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公开(公告)号：US11157769B2
公开(公告)日：2021-10-26
申请号：US16407200
申请日：2019-05-09
Applicant: Realtek Semiconductor Corp.
Inventor： Chun-Chang Wu , Shih-Tse Chen
IPC: G06K9/62
Abstract: An image processing circuit includes a receiving circuit, a feature fetching module and a decision circuit. In the operations of the image processing circuit, the receiving circuit is configured to receive image data. The feature fetching module is configured to use a multi-topological-convolutional network to fetch the features of the image data, to generate a plurality of image features determined by the characteristics and weights of the convolution filter, where the image features may be smooth features or edge features. In the present invention, the convolution filters used by the feature fetching module are not limited by a square convention filter, and the convolution filters may include the multiple topological convolutional network having non-square convolution filters. By using the multiple topological convolutional network of the present invention, the feature fetching module can fetch the rich image features for identifying the contents of the image data.
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2.发明授权公开(公告)号：US11423635B2
公开(公告)日：2022-08-23
申请号：US16876294
申请日：2020-05-18
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Chun-Chang Wu , Shih-Tse Chen
Abstract: A method for processing image using fully connected convolutional neural network and a circuit system are provided. The method is operated using fully connected convolutional neural network (CNN) and performed by the circuit system. In the method, an image with a length, a width and an aspect ratio is obtained. A reference image closest to the input image can be obtained by querying a lookup table that records multiple reference images with various sizes to be adapted to the fully connected CNN. The input image can be resized as the closest reference image. A convolution operation is then performed onto the resized image, and a feature cube is formed after multiple operations of convolution. The feature cube is transformed to one-dimensional feature values that are configured to be inputted to a fully connected layer for fully connected operation. An output value of the fully connected CNN is generated.
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公开(公告)号：US11275966B2
公开(公告)日：2022-03-15
申请号：US16790979
申请日：2020-02-14
Applicant: REALTEK SEMICONDUCTOR CORP.
Inventor： Chun-Chang Wu , Shih-Tse Chen
Abstract: A calculation method using pixel-channel shuffle convolutional neural network is provided. In the method, an operating system receives original input data. The original input data is pre-processed by a pixel shuffle process to be separated into multiple groups in order to minimize dimension of the data. The multiple groups of data are then processed by a channel shuffle process so as to form multiple groups of new input data selected for convolution operation. The unselected data are abandoned. Therefore, the dimension of the input data can be much effectively minimized. A multiplier-accumulator of the operating system is used to execute convolution operation using a convolution kernel and the multiple new groups of input data. Multiple output data are then produced.
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Patent Agency Ranking
公开(公告)号：US20210074001A1
公开(公告)日：2021-03-11
申请号：US16744208
申请日：2020-01-16
Applicant: Realtek Semiconductor Corp.
Inventor： Shang-Lun Chan , Chao-Hsun Yang , Chun-Chang Wu , Shih-Tse Chen
Abstract: A motion detection method includes acquiring a raw image, detecting a motion object image according to the raw image by using a motion detector, cropping the raw image to generate a sub-image according to the motion object image, and inputting the sub-image to a processor for determining if a motion object of the sub-image matches with a detection category. The processor includes a neural network. The shape of the sub-image is a polygonal shape.
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公开(公告)号：US20200097761A1
公开(公告)日：2020-03-26
申请号：US16407200
申请日：2019-05-09
Applicant: Realtek Semiconductor Corp.
Inventor： Chun-Chang Wu , Shih-Tse Chen
IPC: G06K9/62
Abstract: An image processing circuit includes a receiving circuit, a feature fetching module and a decision circuit. In the operations of the image processing circuit, the receiving circuit is configured to receive image data. The feature fetching module is configured to use a multi-topological-convolutional network to fetch the features of the image data, to generate a plurality of image features determined by the characteristics and weights of the convolution filter, where the image features may be smooth features or edge features. In the present invention, the convolution filters used by the feature fetching module are not limited by a square convention filter, and the convolution filters may include the multiple topological convolutional network having non-square convolution filters. By using the multiple topological convolutional network of the present invention, the feature fetching module can fetch the rich image features for identifying the contents of the image data.
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公开(公告)号：US11200681B2
公开(公告)日：2021-12-14
申请号：US16744208
申请日：2020-01-16
Applicant: Realtek Semiconductor Corp.
Inventor： Shang-Lun Chan , Chao-Hsun Yang , Chun-Chang Wu , Shih-Tse Chen
Abstract: A motion detection method includes acquiring a raw image, detecting a motion object image according to the raw image by using a motion detector, cropping the raw image to generate a sub-image according to the motion object image, and inputting the sub-image to a processor for determining if a motion object of the sub-image matches with a detection category. The processor includes a neural network. The shape of the sub-image is a polygonal shape.
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公开(公告)号：US20210074002A1
公开(公告)日：2021-03-11
申请号：US16745258
申请日：2020-01-16
Applicant: Realtek Semiconductor Corp.
Inventor： Chao-Hsun Yang , Shang-Lun Chan , Chun-Chang Wu , Shih-Tse Chen
Abstract: A motion image integration method includes acquiring a raw image, detecting a first motion region image and a second motion region image by using a motion detector according to the raw image, merging the first motion region image with the second motion region image for generating a motion object image according to a relative position between the first motion region image and the second motion region image, and cropping the raw image to generate a sub-image corresponding to the motion object image according to the motion object image. A range of the motion object image is greater than or equal to a total range of the first motion region image and the second motion region image. Shapes of the first motion region image, the second motion region image, and the motion object image are polygonal shapes.
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公开(公告)号：US11270442B2
公开(公告)日：2022-03-08
申请号：US16745258
申请日：2020-01-16
Applicant: Realtek Semiconductor Corp.
Inventor： Chao-Hsun Yang , Shang-Lun Chan , Chun-Chang Wu , Shih-Tse Chen
Abstract: A motion image integration method includes acquiring a raw image, detecting a first motion region image and a second motion region image by using a motion detector according to the raw image, merging the first motion region image with the second motion region image for generating a motion object image according to a relative position between the first motion region image and the second motion region image, and cropping the raw image to generate a sub-image corresponding to the motion object image according to the motion object image. A range of the motion object image is greater than or equal to a total range of the first motion region image and the second motion region image. Shapes of the first motion region image, the second motion region image, and the motion object image are polygonal shapes.
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