video summary based on a video summary template, the video summary template selected based on the type of the activity, the video summary template defining a pre-defined ordering of video portions for inclusion in the video summary based on the types of the events of interest.

5. The system of claim 4, wherein the the video summary template is selected further based on the user-selected summary length for the video summary.

6. The system of claim 1, wherein the events of interest include a first event of interest identified on the basis of a change in the position and/or motion of the camera during capture of the video during capture of the first event of interest as characterized by the camera motion information.

7. The system of claim 6, wherein the one or more physical processors are configured such that identification of the first event of interest is based on the camera motion information for the first event of interest indicating a change in the position and/or motion of the camera.

8. The system of claim 1, wherein the events of interest include a first event of interest identified on the basis of the audio captured contemporaneously with the first event of interest.

9. The system of claim 8 wherein one or more physical processors are configured such that identification of the first event of interest is based on one or more of a level change of the audio captured contemporaneously with the first event of interest, recognition of a word or phrase in the audio captured contemporaneously with the first event of interest, or a non-verbal pattern or noise present in the audio captured contemporaneously with the first event of interest.

10. The system of claim 1, wherein the one or more physical processors are configured such that an amount of separate portions of the video selected for inclusion in the video summary is based on the user-selected summary length.

11. A system configured to generate a video summary from recorded video footage, the system comprising:

storage media that stores video of an activity including multiple frames and audio captured contemporaneously with the frames, the video having an unedited viewing time;

one or more physical processors configured by machine readable instructions to;

obtain metadata for the video, the metadata including biometric information of a user captured contemporaneously with capture of the video and camera motion information characterizing position and/or motion of the camera during capture of the video;

analyze the biometric information of the user captured contemporaneously with capture of the video, the camera motion information characterizing position and/or motion of the camera during capture of the video, and the audio captured contemporaneously with the frames of the video to identify events of interest and types of the events of interest within the video;

identify frames of the video that are frames of interest based on the biometric information of the user captured contemporaneously with capture of the individual frames, the camera motion information characterizing position and/or motion of the camera during capture of the individual frames, and the audio captured contemporaneously with the frames, wherein numbers of the frames that are identified are determined based on a type of the activity and the types of the events of interest such that the identified frames of interest include frames including a first event of interest, and a first number of the frames including the first event of interest is;

a first value based on the activity being of a first activity type and the first event of interest being of a first event type;

a second value based on the activity being of a first activity type and the first event of interest being of a second event type;

a third value based on the activity being of a second activity type and the first event of interest being of a first event type;

or

a fourth value based on the activity being of a second activity type and the first event of interest being of a second event type;

wherein the first value, the second value, the third value, and the fourth value are different; and

effectuate display to the user of visual flags that indicate the identified frames of interest for the user.

12. The system of claim 11, wherein the frames of interest include a first frame of interest identified on the basis of the biometric information of the user captured contemporaneously with capture of a first event of interest.

13. The system of claim 12, wherein the events of interest include a second event of interest identified on the basis of a change in the position and/or motion of the camera during capture of the video during capture of the second event of interest as characterized by the camera motion information.

14. The system of claim 13, wherein the one or more physical processors are configured such that identification of the second event of interest is based on the camera motion information for the second event of interest indicating a change in the position and/or motion of the camera.

15. The system of claim 11, wherein the events of interest include a first event of interest identified on the basis of a change in the position and/or motion of the camera during capture of the video during capture of the first event of interest as characterized by the camera motion information.

16. The system of claim 15, wherein the one or more physical processors are configured such that identification of the first event of interest is based on the camera motion information for the first event of interest indicating a change in the position and/or motion of the camera.

17. The system of claim 12, wherein the events of interest include a second event of interest identified on the basis of the audio captured contemporaneously with the second event of interest.

18. The system of claim 17, wherein one or more physical processors are configured such that identification of the second event of interest is based on one or more of a level change of the audio captured contemporaneously with the second event of interest, recognition of a word or phrase in the audio captured contemporaneously with the second event of interest, or a nonverbal pattern or noise present in the audio captured contemporaneously with the second event of interest.

19. The system of claim 11, wherein the events of interest include a first event of interest identified on the basis of the audio captured contemporaneously with the first event of interest.

20. The system of claim 19, wherein one or more physical processors are configured such that identification of the first event of interest is based on one or more of a level change of the audio captured contemporaneously with the first event of interest, recognition of a word or phrase in the audio captured contemporaneously with the first event of interest, or a non-verbal pattern or noise present in the audio captured contemporaneously with the first event of interest.