公开(公告)号：US10430661B2

公开(公告)日：2019-10-01

申请号：US15384831

申请日：2016-12-20

Applicant: Adobe Inc.

Inventor： Hao Hu ,  Zhaowen Wang ,  Joon-Young Lee ,  Zhe Lin

IPC: G06K9/00 ,  G06K9/46 ,  G06K9/62 ,  G06N3/04

Abstract: Techniques and systems are described to generate a compact video feature representation for sequences of frames in a video. In one example, values of features are extracted from each frame of a plurality of frames of a video using machine learning, e.g., through use of a convolutional neural network. A video feature representation is generated of temporal order dynamics of the video, e.g., through use of a recurrent neural network. For example, a maximum value is maintained of each feature of the plurality of features that has been reached for the plurality of frames in the video. A timestamp is also maintained as indicative of when the maximum value is reached for each feature of the plurality of features. The video feature representation is then output as a basis to determine similarity of the video with at least one other video based on the video feature representation.