Microsoft Technology Licensing, LLC

Nicholas Tegan Heckman

Nitin Suri

Steven C Peterson

Ohad Atia

Jason Allen Whitehouse

Techniques and solutions are described for executing a video processing task. A video processing task is received that includes one or more operations to be performed on a digital video file and an identifier of the digital video file. The video processing task is divided into subtasks of operations to be performed on fragments of the video, such as fragments having a particular duration. The duration can correspond to a duration used for video streaming Compared with video processing that is performed as a single task, disclosed techniques can provide improved fault tolerance, as only failed tasks need to be reprocessed. Video processing subtasks can be distributed to a plurality of workers, which can further improve fault tolerance, and can increase the computing power available for video processing, including allowing for the use of heterogenous or unreliable workers.

Processing of video operations as subtasks for video fragments

A method and system for uploading a media file container from a first device to a second device are described herein, including receiving an instruction to upload the media file container and in response, reading a metadata box of the media file container to locate a track box containing information about audio data, including a size and a location of the audio data, in a media data box of the media file container, identifying the audio data in the media data box using the information from the track box, packaging the identified audio data from the media data box into an audio byte stream separate from the media data box, and uploading the audio byte stream to the second device prior to completing upload of the media file container.

Self-driven adaptive upload

A method and system for uploading a media file container from a first device to a second device are described herein, including receiving an instruction to upload the media file container and in response, reading a metadata box of the media file container to locate a track box containing information about video data in a media data box, identifying sample frames of the video data throughout a duration of the video data in the media data box using information from the track box, packaging the identified sample frames, and uploading the packaged sample frames of the video data prior to completing upload of the media file container.

One or more techniques and/or systems are disclosed for improving face detection in an image. A user may select a first eye location while viewing the image (e.g., per red-eye reduction) and a first indication of user input, comprising the location selected by the user, can be received. The first eye location in the image can then be used to determine a face location in the image (and a second user indicated eye location can be used as well). The location of the face can be identified in the image, and the image with the identified face location can be provided to a face detection and/or recognition operation, for example.

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Kirkland, WA, United States of America

Nicholas Tegan Heckman