Photonic signal processor based on a Kerr microcomb for real-time video image processing [PDF]
Signal processing has become central to many fields, from coherent optical telecommunications, where it is used to compensate signal impairments, to video image processing.
Mengxi Tan +10 more
doaj +2 more sources
A Python-based laboratory course for image and video signal processing on embedded systems. [PDF]
The usage of embedded systems is omnipresent in our everyday life, e.g., in smartphones, tablets, or automotive devices. These devices are able to deal with challenging image processing tasks like real-time detection of faces or high dynamic range ...
Jaskolka K, Seiler J, Beyer F, Kaup A.
europepmc +2 more sources
Editorial: Signal processing in computational video and video streaming
Anil Kokaram +2 more
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An efficient geometric partitioning mode by adaptive blending method for screen content coding
Geometric partitioning mode (GPM) was newly adopted in Versatile Video Coding (VVC) to increase the partitioning precision of the arbitrary boundaries of actual objects.
Minhun Lee, Seoung‐Jun Oh, Donggyu Sim
doaj +1 more source
Alzheimer's disease (AD) continuum is defined as a cascade of several neuropathological processes that can be measured using biomarkers, such as cerebrospinal fluid (CSF) levels of Aβ, p-tau, and t-tau.
Adrià Casamitjana +8 more
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Latent label mining for group activity recognition in basketball videos
Motion information has been widely exploited for group activity recognition in sports video. However, in order to model and extract the various motion information between the adjacent frames, existing algorithms only use the coarse video‐level labels as ...
Lifang Wu +4 more
doaj +1 more source
A motion parameters estimating method based on deep learning for visual blurred object tracking
Tracking the specific object in the blurred scenes is one of the challenging problems in computer vision and image processing. The accuracy and performance of trackers within the blur frames usually demonstrate a severe decrease.
Iman Iraei, Karim Faez
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Learning adaptive spatial–temporal regularized correlation filters for visual tracking
Recently, there have been many visual tracking methods based on correlation filters. These methods mainly enhance the tracking performances by considering the information of background, space, or time in the appearance model.
Jianwei Zhao, Yangxiao Li, Zhenghua Zhou
doaj +1 more source
Information Entropy Algorithms for Image, Video, and Signal Processing
Information entropy is a basic concept in information theory associated with any random variable [...]
Gwanggil Jeon
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Siamese tracking combing frequency channel attention with adaptive template
Siamese network based the tracker is a hot topic in the field of visual object tracking. However, Siamese trackers still have a robustness gap compared with state‐of‐the‐art algorithms. Therefore, focusing on the issue, this letter adds Frequency Channel
Haibo Pang +4 more
doaj +1 more source

