- Santa Clara CA, US Rev LEBAREDIAN - Los Gatos CA, US Jonathan SMALL - Charlottesville VA, US Ivan SHUTOV - Zalegosch, RU
International Classification:
G06T 17/20 G06T 15/50 G06T 15/20 A63F 13/525
Abstract:
Multiple snapshots of a scene are captured within an executing application (e.g., a video game). When each snapshot is captured, associated color values per pixel and a distance or depth value z per pixel are stored. The depth information from the snapshots is accessed, and a point cloud representing the depth information is constructed. A mesh structure is constructed from the point cloud. The light field(s) on the surface(s) of the mesh structure are calculated. A surface light field is represented as a texture. A renderer uses the surface light field with geometry information to reproduce the scene captured in the snapshots. The reproduced scene can be manipulated and viewed from different perspectives.
System And Method For Creating And Maintaining A Database Of Annotations Corresponding To Portions Of A Content Item
- Leesburg VA, US Jonathan Small - Charlottesville VA, US David Marsh - Charlottesville VA, US Christopher Melissinos - Ashburn VA, US
Assignee:
GoPop.TV, Inc. - Leesburg VA
International Classification:
G06F 17/30
US Classification:
707756, 707736
Abstract:
Methods, apparatuses, and/or systems are provided for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and more particularly for creating and maintaining a database of annotations corresponding to portions of a content item.
System And Method For Managing Reactions To Annotations
- Leesburg VA, US Jonathan Small - Charlottesville VA, US David Marsh - Charlottesville VA, US
Assignee:
GoPop.TV, Inc. - Leesburg VA
International Classification:
G06F 17/24
US Classification:
715230
Abstract:
Methods, apparatuses, and/or systems are provided for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and for managing reactions to annotations (e.g., comments).
System And Method For Providing A Dataset Of Annotations Corresponding To Portions Of A Content Item
Methods, apparatuses, and/or systems are provided for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and for presenting content items, annotations (e.g., comments) associated with the content items, or related items.
System And Method For Providing Rewards Based On Annotations
Methods, apparatuses, and/or systems are providing for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and more particularly to providing rewards to users when they create annotations (e.g., comments), when other users interact with their annotations, when transactions are enabled via their annotations, or for other reasons.
System And Method For Sharing Portions Of A Content Item
Methods, apparatuses, and/or systems are provided for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and for enabling sharing of access to portions of a content item with users across a plurality of content delivery services.
System And Method For Providing Annotations Received During Presentations Of A Content Item
- Leesburg VA, US Jonathan Small - Charlottesville VA, US David Marsh - Charlottesville VA, US Christopher Melissinos - Ashburn VA, US
Assignee:
GoPop. TV, Inc. - Leesburg VA
International Classification:
H04N 21/4788 H04N 21/81 H04N 21/45 H04N 21/231
US Classification:
725 34, 725 32
Abstract:
Methods, apparatuses, and/or systems are provided for enabling a time-shifted, on-demand social network for watching, creating, and/or sharing time-shifted annotation datasets (e.g., commentary tracks) synced to any on-demand programming, and more particularly to providing (e.g., displaying) annotations (e.g., comments) received during presentations of a content item.