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Information Entropy Algorithms for Image, Video, and Signal Processing [PDF]

Entropy, 2021
Information entropy is a basic concept in information theory associated with any random variable [...]
Gwanggil Jeon
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Editorial: Signal processing in computational video and video streaming

Frontiers in Signal Processing
Anil Kokaram, Anil Anthony Bharath, Feng Yang   +2 more
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An efficient geometric partitioning mode by adaptive blending method for screen content coding

Electronics Letters, 2023
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
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Photonic signal processor based on a Kerr microcomb for real-time video image processing

Communications Engineering, 2023
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, Xingyuan Xu, Andreas Boes, Bill Corcoran, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Roberto Morandotti, Jiayang Wu, Arnan Mitchell, David J. Moss   +10 more
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Projection to Latent Spaces Disentangles Pathological Effects on Brain Morphology in the Asymptomatic Phase of Alzheimer's Disease

Frontiers in Neurology, 2020
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, Paula Petrone, José Luis Molinuevo, José Luis Molinuevo, José Luis Molinuevo, Juan Domingo Gispert, Juan Domingo Gispert, Juan Domingo Gispert, Verónica Vilaplana   +8 more
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Latent label mining for group activity recognition in basketball videos

IET Image Processing, 2021
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, Zeyu Li, Ye Xiang, Meng Jian, Jialie Shen   +4 more
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A motion parameters estimating method based on deep learning for visual blurred object tracking

IET Image Processing, 2021
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

IET Image Processing, 2021
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
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Siamese tracking combing frequency channel attention with adaptive template

IET Communications, 2021
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, Meiqin Xie, Chengming Liu, Rongqi Ma, Linxuan Han   +4 more
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Unified multi‐stage fusion network for affective video content analysis

Electronics Letters, 2022
Affective video content analysis is an active topic in the field of affective computing. In general, affective video content can be depicted by feature vectors of multiple modalities, so it is important to effectively fuse information.
Yun Yi, Hanli Wang, Pengjie Tang
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