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:
Jun. 30, 2026

Filed:

Feb. 14, 2022
Applicant:

Nec Corporation, Tokyo, JP;

Inventors:

Hayato Itsumi, Tokyo, JP;

Koichi Nihei, Tokyo, JP;

Florian Beye, Tokyo, JP;

Charvi Vitthal, Tokyo, JP;

Takanori Iwai, Tokyo, JP;

Yusuke Shinohara, Tokyo, JP;

Assignee:

NEC CORPORATION, Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04N 19/167 (2014.01); G06T 7/10 (2017.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06V 20/56 (2022.01); G06V 20/70 (2022.01); H04N 19/119 (2014.01); H04N 19/124 (2014.01); H04N 19/127 (2014.01); H04N 19/17 (2014.01);
U.S. Cl.
CPC ...
H04N 19/167 (2014.11); G06T 7/10 (2017.01); G06T 7/50 (2017.01); G06V 10/25 (2022.01); G06V 10/82 (2022.01); G06V 20/70 (2022.01); H04N 19/119 (2014.11); H04N 19/124 (2014.11); H04N 19/127 (2014.11); H04N 19/17 (2014.11); G06T 2207/20081 (2013.01); G06V 20/56 (2022.01);
Abstract

To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.


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