Abstract:
Pull frame interpolation may include identifying a plurality of input video frames, generating a plurality of motion vectors indicating motion from a first frame of the plurality of input video frames to a second frame of the plurality of input video frames, identifying an interpolation point between the first frame and the second frame, generating a plurality of candidate interpolation motion vectors indicating motion from the first frame to the interpolation point and from the second frame to the interpolation point based on the plurality of motion vectors, selecting an interpolation motion vector from the plurality of candidate interpolation motion vectors based on a metric, and generating an interpolated frame at the interpolation point based on the selected interpolation motion vector.
Abstract:
Systems and methods are described for identifying the video content as spherical video or non-spherical video in response to determining that frame scores and video scores satisfy a threshold level. For example, a plurality of image frames can be extracted from video content, classified in a dual stage process, and scored according to particular classification and scoring mechanisms.
Abstract:
Provided are methods for synchronizing multiple video recordings of the same event using audio signals of the recordings. An algorithm is designed to generate candidate time offsets for pairwise matches of video recordings based on audio signals corresponding to the recordings, and combine the candidate time offsets to obtain the most accurate actual time offset between each pair of recordings. Each candidate time offset for each pairwise match of recordings is assigned a confidence measure indicating how likely it is that the particular time offset is correct for the given pair of recordings. The confidence measure assigned to a particular time offset is based on various components and characteristics of the audio signal pair corresponding to the video recordings.
Abstract:
Described herein are techniques related to noise reduction for image sequences or videos. A noise reduction tool includes a motion estimator configured to estimated motion in the video, a noise spectrum estimator configured to estimate noise in the video, a shot detector configured to trigger the noise estimation process, a noise spectrum validator configured to validate the estimated noise spectrum, and a noise reducer to reduce noise in the video using the estimated noise spectrum.