Huawei Technologies Co., Limited

Xiaolin Wu

Jin Tang

Yuanhao Yu

Yang Wang

Wentao Liu

Irina Kezele

Seyed Mehdi Ayyoubzadeh

There is provided a method, apparatus and system for adapting a machine learning model for optical flow prediction. A machine learning model can be trained or adapted based on compressed video data, using motion vector information extracted from the compressed video data as ground-truth information for use in adapting the model to a motion vector prediction task. The model so adapted can accordingly be adapted for the similar task of optical flow prediction. Thus, the model can be adapted at test time to image data which is taken from an appropriate distribution. A meta-learning process can be performed prior to such model adaptation to potentially improve the model's performance.

Growing community of inventors

Ancaster, Canada

Xiaolin Wu