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1.发明授权公开(公告)号：US12283110B2
公开(公告)日：2025-04-22
申请号：US18028486
申请日：2020-10-05
Applicant: NEC Corporation
Inventor： Hayato Itsumi , Yusuke Shinohara , Koichi Nihei , Takanori Iwai , Florian Beye , Charvi Vitthal
Abstract: An information processing device includes: an image acquisition unit configured to acquire an image captured by an imaging unit mounted on a vehicle; a target detection unit configured to detect a target region including a target in the acquired image; a classification identification unit configured to identify classification including a type of the detected target and a size of the detected target region; and a region determination unit configured to determine a region obtained by adding a margin corresponding to the identified classification to the target region as an image processing region.
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2.发明公开公开(公告)号：US20230334672A1
公开(公告)日：2023-10-19
申请号：US18028708
申请日：2020-10-05
Applicant: NEC Corporation
Inventor： Hayato ITSUMI , Koichi Nihei , Yusuke Shinohara , Takanori Iwai , Florian Beye , Charvi Vitthal
CPC classification number: G06T7/215 , G06T5/20 , G06T5/50 , G06T2207/10016 , G06T2207/30252
Abstract: A region prediction unit predicts the target region in the second image frame based on the target region detected in a first image frame and a time interval between the first and second image frames. The region prediction unit predicts the target region in the third image frame based on the target region detected in the second image frame and a time interval between the second and third image frames. A region determination unit determines, as an image-processing region, a region obtained by adding a margin to the target prediction region in the third image frame in accordance with an overlapping portion between the detected target region in the second image frame and the prediction region in the second image frame.
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公开(公告)号：US11620812B2
公开(公告)日：2023-04-04
申请号：US17131045
申请日：2020-12-22
Applicant: NEC CORPORATION
Inventor： Hayato Itsumi , Florian Beye , Yusuke Shinohara , Takanori Iwai
IPC: G06V10/764 , G06V10/98 , G06V10/96 , G06V10/82
Abstract: The image analysis apparatus includes: a first analysis unit that analyzes image frames by using a first image analysis model; a second analysis unit that can analyze the image frames by using a second image analysis model an analysis accuracy of which is lower; a storage unit that stores therein analyzed frames, which are already analyzed by using the first and second image analysis models, in association with an evaluation value for evaluating a result of an analysis performed with the second image analysis model; an extraction unit that extracts an analyzed frame that satisfies an extraction condition based on the evaluation value; and an update unit that updates the second image analysis model by using a result of an analysis performed with the first image analysis model on the extracted analyzed frame, and a result of an analysis performed with the first image analysis model on a new frame.
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公开(公告)号：US12211218B2
公开(公告)日：2025-01-28
申请号：US17765946
申请日：2019-10-07
Applicant: NEC Corporation
Inventor： Florian Beye , Takanori Iwai , Yusuke Shinohara , Hayato Itsumi
Abstract: An estimation unit of a visual object tracking apparatus estimates a plurality of estimated bounding boxes and estimated object IDs respectively corresponding to the estimated bounding boxes based on a plurality of predicted bounding boxes and a plurality of detected bounding boxes. For example, the “detected bounding boxes” are “bounding boxes (bounded areas)” detected by a detector in each of a plurality of frames in a time series such as moving images. The “bounding box” is a frame surrounding an image of an object detected in a frame. For example, the “predicted bounding box” is a “bounding box” predicted by a predictor based on an estimated bounding box(es) estimated for one or a plurality of frames in the past.
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公开(公告)号：US11764806B2
公开(公告)日：2023-09-19
申请号：US17467282
申请日：2021-09-06
Applicant: NEC CORPORATION
Inventor： Charvi Vitthal , Florian Beye , Koichi Nihei , Hayato Itsumi , Takanori Iwai
IPC: H03M7/00 , H03M7/30 , G06F18/214
CPC classification number: H03M7/6005 , G06F18/214 , H03M7/3059 , H03M7/3066 , H03M7/6011
Abstract: A system includes a non-transitory computer readable medium configured to store instructions thereon; and a processor connected to the non-transitory computer readable medium. The processor is configured to execute the instructions for generating a mask based on received data from a sensor, wherein the mask includes a plurality of importance values, and each region of the received data is designated a corresponding importance value of the plurality of importance values. The processor is configured to execute the instructions for encoding the received data based on the mask; and transmitting the encoded data to a decoder for defining reconstructed data. The processor is configured to execute the instructions for computing a loss based on the reconstructed data, the received data and the mask. The processor is configured to execute the instructions for providing training to an encoder for encoding the received data based on the computed loss.
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Patent Agency Ranking
公开(公告)号：US20250166345A1
公开(公告)日：2025-05-22
申请号：US18841409
申请日：2022-03-02
Applicant: NEC Corporation
Inventor： Florian Beye , Hayato Itsumi , Charvi Vitthal , Koichi Nihei
IPC: G06V10/72 , G06V10/77 , G06V10/776 , G06V10/82 , H04N19/132 , H04N19/17 , H04N19/42
Abstract: A parameter set of a first machine learning model is determined such that a first loss function becomes larger. The first loss function indicates a degree of variation from a conditional confidence of a first image feature conditional on a third image feature to a conditional confidence of a second image feature conditional on the third image feature. The third image feature is an image feature for recognition of a subject extracted from an original image. The first image feature is discriminated in a specific region of the original image by using a first machine learning model. A parameter set of each of the second machine learning model and the third machine learning model are determined such that a second loss function becomes smaller.
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公开(公告)号：US12087048B2
公开(公告)日：2024-09-10
申请号：US17765512
申请日：2019-10-07
Applicant: NEC Corporation
Inventor： Hayato Itsumi , Takanori Iwai , Florian Beye , Yusuke Shinohara
CPC classification number: G06V10/95 , G06T7/12 , G06V10/776 , G06V10/82 , G06V20/49 , G06V30/1916
Abstract: According to the present disclosure, a video analysis method and a video analysis system in which video analysis accuracy at a cloud server and an edge is improved is provided. The video analysis method includes a first image analysis step of analyzing an input image frame on the edge side, a difference value estimation step of estimating a difference value between an evaluation value of an analysis result in the first image analysis step and an evaluation value of an analysis result being predicted when the input image frame is analyzed by the cloud server, and a filtering step of determining whether to transmit the input image frame to the cloud server, based on the difference value.
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公开(公告)号：US11470248B2
公开(公告)日：2022-10-11
申请号：US17131002
申请日：2020-12-22
Applicant: NEC CORPORATION
Inventor： Yusuke Shinohara , Takanori Iwai , Hayato Itsumi , Florian Beye
IPC: H04N5/232 , H04N7/18 , G06N20/00 , H04N19/103 , G06V20/52
Abstract: A data compression apparatus includes: a compression unit that performs a compression process on output data that is sequentially outputted as time series data by a monitoring apparatus for monitoring a monitoring target range; an output unit that outputs the output data on which the compression process is performed, to a data processing apparatus that performs an object detection process for detecting an object that exists in the monitoring target range by using the output data; and a setting unit that sets a compression ratio used in the compression unit, on the basis of an accuracy information indicating a relationship between a compression ratio at which the output data is compressed and a detection accuracy of the object by the object detection process performed by using the output data compressed at the compression ratio.
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9.发明公开公开(公告)号：US20240153260A1
公开(公告)日：2024-05-09
申请号：US18280381
申请日：2021-03-09
Applicant: NEC Corporation
Inventor： Florian Beye , Yusuke Shinohara , Hayato Itsumi , Charvi Vitthal , Koichi Nihei , Takanori Iwai
IPC: G06V10/82 , G06V10/776
CPC classification number: G06V10/82 , G06V10/776
Abstract: A model learning device determines a first machine learning model so as to further increase a combined loss function obtained by combining: a first loss function indicating the level of change in the reliability of a second image feature in a feature region of a reconstructed image, from the reliability of a first image feature in a feature region of the original image; and a second loss function indicating the level of recognition error. In addition, the model learning device: determines, so as to further reduce the combined loss function, respective parameter sets for a second machine learning model used in the generation of compressed data, and a third machine learning model used in the generation of the reconstructed image from the compressed data; and determines a parameter set for the fourth machine learning model in common with that for the first machine learning model.
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10.发明公开公开(公告)号：US20240062507A1
公开(公告)日：2024-02-22
申请号：US18271642
申请日：2021-01-15
Applicant: NEC Corporation
Inventor： Florian Beye , Yusuke Shinohara , Hayato Itsumi , Koichi Nihei , Charvi Vitthal , Takanori Iwai
Abstract: An information processing device receives communication data based on feature data that indicates a feature of presented content of target data; restores the feature data on the basis of the received communication data; restores the target data on the basis of the restored feature data; performs a recognition process on the presented content of the target data on the basis of the restored feature data; and outputs information that indicates the presented content of the restored target data and a recognition result of the recognition process.
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