Gopro, Inc.

The University of Texas System

Aaron Staranowicz

Ryan Lustig

Desmond Chik

Balineedu Chowdary Adsumilli

Gian-Luca Mariottini

Christopher T Ray

Methods and apparatus for the generation of interpolated frames of video data. In one embodiment, the interpolated frames of video data are generated by obtaining two or more frames of video data from a video sequence; determining frame errors for the obtained two or more frames from the video sequence, determining whether the frame errors exceed a threshold value; performing a multi-pass operation; performing a single-pass operation; performing frame blending; performing edge correction; and generating the interpolated frame of image data.

Apparatus and methods for artifact detection and removal using frame interpolation techniques

A system for predicting medical events and conditions that are reflected in gait may include a data capture subsystem configured to capture data pertaining to a position and/or motion of a patient, a data analysis and outcome generation subsystem configured to analyze the captured data and to generate output pertaining to a likelihood of the patient experiencing a medical event or medical condition, and a user interface subsystem configured to provide the output to a user, e.g., healthcare provider, and to receive feedback from the user. Methods for predicting medical events and conditions reflected in gait are also provided.

Systems, apparatuses and methods for predicting medical events and conditions reflected in gait

Apparatus and methods for video image post-processing for segmentation based interpolation. In one embodiment, a computerized apparatus is utilized in order to obtain a first frame of video data; segment one or more objects within the first frame of video data; obtain a second frame of video data; segment one or more objects within the second frame of video data; match at least a portion of the one or more objects within the first frame of video data with the one or more objects within the second frame of video data; compute the motion of the pixels for the matched portion of the one or more objects; compute the motion of pixels associated with a background image; and generate an interpolated frame of video data, the interpolated frame of video data residing temporally between the first frame of video data and the second frame of video data.

Apparatus and methods for video image post-processing for segmentation-based interpolation

Methods and apparatus for the generation of interpolated frames of video data. In one embodiment, the interpolated frames of video data are generated by obtaining two or more frames of video data; performing Lagrangian interpolation on one or more portions of the obtained two or more frames of video data to generate a Lagrangian interpolated image; performing Eulerian interpolation on one or more portions of the obtained two or more frames to generate a Eulerian interpolated image; and when the Lagrangian interpolated image and the Eulerian interpolated image should be combined, computing an average interpolated image using the Lagrangian interpolated image and the Eulerian interpolated image; otherwise, selecting either the Lagrangian interpolated image or the Eulerian interpolated image; and generating an interpolated frame of video data using one or more of the average interpolated image, the Lagrangian interpolated image, or the Eulerian interpolated image.

Growing community of inventors

Carlsbad, CA, United States of America

Aaron Staranowicz