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EURASIP Journal on Image and Video Processing
ISSN 1687-5281 · SpringerOpen · 492 artikel di indeks
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Artikel Jurnal
An improved regularization method for video super-resolution using an effective prior
Abstract Video super-resolution, which involves improving the spatial resolution of low-resolution video sequences, plays a pivotal role in computer vision. The use of regularization methods, incorporating various mathematical constraints, is crucial for enhancing the quality and visual clarity of…
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Artikel Jurnal
Infrared-optical image segmentation using a potts prior and hierarchical bayesian model
Abstract The modern industrial equipment are widely used in various industries. Its performance is notably affected by temperature variations, making temperature monitoring crucial. To achieve this, we employ a combination of optical and infrared sensors to visualize and measure the temperature…
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Artikel Jurnal
Jointly probability-based fast intra prediction algorithm for spatial SHVC
Abstract Since Spatial Scalable High Efficiency Video Coding (SSHVC) utilizes multi-layer encoding and inter-layer prediction, it has extremely high coding complexity which has severely hindered its wide spread. In order to improve coding speed, we develop a fast intra coding algorithm to improve…
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Artikel Jurnal
SBp-UNet: balancing efficiency and accuracy in CNNs with application to pedestrian segmentation
Abstract This paper introduces a novel approach to balance the accuracy and efficiency in Convolutional Neural Networks (CNNs). The main contribution is a dual strategy that exploits feature reuse along a squeezed architecture. The idea is to integrate fire units from the SqueezeNet architecture…
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Artikel Jurnal
Video coding for machines using region-of-interest-based retargeting
Abstract The work is focused on video compression for the scenarios, where the decoded video serves not only human viewers but also as input for systems implementing various machine vision tasks, such as object detection and tracking. The proposed innovative tool is based on retargeting video…
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Artikel Jurnal
Deception detection based on micro-expression and feature selection methods
Abstract Video-based deception detection, which identifies lies through facial expressions and behaviors, has proven to be an effective approach in criminal interrogation. In this paper, a deception detection framework is proposed that incorporates a novel set of features and a unique deception…
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Artikel Jurnal
Reconstruction and enhancement techniques for overcoming occlusion in facial recognition
Abstract Facial occlusions in surveillance footage can obscure important features, preventing facial recognition systems from identifying people. This work focuses on reconstructing these missing facial parts using Generative Adversarial Networks (GANs) to improve facial recognition accuracy while…
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Artikel Jurnal
Machine learning-assisted image analysis techniques for glaucoma detection
Abstract Glaucoma is an eye disease that damages the optic nerve which is necessary for clear vision. This injury is frequently caused by extremely high pressure inside the eye. Any damage to the optic nerve, which is responsible for transmitting visual information from the eye to the brain, can…
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Artikel Jurnal
Point cloud enhancement by projection sampling
Abstract Next-generation networks are designed to support novel Extended Reality services, which often use point clouds (PCs) to represent real 3D objects. Enhancing the visual quality of PCs by correcting acquisition or transmission errors can significantly improve such services. Herein, we…
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Artikel Jurnal
Side information-driven image coding for hybrid machine–human vision
Abstract With the development of machine learning, advanced photography and image transmission systems, images are being processed more and more by machines, so image coding for machines (ICM) came into being. After the image codec compresses and transmits the image, the image will be handed over…
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Artikel Jurnal
Enhancing the quality of low-light images via the coefficient bounds derived for a subclass of Sakaguchi-type function
Abstract This paper introduces a new approach for enhancing low-light images by utilizing coefficient bounds from a specific subclass of analytic functions, a concept rooted in geometric function theory. Our method is designed to adapt dynamically to different lighting conditions, ensuring…
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Artikel Jurnal
A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications
Abstract Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding. Especially for human action recognition based on RGB-D data, a promising research direction, there has been a number…
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Artikel Jurnal
Model-based Bayesian Fusion-Net for infrared and visible image fusion
Abstract Infrared and visible image fusion aims to generate fused images that maintain the advantages of each source such as temperature information and detailed textures. This paper presents Bayesian Model-based Fusion-Net, a novel approach for infrared and visible image fusion. By formulating…
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Artikel Jurnal
Abnormality-Aware Fused Attention Model with Global Density Joined Network for unusual activity detection in surveillance video
Abstract Detecting abnormal events in videos is essential for effective anomaly detection in surveillance environments. In this work, we propose a framework that combines the Abnormality-Aware Fused Attention Model (AAFAM) with the Global Density Joined Network (GDJNet) to enhance abnormal event…
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Artikel Jurnal
Biometrically-independent fuzzy signatures: signing with biometrics without embedding them
Abstract In cryptocurrency transactions, effective wallet key management by users is crucial for asset protection. Fuzzy Signature (FS) schemes enhance the binding between signers and their keys by using biometric information instead of traditional signing keys, offering secure and convenient key…
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Artikel Jurnal
Motion-driven adaptive frame selection strategy for video action recognition
Abstract Frame selection is a fundamental issue in video action recognition. It aims to minimize temporal redundancy and reduce computational cost. Current frame sampling strategies either rely on US based on motion, lacking emphasis on discriminative frames, or employ complex learning models or…
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Artikel Jurnal
Real-time motion detection using dynamic mode decomposition
Abstract Dynamic mode decomposition (DMD) is a numerical method that seeks to fit time-series data to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially coherent modes that evolve in time according to exponential growth/decay or with a fixed frequency of oscillation…
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Artikel Jurnal
A novel digital radiography image fusion enhancement algorithm based on NSST
Abstract Due to the limitations of X-ray digital imaging in handling workpieces with a large thickness variation range, Moreover, digital radiography (DR) itself is prone to noise, uneven grayscale distribution, and it is difficult for the human eye to obtain useful information from it. In this…
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Artikel Jurnal
Assessing bias and computational efficiency in vision transformers using early exits
Abstract Face recognition with deep learning is generally approached as a problem of capacity. The field has seen progressively deeper, more complex models or larger, more highly variant data sets. The data sets can be problematic, as they are often scraped indiscriminately from the internet. This…
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Artikel Jurnal
An effective video captioning based on language description using a novel Graylag Deep Kookaburra Reinforcement Learning
Abstract Video captioning exhibits a complex challenge, particularly due to the increased subject intensity within videos compared to image caption generation. The presence of redundant visual information in video data adds complexity for captioners, making it difficult to simplify various content…