公开(公告)号：US11250244B2

公开(公告)日：2022-02-15

申请号：US16814453

申请日：2020-03-10

Applicant: NEC Laboratories America, Inc.

Inventor： Biplob Debnath ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Debayan Deb

IPC: G06K9/00 ,  G06K9/62

Abstract: Methods and systems for image clustering include matching a new image to a representative image of a cluster. The new image is set as a representative of the cluster with a first time limit. The new image is set as a representative of the cluster with a second time limit, responsive to a determination that the new image has matched at least one incoming image during the first time limit.

公开(公告)号：US20200293759A1

公开(公告)日：2020-09-17

申请号：US16814453

申请日：2020-03-10

Applicant: NEC Laboratories America, Inc.

Inventor： Biplob Debnath ,  Giuseppe Coviello ,  Srimat Chakradhar ,  Debayan Deb

IPC: G06K9/00 ,  G06K9/62

Abstract: Methods and systems for image clustering include matching a new image to a representative image of a cluster. The new image is set as a representative of the cluster with a first time limit. The new image is set as a representative of the cluster with a second time limit, responsive to a determination that the new image has matched at least one incoming image during the first time limit.

公开(公告)号：US11423262B2

公开(公告)日：2022-08-23

申请号：US16522711

申请日：2019-07-26

Applicant: NEC Laboratories America, Inc.

Inventor： Biplob Debnath ,  Debayan Deb ,  Srimat Chakradhar

IPC: G06K9/62 ,  G06N20/10 ,  G06T7/00

Abstract: A method is provided for classifying objects. The method detects objects in one or more images. The method tags each object with multiple features. Each feature describes a specific object attribute and has a range of values to assist with a determination of an overall quality of the one or more images. The method specifies a set of training examples by classifying the overall quality of at least some of the objects as being of an acceptable quality or an unacceptable quality, based on a user's domain knowledge about an application program that takes the objects as inputs. The method constructs a plurality of first-level classifiers using the set of training examples. The method constructs a second-level classifier from outputs of the first-level automatic classifiers. The second-level classifier is for providing a classification for at least some of the objects of either the acceptable quality or the unacceptable quality.

公开(公告)号：US20200050899A1

公开(公告)日：2020-02-13

申请号：US16522711

申请日：2019-07-26

Applicant: NEC Laboratories America, Inc.

Inventor： Biplob Debnath ,  Debayan Deb ,  Srimat Chakradhar

IPC: G06K9/62 ,  G06T7/00 ,  G06N20/10

Abstract: A method is provided for classifying objects. The method detects objects in one or more images. The method tags each object with multiple features. Each feature describes a specific object attribute and has a range of values to assist with a determination of an overall quality of the one or more images. The method specifies a set of training examples by classifying the overall quality of at least some of the objects as being of an acceptable quality or an unacceptable quality, based on a user's domain knowledge about an application program that takes the objects as inputs. The method constructs a plurality of first-level classifiers using the set of training examples. The method constructs a second-level classifier from outputs of the first-level automatic classifiers. The second-level classifier is for providing a classification for at least some of the objects of either the acceptable quality or the unacceptable quality.