Disney Enterprises, Inc.

Princeton Video Image, Inc.

Howard Kennedy

Gregory House

Smadar Gefen

Sheldon Katz

Joseph DiGiovanni

Sedim Al-Araji

Carlo Basile

Embodiments relate to insertions in 3D video. Virtual camera models enable insertions to be reconciled relative to left and right channels of the 3D video to maximize 3D accuracy and realism of the insertions. Cameras are formed as composites, and can be derived from other models. The camera models can be based on a visual analysis of the 3D video, and can be based on 3D camera data including toe-in and ocular spacing. The camera data may be derived from information collected using instrumentation connect to a 3D camera system, derived based on visual analysis of the 3D video, or derived using a combination of information collected using instrumentation and visual analysis of 3D video. Insertions can be made on-site or at a remote site, and camera data can be embedded in the 3D video and/or separately transmitted to a remote site. Insertions can be adjusted in 3D space based on a type of insertion, the 3D video scene composition, and/or user feedback, including interactive adjustment of 3D insertions and adjustments in view of user sensitivity to eye strain.

Virtual insertions in 3D video

An accurate camera pose is determined by pairing a first camera with a second camera in proximity to one another, and by developing a known spatial relationship between them. An image from the first camera and an image from the second camera are analyzed to determine corresponding features in both images, and a relative homography is calculated from these corresponding features. A relative parameter, such as a focal length or an extrinsic parameter is used to calculate a first camera's parameter based on a second camera's parameter and the relative homography.

System and method for determining the current parameters of a zoomable camera

A system and method for receiving positional data corresponding to stages of movement of a person within a time interval, determining from the positional data, at each stage of movement, one of: a position, an orientation, and a pose of the person, and based on the one of the position, the orientation, and the pose of the person determined for each stage of movement, generating a visualization graphic, separate from a display of the person, that illustrates one of the positions, orientations, and poses of the person at the stages of movement within the time interval.

Method and system for visualization of athletes

Embodiments of this invention relate to preprocessing video such that visual elements, such as advertisements, can be inserted at a later point in time when the video is requested by a user. In an embodiment, a video and target data is received. The video is analyzed to determine how a target moves and changes over time. Metadata describing how the target moves and changes over time is stored. When a user requests an on-demand video such as from a video sharing site, a visual element is inserted into the video. The visual elements move and change as defined in the stored metadata. In this way, advertisements can be inserted into on-demand video such as video from a video sharing website.

Preprocessing video to insert visual elements and applications thereof

Embodiments of this invention relate to controlling insertion of visual elements integrated into video. In an embodiment, a method enables control of insertions in a video. In the embodiment, control data is received from a user input device. Movement of at least one point of interest in a video is analyzed to determine video metadata. Finally, a visual element is inserted into a video according to the control data, and the visual element changes or moves with the video as specified by the video metadata to appear integrated with the video.

Interactive video insertions, and applications thereof

A system and method for positioning a cursor associated with a dynamic background is described. In a first step, the position of the dynamic background in a first frame is calculated. In a second step, the position of the dynamic background in a second frame is calculated. In a third step, the change in position of the dynamic background from the first frame to the second frame is calculated. Lastly, the position of the cursor in the second frame is adjusted according to the change in position of the dynamic background. The change in position of the dynamic background from the first frame to the second frame can be calculated in one, two or three dimensions. Likewise, the position of the cursor in the second frame can be adjusted in one, two or three dimensions. This advantage allows for easier positioning of the cursor by a user on a desired object in the display.

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Hamilton Square, NJ, United States of America

Howard Kennedy