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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.

Patent No.:

US 10276213 B1

PDFFull Text
Date of Patent:
Apr. 30, 2019

Filed:

May. 22, 2017

Automatic and intelligent video sorting

Applicant:

Adobe Inc., San Jose, CA (US);

Inventors:

Sagar Tandon, Uttar Pradesh, IN;

Andaleeb Fatima, Noida, IN;

Abhishek Shah, Delhi, IN;

Assignee:

Adobe Inc., San Jose, CA (US);

Attorney:

Brake Hughes Bellermann LLP

Primary Examiner:

Helen Shibru

Int. Cl.
CPC ...
H04N 9/80 (2006.01); G11B 27/34 (2006.01); G06K 9/00 (2006.01); G11B 27/031 (2006.01); G11B 27/22 (2006.01); G06F 16/78 (2019.01); G06F 16/783 (2019.01);
U.S. Cl.
CPC ...
G11B 27/34 (2013.01); G06F 16/784 (2019.01); G06F 16/7867 (2019.01); G06K 9/00718 (2013.01); G06K 9/00751 (2013.01); G06K 9/00765 (2013.01); G11B 27/031 (2013.01); G11B 27/22 (2013.01);
Abstract

Systems and methods disclosed herein provide automatic and intelligent video sorting in the context of creating video compositions. A computing device sorts a media bin of videos in the user's work area based on similarity to the videos included in the video composition being created. When a user selects or includes a particular video on the composition's timeline, the video is compared against the entire video collection to change the display of videos in the media bin. In one example, videos that have similar tags to a selected video are prioritized at the top. Only a subset of frames of each of the videos are used to use to identify video tags. Intelligently selecting tags using a subset of frames from each video rather than using all frames enables more efficient and accurate tagging of videos, which facilitates quicker and more accurate comparison of video similarities.

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