Gopro, Inc.

Guillaume Oulès

Anaïs Oulès

Steven Fortunato

Jean Patry

Evan Kosowski

Thomas Achddou

Guillaume Abbe

Anais Oulès

Joshua T Druker

Daryl Stimm

Anandhakumar Chinnaiyan

Jonathan Leland Thorn

Alexis Lefebvre

David Sherpa

Séraphin Cyrille Philippe Bonnaffé

Nicolas Chesné

Maxime Renaudet

Anais Oulés

Visual content of a video may depict a target. Multiple stable features of the target, such as multiple stable parts of the target and/or multiple stable properties (e.g., dimensions, center) of the target may be identified for use in applying a visual effect. Application of the visual effect to the video may be improved by use of the multiple stable features of the target.

Identification of visual features for applying effect

An image capture device may capture images of the night sky while fixed in place. Changes in positions of stars depicted within the images may be used to determine the center of rotation for the images. The images may be rotated about the center of rotation and combined to generate a night sky image with a higher signal-to-noise ratio.

Systems and methods for generating night sky images

Scenes depicted within different media items may be used to generate in-between visual content for the different media items. The different media items may be combined by using the in-between visual content to fill a visual gap between the different media items. The in-between visual content may provide visual continuity between the different media items.

System and methods for simulating continuity between separate media items

Locations in which a person is depicted within video frames may be determined to identify portions of the video frames to be included in a composite video. A background image not including any depiction of the person may be generated, and the identified portions of the video frames may be inserted into the background image to generate the composite video.

Composite video generation

A graphical user interface may provide presentation of a video edit during video edit playback. The video edit may include a segment of a video. When a user modifies the segment of the video included in the video edit, the graphical user interface may automatically switch the presentation of the video edit into presentation of the original video.

Systems and methods for switching between video views

A playback of a video may be generated to include accompaniment of music. For parts of the video that includes voice, an instrumental version of the music may be used. For parts of the video that does not include voice, a singing version of the music may be used.

Utilizing multiple versions of music for video playback

An image capture device may analyze visual content to determine a smile aggregation value. The smile aggregation value satisfying a smile aggregation criterion may indicate that people depicted in the visual content are smiling. When the smile aggregation value satisfies the smile aggregation criterion, the capture of visual content may be started. When the smile aggregation value fails to satisfy the smile aggregation criterion, the capture of visual content may be stopped.

Automatic capture of content using smile detection

Music may be selected to provide accompaniment for a video edit of a video. Characteristics of the music may be determined and used to select the types of visual effects that are applied in the video edit. The characteristics of the music may be extracted from MIDI file/metadata track containing MIDI information for the music.

Video editing using music characteristics

Placement of a face depicted within a video may be determined. One or more stabilization options for the video may be obtained. Stabilization option(s) may include angle stabilization option, a position stabilization option, and/or a size stabilization option. The video may be stabilized based on the placement of the face and the stabilization option(s).

Stabilization of face in video

A media summary is generated to include portions of media items. The portions of media items identified for inclusion in the media summary is determined based on the length of the media summary and classification of content depicted within the media items. Classification of content depicted within the media items includes number of smiles depicted within the media items.

Media summary generation

A video may include a capture of a scene, such as a wide-field of view capture of the scene. A punchout of the video may provide a framing of the captured scene. The punchout may be determined based on the context of the video, such as the type of captured scene within the video, the motion of the image capture device that captured the video, and/or the motion of one or more things within the captured scene.

Systems and methods for framing videos

Depiction of a physical whiteboard may be captured by an image capture device. The depiction of the physical whiteboard may be detected and used to generate a virtual whiteboard. A change in the depiction of the physical whiteboard may be detected and used to change the virtual whiteboard. A virtual change to the virtual whiteboard may be received and used to change the virtual whiteboard. The change to the virtual whiteboard based on the virtual change may be projected on top of the physical whiteboard.

Digitization of whiteboards

Pose of a person depicted within a video may be determined. The pose of the person depicted within the video may be used to edit the video. Visual effects may be applied to the video based on the pose of the person depicted within the video. Timing of the video may be remapped to timing of music providing accompaniment for the video edit.

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Bordeaux, France

Guillaume Oulès