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:
Oct. 22, 2019

Filed:

Dec. 03, 2014
Applicant:

Apple Inc., Cupertino, CA (US);

Inventors:

Shujie Liu, Cupertino, CA (US);

Ke Zhang, San Jose, CA (US);

Xiaosong Zhou, Campbell, CA (US);

Hsi-Jung Wu, San Jose, CA (US);

Chris Y. Chung, Sunnyvale, CA (US);

James O. Normile, Los Altos, CA (US);

Douglas S. Price, Cupertino, CA (US);

Albert E. Keinath, Sunnyvale, CA (US);

Assignee:

Apple Inc., Cupertino, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/738 (2019.01); G06F 16/78 (2019.01); G06F 16/74 (2019.01); G11B 27/34 (2006.01); G06K 9/00 (2006.01); G11B 27/031 (2006.01); G11B 27/30 (2006.01); G06F 16/783 (2019.01);
U.S. Cl.
CPC ...
G06F 16/739 (2019.01); G06F 16/745 (2019.01); G06F 16/783 (2019.01); G06F 16/7837 (2019.01); G06F 16/7867 (2019.01); G06K 9/00718 (2013.01); G06K 9/00751 (2013.01); G11B 27/031 (2013.01); G11B 27/3081 (2013.01); G11B 27/34 (2013.01);
Abstract

Systems and processes for improved video editing, summarization and navigation based on generation and analysis of metadata are described. The metadata may be content-based (e.g., differences between neighboring frames, exposure data, key frame identification data, motion data, or face detection data) or non-content-based (e.g., exposure, focus, location, time) and used to prioritize and/or classify portions of video. The metadata may be generated at the time of image capture or during post-processing. Prioritization information, such as a score for various portions of the image data may be based on the metadata and/or image data. Classification information such as the type or quality of a scene may be determined based on the metadata and/or image data. The classification and prioritization information may be metadata and may be used to automatically remove undesirable portions of the video, generate suggestions during editing or automatically generate summary video.


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