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1.发明公开公开(公告)号：US20240303783A1
公开(公告)日：2024-09-12
申请号：US18595002
申请日：2024-03-04
IPC分类号： G06T5/70 , G06N3/0464
CPC分类号： G06T5/70 , G06N3/0464 , G06T2207/20081
摘要： Training a neural network to extract a degradation map from a degraded image comprises generating training data comprising pairs of images, each pair of images comprising a clean source image and a degraded source image by, for each clean source image, generating a corresponding noisy image by adding spatially invariant noise to the clean source image, and blending the noisy image with the clean source image according to varying intensity levels defined by a spatially variant mask to obtain the degraded image. The training data is used to train the neural network by inputting each degraded source image to the neural network and extracting a degradation map from the degraded source image such that when the degradation map is applied to its corresponding clean source image the loss between the degraded source image and its corresponding clean source image after the degradation map is applied is minimised.
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公开(公告)号：US12069405B2
公开(公告)日：2024-08-20
申请号：US17520430
申请日：2021-11-05
CPC分类号： H04N5/9201 , H04N23/62 , H04N23/631 , H04N23/661 , H04N23/80 , H04N23/90
摘要： A video surveillance system comprising a video management system and one or more digital devices, each of the one or more digital devices being configured to emulate at least one physical video camera, and to send video streams and/or video metadata via a computer network to a video-receiving system, wherein the video management system comprises: an input interface for receiving one or more video streams from one or more video cameras and/or other video sources, a processing unit configured to receive one or more input video streams from the input interface, each input video stream corresponding to one of the received video streams, and to store the input video streams in a video repository, and an output interface configured to send, via a computer network, one or more of the input video streams and/or one or more of the stored video streams to one or more of the digital devices.
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公开(公告)号：US11921416B2
公开(公告)日：2024-03-05
申请号：US17606721
申请日：2020-09-17
发明人： Johann Citerin , Romain Bellessort
摘要： A method for setting parameters values of a video source device comprising obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.
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4.发明公开公开(公告)号：US20230142015A1
公开(公告)日：2023-05-11
申请号：US18151138
申请日：2023-01-06
CPC分类号： H04N7/181 , H04N7/04 , H04N5/77 , H04N19/177
摘要： A video surveillance system comprising a video management system, one or more computer-implemented digital devices and a plurality of application programs, the system being configured to run the programs on one of or across several of the said one or more computer-implemented digital devices, and configured to perform parallel processing of one or more groups of pictures from one or more video streams with the plurality of application programs in one or across several of the said one or more computer-implemented digital devices.
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公开(公告)号：US20240267492A1
公开(公告)日：2024-08-08
申请号：US18434490
申请日：2024-02-06
摘要： A video management system (VMS) including a recording server configured for receiving and storing a plurality of data streams and respective metadata streams, each data stream being supplied by, or associated with, respective ones of a plurality of streaming devices;
a processing unit configured to receive data via a data communication interface, and further configured to:
responsive to a trigger event, select a streaming device of the plurality of streaming devices, where the selected streaming device is associated with the trigger event,
obtain position data associated with the selected streaming device, and
determine a textual position description based on the position data of the selected streaming device at a time associated with the trigger event, wherein the textual position description describing a geographical position in a natural human language form with a common language syntax,
wherein the VMS is configured to provide the textual position description.-
公开(公告)号：US20240265704A1
公开(公告)日：2024-08-08
申请号：US18434130
申请日：2024-02-06
IPC分类号： G06V20/52 , G06F16/783 , G06F16/787 , G06T7/20 , G06T7/70
CPC分类号： G06V20/52 , G06F16/7837 , G06F16/787 , G06T7/20 , G06T7/70
摘要： The present disclosure generally relates to video surveillance systems and optionally computer-implemented video management methods for video surveillance systems. A video management system may be configured to dynamically calculate the Field-of-View (FOV) of a video camera using Geographic Information System (GIS) data.
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7.发明公开公开(公告)号：US20240112468A1
公开(公告)日：2024-04-04
申请号：US18476109
申请日：2023-09-27
发明人： Zenjie LI , Kamal NASROLLAHI
IPC分类号： G06V20/52 , G06T7/70 , G06V10/25 , G06V10/764 , G06V20/40
CPC分类号： G06V20/52 , G06T7/70 , G06V10/25 , G06V10/764 , G06V20/44 , G06V2201/07
摘要： A computer implemented method for identifying an event by processing video surveillance data from a video camera having a field of view uses a trained machine learning algorithm to detect a person in the video surveillance data and determine the location of the person in the field of view. A trained machine learning algorithm is used to classify a posture of the detected person and a detection zone within the field of view around the location of the detected person is defined. A trained machine learning algorithm is used to search for an object of a predetermined type overlapping the detection zone. An event is identified based on the posture detection and the result of the object detection.
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公开(公告)号：US11924404B2
公开(公告)日：2024-03-05
申请号：US17606734
申请日：2020-09-17
CPC分类号： H04N17/002 , G06T7/80 , H04N7/181 , H04N23/617 , H04N23/66 , H04N23/72
摘要： A method for setting a parameter value of a first video source device comprises:
determining a first set of image characteristic values from an image captured by the first video source device configured with a first set of parameter values;
obtaining a second set of image characteristic values generated from an image captured by a second video source device different from the first video source device, the second video source device being configured with a second set of parameter values;
determining if the obtained second set of image characteristic values comprises values equivalent to values of the determined first set of image characteristic values; and if there are equivalent values, setting the parameter value of the first video source device using the second set of image characteristic values.-
9.发明申请公开(公告)号：US20220236625A1
公开(公告)日：2022-07-28
申请号：US17606721
申请日：2020-09-17
发明人： Johann CITERIN , Romain BELLESSORT
摘要： A method for setting parameters values of a video source device comprising obtaining a value of an image characteristic for a current image generated by the video source device set with initial parameters values; determining a satisfaction level for the image characteristic of the current image based on the obtained value, the satisfaction level representing a probability to fulfil a task; obtaining a set of candidates, a candidate being defined as a set of parameters values; for each candidate, predicting an evolution of the satisfaction level for the image characteristic relatively to the satisfaction level determined while the video source device is set with the initial parameters values; selecting a candidate based on its predicted evolution of the satisfaction level; setting the parameters values of the video source device using the set of parameters values of the selected candidate.
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公开(公告)号：US20230325974A1
公开(公告)日：2023-10-12
申请号：US18069089
申请日：2022-12-20
IPC分类号： G06T3/40
CPC分类号： G06T3/4046 , G06T3/4053
摘要： An image processing method including acquiring a first image whose spatial resolution and lightness are to be enhanced; generating a residual image from the first image using a multi-scale hierarchical neural network for joint learning of low-light enhancement and super-resolution, the network comprising an encoder stage and a decoder stage forming a plurality of symmetrical encoder-decoder levels, each encoder and decoder in each level comprising a vision transformer block; generating a reconstructed image based on the first and residual images.
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