Facebook, Inc.

Melanie Sclar

Amit Puntambekar

Michael Hamilton Coward

Wurzel David Parsons-Keir

A neural network learning algorithm obtains a fingerprint of a video sequence. Using the fingerprint, selection of an appropriate video stabilization algorithm, and its parameter settings, is performed. The video thus stabilized is made more appealing for viewing and easier for subsequent video compression. The neural network may be trained during a training phase to select a correct fingerprint of each video sequence based on the effectiveness of resulting video stabilization and/or compression.

Neural network to optimize video stabilization parameters

Video foreground and background detection is performed on a received video sequence on a macroblock by macroblock basis using motion vector encoding information associated with each macroblock. Some of the macroblocks in each frame, for example, edge or corner macroblocks, may be exempt from the foreground and background detection. The detection information, along with the video data, is passed to an image stabilization algorithm that prepares the video for subsequent video compression.

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Menlo Park, CA, United States of America

Melanie Sclar