The proceedings contain 49 papers. The topics discussed include: pulmonary tuberculosis detection using deep learning convolutional neural networks;infrared stripe noise correction algorithm based on multi-scale analy...
ISBN:
(纸本)9781450376822
The proceedings contain 49 papers. The topics discussed include: pulmonary tuberculosis detection using deep learning convolutional neural networks;infrared stripe noise correction algorithm based on multi-scale analysis and one-dimensional vector convolution;sketch based image retrieval with adversarial network;a dual-camera surveillance video summarization generating strategy for multi-target capturing;a framework for automatic building detection from low-contrast VHR satellite imagery;generative transferable adversarial attack;and automated detection of steel defects via machine learning based on real-time semantic segmentation.
The proceedings contain 22 papers. The topics discussed include: real time hand gesture recognition in industry;epidemic prevention system based on voice recognition combined with intelligent recognition of mask and h...
ISBN:
(纸本)9781450385886
The proceedings contain 22 papers. The topics discussed include: real time hand gesture recognition in industry;epidemic prevention system based on voice recognition combined with intelligent recognition of mask and helmet;activity recognition in industrial environment using two layers learning;a new method of specific emitter feature extraction based on IQ imbalance;mixup augmentation for deep hashing;multi-resolution Gabor descriptor for corrosion detection in pipeline video sequences;image deep steganography detection based on knowledge distillation in teacher-student network;a multi-scale framework for visual grounding;a comparison of three swarm-based optimization algorithms in wind turbine radar clutter micro-motion parameters estimation;the influence of accounting information system quality and human resource competency on information quality;measurement and analysis of electrophysiological propagation on the cardiac slice-based biosensor;and improve the field-of-view of cameras: consideration on the micro lens array.
The proceedings contain 20 papers. The topics discussed include: perceptual evaluation of low-light image enhancement algorithms;meta-learning based Siamese network with channel-wise self-attention for visual tracking...
ISBN:
(纸本)9781450388917
The proceedings contain 20 papers. The topics discussed include: perceptual evaluation of low-light image enhancement algorithms;meta-learning based Siamese network with channel-wise self-attention for visual tracking;research on airport visibility detection under complex conditions;improving adversarial attacks on face recognition using a modified image translation model;multi-scale haze removal via residual network;calibration fixation points that enable accurate gaze estimation with pupil image capturing camera installed almost next to eye: calibration fixation points with camera installed almost next to eye;3D visual discomfort prediction based on scene structure and depth difference;correction of continuous speech from hearing-impaired speakers;a transformer-based Chinese non-autoregressive speech synthesis scheme;and proposal of the aesthetic experience-oriented evaluation framework for field-recording sound retrieval system: experiments using acoustic feature signatures based on multiscale fractal dimension.
In recent years, large language models (LLMs) like ChatGPT have driven advancements in artificial intelligence (AI) across various domains, pushing the boundaries of multi-modal applications. The emergence of Stable D...
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Most contemporary fully automated video colorization solutions stem from techniques initially designed for colorizing individual frames. Frame colorization presents a significant challenge due to its inherently multi-...
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This study aims to explore the grotto color analysis based on imageprocessing and its application in environmental design. By using multispectral and hyperspectral imaging techniques, we collected and analyzed the co...
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One of the most victorious strategies for slowing the spread of the COVID-19 virus has been proposed: social isolation. A computer vision-based AI-assisted approach for aiding with social distance norms compliance is ...
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This study compares different scheduling algorithms used in edge computing for real-time videoprocessing. Instead of sending video data to cloud servers, the video is processed directly at the edge, reducing delays a...
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Through the use of a Streamlit web application, the script is a highly intelligent tool that combines cutting-edge quantum processing principles with traditional computer vision approaches to handle a variety of face ...
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ISBN:
(纸本)9798331515911
Through the use of a Streamlit web application, the script is a highly intelligent tool that combines cutting-edge quantum processing principles with traditional computer vision approaches to handle a variety of face detection and identification tasks. While other libraries handle computer vision jobs and numerical calculations, such as NumPy and OpenCV, Streamlit is essential to developing the web application interface. While Streamlit WebRTC allows real-time video streaming, PIL is utilized for imageprocessing. The application is set up to have a personalized look and a centered layout. Users may upload photographs, choose detection modes, and modify face detection settings on its header and sidebar. The program detects faces in uploaded photographs by encircling them with bounding boxes using the Haar Cascade Classifier. This may be used to build a face dataset or train a face recognition algorithm. Another important feature is real-time face identification, in which the software uses the Haar Cascade Classifier to identify faces in a video stream. Bounding boxes are used to emphasize faces, and photos containing faces are retained for later study or training. The program may utilize taken photographs to train a model for face recognition. These photos are processed, turned into grayscale, and then the LBPH (Local Binary Patterns Histograms) technique is used to train the model. The trained model is then kept for use in upcoming facial recognition assignments. Moreover, the program may be set up to track attendance in real time by identifying faces in a webcam stream. Time stamps are recorded, attendance is logged using recognized faces, and the information is saved to a CSV file. All things considered, the script provides a complete solution that combines traditional and quantum methods for real-time face identification, picture processing, and attendance monitoring. This makes it an adaptable tool for a range of computer vision and machine learning application
The increase in number of cases in dental caries has entailed the need for sophisticated diagnostic tools for timely detection and treatment. This work presents an innovative dental caries detection methodology using ...
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