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:
Aug. 20, 2019

Filed:

Aug. 30, 2017
Applicant:

Peking University, Beijing, CN;

Inventors:

Yonghong Tian, Beijing, CN;

Lin Ding, Beijing, CN;

Tiejun Huang, Beijing, CN;

Wen Gao, Beijing, CN;

Assignee:

PEKING UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/54 (2014.01); H04N 19/172 (2014.01); G06N 3/08 (2006.01); G06K 9/00 (2006.01); G06K 9/62 (2006.01); H04L 29/08 (2006.01);
U.S. Cl.
CPC ...
H04N 19/54 (2014.11); G06K 9/00744 (2013.01); G06K 9/6232 (2013.01); G06N 3/08 (2013.01); H04N 19/172 (2014.11); G06K 9/6215 (2013.01); G06K 9/6262 (2013.01); H04L 67/10 (2013.01);
Abstract

Embodiments of the present disclosure provide a method, an apparatus, and a system for deep feature coding and decoding. The method comprises: extracting features of respective video frames; determining types of the features, the types reflecting time-domain correlation degrees between the features and a reference feature; encoding the features using predetermined coding patterns matching the types to obtain coded features; and transmitting the coded features to the server such that the server decodes the coded features for a vision analysis task. By using the embodiments of the present disclosure, videos per se may not be transmitted to the cloud server; instead, the features of the video, after being encoded, are transmitted to the cloud server for a vision analysis task; compared with the prior art, data transmission pressure may be lowered, and the storage pressure at the cloud server may also be lowered.


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