Disney Enterprises, Inc.

Princeton Video Image, Inc.

Bright Cloud International Corporation

Gregory House

Smadar Gefen

Sheldon Katz

Yuecheng Zhang

Ilke Levent Akin

Ximin Gong

Howard Kennedy

Kevin Harney

Grigore Cristian Burdea

Nikhil Deshpande

Joseph DiGiovanni

Cen Rao

James L Jeffers

Eyal Shamur

Jay Digiovanni

A method for visualizing plays in a sporting event may include receiving a video stream of the sporting event and a measurement stream, asynchronous to the video stream, associated with objects in the sporting event. The method may further include displaying a synchronized presentation of the video stream and the measurement stream. The synchronization may be performed near the time of the displaying. Another method for visualizing plays in a sporting event may include receiving measurement information related to actions from one or more sporting events. The method may also include identifying plays from the actions using the measurement information and displaying a representation of the identified plays. A system for visualizing plays in a sporting event may include an integrated server and a synchronization mechanism. Another method for visualizing plays in a sporting event may include displaying a video of a play selected from a representation.

Play sequence visualization and analysis

Techniques are described for deriving information, including graphical representations, based on perspectives of a 3D scene by utilizing sensor model representations of location points in the 3D scene. A 2D view point representation of a location point is derived based on the sensor model representation. From this information, a data representation can be determined. The 2D view point representation can be used to determine a second 2D view point representation. Other techniques include using sensor model representations of location points associated with dynamic objects in a 3D scene. These sensor model representations are generated using sensor systems having perspectives external to the location points and are used to determine a 3D model associated with a dynamic object. Data or graphical representations may be determined based on the 3D model. A system for obtaining information based on perspectives of a 3D scene includes a data manager and a renderer.

View point representation for 3-D scenes

Systems and methods for analyzing scenes from cameras imaging an event, such as a sporting event broadcast, are provided. Systems and methods include detecting and tracking patterns and trails. This may be performed with intra-frame processing and without knowledge of camera parameters. A system for analyzing a scene may include an object characterizer, a foreground detector, an object tracker, a trail updater, and a video annotator. Systems and methods may provide information regarding centers and spans of activity based on object locations and trails, which may be used to control camera field of views such as a camera pose and zoom level. A magnification may be determined for images in a video sequence based on the size of an object in the images. Measurements may be determined from object trails in a video sequence based on an effective magnification of images in the video sequence.

Objects trail-based analysis and control of video

The majority of cognitive virtual reality (VR) applications have been for therapy, and not cognitive screening/scoring. Provided herein is the BrightScreener&#x2122; and its first pilot feasibility study for evaluating elderly with various degrees of cognitive impairment. BrightScreener is a portable (laptop-based) serious-gaming system which incorporates a bimanual game interface for more ecological 3D interaction with virtual worlds. A pilot study determined that BrightScreener is able to differentiate levels of cognitive impairment based solely on game performance, as well as to evaluate the technology acceptance by the target population. Subsequent group analysis of the Pearson correlation coefficient showed a high degree of correlation between the subjects' MMSE scores and their Composite Game Scores (0.90, |P|&#x3c;0.01). Despite the small sample size (n=11), results suggest that serious-gaming strategies can be used as a digital technique to stratify levels of Cognitive Impairment. This may be an alternative to conventional standardized scoring for Mild Cognitive Impairment and Dementia, especially for patients with hearing and speech deficits.

Bimanual computer games system for dementia screening

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

Object trail-based analysis and control of video

A method, apparatus, and computer program product are described to improve a lens distortion curve which roughly approximates distortion caused by a camera lens to capture an event onto video. The present invention selects a generic lens distortion curve that roughly approximates the distortion caused by the camera lens while capturing the event onto the video. The video as well as information from the generic lens distortion curve is used to generate a camera model. This camera model is used to integrate virtual insertions into the video. If the camera model is sufficiently accurate to present a realistic appearance of the virtual insertions to the remote viewer, this camera model is then used to integrate more virtual insertions into the video. However, if the camera model is not sufficiently accurate, an iterative process is employed to refine this camera model.

Lens distortion method for broadcast video

A method for automatically tracking multiple objects from a sequence of video images that may extract raw data about participating elements in a sporting, or other event, in a way that does not interfere with the actual participating elements in the event. The raw data may include the position and velocity of the players, the referees, and the puck, as well as the team affiliation of the players. These data may be collected in real time and may include accounting for players moving fast and unpredictably, colliding with and occluding each other, and getting in and out of the playing field. The video sequence, captured by a suitable sensor, may be processed by a suitably programmed general purpose computing device.

Multiple-object tracking and team identification for game strategy analysis

A method for video insertion using backpropagation may include determining a first camera model from a first frame of the sequence. The method may also include determining a transition location. The method may further include generating a transform model based on an analysis of the first frame and a second frame that occurs earlier in the video sequence and applying the transform model to the first camera model to generate a second camera model for the second frame. The method then includes inserting an insertion into one or more frames earlier in the sequence between the second frame and the transition location based on the second camera model, wherein the inserting is performed before displaying the frames. A system for video insertion using backpropagation includes search, transition, track and insertion subsystems.

Backpropagating a virtual camera to prevent delayed virtual insertion

A method, apparatus, and computer program product are described that utilizes spatial modeling to represent foreground objects of an event to allow virtual graphics to be integrated into a background of the event in the presence of dynamic objects. The present invention detects a presence of dynamic objects within a region of interest from a video depicting the event. The present invention produces a suppression key corresponding to the dynamic object when present in the video or a suppression key with a default value when and where no dynamic object is present in the video.

Key generation through spatial detection of dynamic objects

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.

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Doylestown, PA, United States of America

Gregory House