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公开(公告)号:US10671887B2
公开(公告)日:2020-06-02
申请号:US15831638
申请日:2017-12-05
Applicant: Axis AB
Inventor: Niclas Danielsson , Markus Skans
Abstract: Methods and apparatus, including computer program products, for creating a quality annotated training data set of images for training a quality estimating neural network. A set of images depicting a same object is received. The images in the set of images have varying image quality. A probe image whose quality is to be estimated is selected from the set of images. A gallery of images is selected from the set of images. The gallery of images does not include the probe image. The probe image is compared to each image in the gallery and a match score is generated for each image comparison. Based on the match scores, a quality value is determined for the probe image. The probe image and its associated quality value are added to a quality annotated training data set for the neural network.
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公开(公告)号:US10313693B2
公开(公告)日:2019-06-04
申请号:US15344079
申请日:2016-11-04
Applicant: Axis AB
Inventor: Xing Danielsson Fan , Niclas Danielsson
IPC: H04N19/426 , H04N19/597 , H04N19/139 , H04N19/137 , H04N19/136 , H04N19/176 , H04N19/182 , H04N13/161 , G06K9/52 , G06K9/62
Abstract: Described is a method and apparatus for controlling a degree of compression of a digital image, and more specifically to such method and apparatus which receives a stereoscopic digital image, and controls a degree of compression of the digital image based on block matching characteristics between the two images of the stereoscopic digital image.
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公开(公告)号:US09990199B2
公开(公告)日:2018-06-05
申请号:US14859041
申请日:2015-09-18
Applicant: Axis AB
Inventor: Niclas Danielsson , Mikael Asker , Hans-Peter Nilsson , Markus Skans , Mikael Pendse
CPC classification number: G06F9/30058 , G06T1/20
Abstract: A method and system are disclosed. The method may include receiving instructions in a hardware accelerator coupled to a computing device. The instructions may describe operations and data dependencies between the operations. The operations and the data dependencies may be predetermined. The method may include performing a splitter operation in the hardware accelerator, performing an operation in each of a plurality of branches, and performing a combiner operation in the hardware accelerator.
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公开(公告)号:US09830528B2
公开(公告)日:2017-11-28
申请号:US14963792
申请日:2015-12-09
Applicant: Axis AB
Inventor: Jiandan Chen , Anders Lloyd , Niclas Danielsson
CPC classification number: G06K9/4647 , G06K9/46 , G06K9/6202
Abstract: A method may include determining a value indicative of an average intensity of blocks in an image. The blocks include a primary and outer blocks. Each of the outer blocks may have three, five, or more than five pixels. The image may describe an external pixel lying between the primary and at least one of the outer blocks. The external pixel may not contribute to the value indicative of the average intensity of any of the blocks. The image may also describe a common internal pixel lying within two of the blocks. The common pixel may contribute to the value indicative of the average intensity of the two of the blocks. The method may include comparing the value indicative of the average intensity of the primary block to the values of the outer blocks, and quantifying a feature represented by the image by generating a characteristic number.
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