Microsoft Technology Licensing, LLC

Omkar Anand Mehendale

Chunkit Jacky Chan

Dahey Yoo

Daniel Rosenstein

Carmen Zlateff

Bradley G Weed

Ramona Canan

Ivan D Romashka

Ian N Peth

Adam K Avery

William David Sproule

Andrew Shaun Ivory

Nitin Suri

Tzong-Jhy Wang

The importance of video sections of a video file may be determined from features of the video file. The video file may be decoded to obtain video frames and audio data associated with the video frames. Feature scores for each video frame may be obtained by analyzing features of the video frame or the audio data associated with the video frame based on a local rule, a global rule, or both. The feature scores are further combined to derive a frame importance score for the video frame. Based on the feature scores of the video frames in the video file, the video file may be segmented into video sections of different section importance values.

Rule-based video importance analysis

Image curation techniques are described. In one or more implementations, one or more modules are launched for execution on a computing device. Responsive to the launch, criteria are generated automatically and without user intervention through execution of the one or more modules by a computing device. Images are curated using the generated criteria automatically and without user intervention through execution of the one or more modules, the curated images identified from a plurality of different image sources that are associated with a user. The curated images are caused to be displayed by a display device of the computing device automatically and without user intervention through execution of the one or more modules.

Image curation

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Bellevue, WA, United States of America

Omkar Anand Mehendale