Systems and methods for generating recommendations of post-capture users to edit digital media content field

• US 10,095,696 B1
• Filed: 03/25/2016
• Issued: 10/09/2018
• Est. Priority Date: 01/04/2016
• Status: Active Grant

• Current Assignee: GoPro, Inc.
• Original Assignee: GoPro, Inc.
• Inventors: Turley, Logan, Grove, Steven
• Primary Examiner(s): Bibbee, Jared M
• Application Number:
  US15/081,803
• Time in Patent Office: 928 Days
• CPC Class Codes: G06F 16/437 Administration of user profiles, e.g. generation, initialisation, adaptation, distribution
• CPC Class Codes: G06F 16/438 Presentation of query results
• CPC Class Codes: G06F 16/48 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06Q 30/0631 Item recommendations
• CPC Class Codes: G06V 10/143 Sensing or illuminating at different wavelengths
• CPC Class Codes: G06V 20/47 Detecting features for summarising video content
• CPC Class Codes: G06V 20/49 Segmenting video sequences, i.e. computational techniques such as parsing or cutting the sequence, low-level clustering or determining units such as shots or scenes
• CPC Class Codes: G11B 27/031 Electronic editing of digitised analogue information signals, e.g. audio or video signals
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; 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 21/47205 for manipulating displayed content, e.g. interacting with MPEG-4 objects, editing locally
• CPC Class Codes: H04N 21/8456 by decomposing the content in the time domain, e.g. in time segments
• CPC Class Codes: H04N 21/8547 involving timestamps for synchronizing content
• CPC Class Codes: H04N 21/8549 Creating video summaries, e.g. movie trailer retrieval in video databases by using presentations in form of a video summary G06F16/739

Abstract

Contextual parameters of digital media content may be obtained. The digital media content may be associated with a content capture user and/or an end user. Editing parameters defining one or more editing attributes of an edited version of the digital media content selected by the content capture user and/or the end user may be received. Post-capture user profiles may be obtained. Individual post-capture user profiles may include expertise attributes associated with individual post-capture users. A set of post-capture users may be identified as potential matches for creating the edited version of the digital media content based upon the contextual parameters, the editing parameters, and the one or more expertise attributes of the post-capture user profiles. The set of post-capture users may be presented to the content capture user and/or the end user for selection of one of the post-capture users to create the edited version of the digital media content.

Claims

1. A system that generates recommendations of post-capture users to edit digital media content, the system comprising:

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

obtain contextual parameters of digital media content, the digital media content being associated with a content capture user and/or an end user, the contextual parameters defining one or more temporal attributes and/or spatial attributes associated with capture of the digital media content;

receive editing parameters selected by the content capture user and/or the end user, the editing parameters defining one or more editing attributes of an edited version of the digital media content to be created;

obtain post-capture user profiles, individual post-capture user profiles including expertise attributes associated with individual post-capture users, the expertise attributes including stated information and feedback information, the stated information being provided by the post-capture users themselves and the feedback information including information provided by one or more of content capture users and/or end users for whom the individual post-capture users have created edited versions of other digital media content;

identify a set of post-capture users as potential matches for creating the edited version of the digital media content based upon the contextual parameters, the editing parameters, and the one or more expertise attributes of the post-capture user profiles; and

effectuate presentation of the set of post-capture users to the content capture user and/or the end user for selection by the content capture user and/or the end user of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content.

2. The system of claim 1, wherein the one or more temporal attributes and/or spatial attributes include one or more of a geolocation attribute, a device attribute, and/or a content attribute.

3. The system of claim 2, wherein the geolocation attribute includes a location of where the digital media content was captured.

4. The system of claim 2, wherein the device attribute includes a type of capturing device that captured the digital media content.

5. The system of claim 2, wherein the content attribute includes one or more of an action depicted within the digital media content, an activity depicted within the digital media content, and/or one or more objects depicted within the digital media content.

6. The system of claim 1, wherein the one or more editing attributes include one or more of selected moments of the digital media content to include within the edited version of the digital media content, a target audience for the edited version of the digital media content, a sample of targeted edited content for the edited version of the digital media content, a length of the edited version of the digital media content, a category of the digital media content, a proposed budget for the edited version of the digital media content, and/or a completion date for the edited version of the digital media content.

7. The system of claim 1, wherein the one or more physical computer processors are further configured by computer readable instructions to:

receive a selection of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content.

8. The system of claim 7, wherein the one or more physical computer processors are further configured by computer readable instructions to:

receive feedback information from a first client computing platform associated with the selected post-capture user for the content capture user associated with capture of the digital media content.

9. The system of claim 8, wherein the one or more physical computer processors are further configured by computer readable instructions to:

obtain the edited version of the digital media content from the first client computing platform associated with the selected post-capture user; and

effectuate transmission of the edited version of the digital media content from the first client computing platform to a second client computing platform associated with the content capture user and/or the end user.

10. The system of claim 9, wherein the one or more physical computer processors are further configured by computer readable instructions to:

receive feedback information from the second client computing platform associated with the content capture user for the selected post-capture user based upon the edited version of the digital media content.

11. A method that generates recommendations of post-capture users to edit digital media content, the method comprising:

obtaining contextual parameters of digital media content, the digital media content being associated with a content capture user and/or an end user, the contextual parameters defining one or more temporal attributes and/or spatial attributes associated with capture of the digital media content;

receiving editing parameters selected by the content capture user and/or the end user, the editing parameters defining one or more editing attributes of an edited version of the digital media content to be created;

obtaining post-capture user profiles, individual post-capture user profiles including expertise attributes associated with individual post-capture users, the expertise attributes including stated information and feedback information, the stated information being provided by the post-capture users themselves and the feedback information including information provided by one or more of content capture users and/or end users for whom the individual post-capture users have created edited versions of other digital media content;

identifying a set of post-capture users as potential matches for creating the edited version of the digital media content based upon the contextual parameters, the editing parameters, and the one or more expertise attributes of the post-capture user profiles; and

effectuate presentation of the set of post-capture users to the content capture user and/or the end user for selection by the content capture user and/or the end user of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content.

12. The method of claim 11, wherein the one or more temporal attributes and/or spatial attributes include one or more of a geolocation attribute, a device attribute, and/or a content attribute.

13. The method of claim 12, wherein the geolocation attribute includes a location of where the digital media content was captured.

14. The method of claim 12, wherein the device attribute includes a type of capturing device that captured the digital media content.

15. The method of claim 12, wherein the content attribute includes one or more of an action depicted within the digital media content, an activity depicted within the digital media content, and/or one or more objects depicted within the digital media content.

16. The method of claim 11, wherein the one or more editing attributes include one or more of selected moments of the digital media content to include within the edited version of the digital media content, a target audience for the edited version of the digital media content, a sample of targeted edited content for the edited version of the digital media content, a length of the edited version of the digital media content, a category of the digital media content, a proposed budget for the edited version of the digital media content, and/or a completion date for the edited version of the digital media content.

17. The method of claim 11, further comprising:

receiving a selection of one of the post-capture users from the set of post-capture users to create the edited version of the digital media content.

18. The method of claim 17, further comprising:

receiving feedback information from a first client computing platform associated with the selected post-capture user for the content capture user associated with capture of the digital media content.

19. The method of claim 18, further comprising:

obtaining the edited version of the digital media content from the first client computing platform associated with the selected post-capture user; and

effectuate transmission of the edited version of the digital media content from the first client computing platform to a second client computing platform associated with the content capture user and/or the end user.

20. The method of claim 19, further comprising:

receiving feedback information from the second client computing platform associated with the content capture user for the selected post-capture user based upon the edited version of the digital media content.