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Advances in Multimedia
Dikeluarkan Scopus 2023
ISSN 1687-5699 · Wiley · 936 artikel di indeks
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Artikel Jurnal
A Comprehensive Survey of Adaptive Streaming Over HTTP (DASH) in 5G Networks: Performance Enhancements and Emerging Challenges
Dynamic adaptive streaming over HTTP (DASH) has emerged as a foundational technology for video delivery over heterogeneous networks, particularly within 5G environments characterized by high bandwidth variability, ultralow-latency requirements, and dense mobility patterns. This survey provides a…
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Artikel Jurnal
Development of a Cost-Effective Data Collection System for Monitoring Urban Traffic Using Automated Intelligent Image Processing and Machine Vision
This work presents a method for car license plate (LP) detection utilizing machine learning techniques that ensures rapid image processing and high detection accuracy. Three primary contributions distinguish this research. First, we introduce a novel image representation known as the “Integral…
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Artikel Jurnal
A Deep Discriminative Multiple Canonical Correlation Algorithm for Multimodal Feature Representation Learning
With recent advancements in sensory technologies and computational power, multimodel analysis and learning have gained significant attention in the machine learning (ML) community and have been applied across a wide array of domains. Nevertheless, the effective integration of multimodal data…
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Artikel Jurnal
FPGA-Based Deep Neural Network Implementation for Handwritten Digit Recognition
This paper presents a field programmable gate array (FPGA)–based implementation of a deep neural network (DNN) for handwritten digit recognition. We propose the use of a fully connected four-layer neural network with the hidden layers implementing the ReLU activation function and the output layer…
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Artikel Jurnal
Fusion of Deep Features of Wavelet Transform for Wildfire Detection
Forests uniquely deliver different vital resources, particularly oxygen and carbon dioxide purification. Wildfire is the leading cause of deforestation, where massive forest areas are annually lost due to the failure to identify and predict forest fires. Accordingly, early detection of wildfires is…
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Artikel Jurnal
Image Super-Resolution Reconstruction Based on the Lightweight Hybrid Attention Network
In order to solve the problem that the current image super-resolution model has too many parameters and high computational complexity, this paper proposes a lightweight hybrid attention network (LHAN). LHAN consists of three parts: shallow feature extraction, lightweight hybrid attention block…
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Artikel Jurnal
Design of 3D Environment Combining Digital Image Processing Technology and Convolutional Neural Network
As virtual reality technology advances, 3D environment design and modeling have garnered increasing attention. Applications in networked virtual environments span urban planning, industrial design, and manufacturing, among other fields. However, existing 3D modeling methods exhibit high…
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Artikel Jurnal
Images Inpainting Quality Evaluation Using Structural Features and Visual Saliency
Despite the extensive research on developing robust image inpainting algorithms in recent years, there are almost no objective metrics for the quality assessment of inpainted images currently. Inspired by the feature coherence in the inpainted image and the human visual perception mechanism, this…
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Artikel Jurnal
Video Abnormal Action Recognition Based on Multimodal Heterogeneous Transfer Learning
Human abnormal action recognition is crucial for video understanding and intelligent surveillance. However, the scarcity of labeled data for abnormal human actions often hinders the development of high-performance models. Inspired by the multimodal approach, this paper proposes a novel approach…
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Artikel Jurnal
Fast Visual Tracking with Enhanced and Gradient-Guide Network
The existing Siamese trackers express visual tracking through the cross-correlation operation between two neural networks. Although they dominated the tracking field, their adopted pattern caused two main problems. One is the adoption of the deep architecture that drives the Siamese tracker to…
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Artikel Jurnal
Classification of Gastrointestinal Diseases Using Hybrid Recurrent Vision Transformers With Wavelet Transform
Gastrointestinal (GI) diseases are a significant global health issue, causing millions of deaths annually. This study presents a novel method for classifying GI diseases using endoscopy videos. The proposed method involves three major phases: image processing, feature extraction, and…