The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
May. 09, 2017

Filed:

Jul. 29, 2014
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Nitin Suri, Redmond, WA (US);

Xian-Sheng Hua, Sammamish, WA (US);

Tzong-Jhy Wang, Seattle, WA (US);

William D. Sproule, Woodinville, WA (US);

Andrew S. Ivory, Woodinville, WA (US);

Jin Li, Bellevue, WA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/62 (2006.01); G06T 7/20 (2017.01); G06K 9/00 (2006.01);
U.S. Cl.
CPC ...
G06K 9/6256 (2013.01); G06K 9/00744 (2013.01); G06T 7/20 (2013.01); G06T 2207/10016 (2013.01);
Abstract

This disclosure describes techniques for training models from video data and applying the learned models to identify desirable video data. Video data may be labeled to indicate a semantic category and/or a score indicative of desirability. The video data may be processed to extract low and high level features. A classifier and a scoring model may be trained based on the extracted features. The classifier may estimate a probability that the video data belongs to at least one of the categories in a set of semantic categories. The scoring model may determine a desirability score for the video data. New video data may be processed to extract low and high level features, and feature values may be determined based on the extracted features. The learned classifier and scoring model may be applied to the feature values to determine a desirability score associated with the new video data.


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