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:
Feb. 25, 2020

Filed:

Mar. 31, 2015
Applicant:

Beijing Shunyuan Kaihua Technology Limited, Haidian District, Beijing, CN;

Inventors:

Zheng Han, Beijing, CN;

Xiaowei Dai, Beijing, CN;

Xianjun Huang, Beijing, CN;

Fan Yang, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/46 (2006.01); G11B 27/036 (2006.01); G11B 27/034 (2006.01); G11B 27/28 (2006.01); G11B 27/031 (2006.01); G11B 27/06 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00724 (2013.01); G06K 9/00751 (2013.01); G06K 9/4628 (2013.01); G11B 27/031 (2013.01); G11B 27/034 (2013.01); G11B 27/036 (2013.01); G11B 27/06 (2013.01); G11B 27/28 (2013.01);
Abstract

A solution is provided for detecting in real time video highlights in a sports video at a mobile computing device. A highlight detection module of the mobile computing device extracts visual features from each video frame of the sports video using a trained feature model and detects a highlight in the video frame based on the extracted visual features of the video frame using a trained detection model. The feature model and detection model are trained with a convolutional neural network on a large corpus of videos to generate category level and pair-wise frame feature vectors. Based on the detection, the highlight detection module generates a highlight score for each video frame of the sports video and presents the highlight scores to users of the computing device. The feature model and detection model are dynamically updated based on the real time highlight detection data collected by the mobile computing device.


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