Smart Computer Vision
portes grátis
Smart Computer Vision
Surendiran, B.; Ding, Junhua; Kumar, B. Vinoth; Sivakumar, P.
Springer International Publishing AG
02/2023
358
Dura
Inglês
9783031205408
15 a 20 dias
Descrição não disponível.
Chapter 1: ?A Systematic Review on Machine Learning based Sports Video Summarization Techniques.- Chapter 2: Shot Boundary Detection from Lecture Video Sequences using Histogram of Oriented Gradients and Radiometric Correlation.- Chapter 3: Detection of Road Potholes using Computer Vision and Machine Learning Approaches to Assist the Visually Challenged.- Chapter 4: Shape Feature Extraction Techniques for Computer Vision Applications.- Chapter 5: GLCM Feature Based Texture image classification using Machine learning algorithms.- Chapter 6: Progress in Multimodal Affective Computing: From Machine Learning to Deep Learning.- Chapter 7: Content based Image Retrieval using Deep features and Hamming Distance.- Chapter 8: Bio Inspired CNN approach for diagnosing COVID-19 using images of Chest X-ray.- Chapter 9: Initial Stage Identification of Covid-19 using Capsule Networks.- Chapter 10: Deep Learning in Auto Encoder Framework and Shape Prior for Hand Gesture Recognition.- Chapter 11: Hierarchical based Semantic segmentation of 3D point cloud using deep learning.- Chapter 12: Convolution Neural Network and Auto-Encoder hybrid scheme for Automatic Colorization of Gray-Scale images.- Chapter 13: Deep learning based Open Set Domain Hyper spectral Image Classification using dimension reduced spectral features.- Chapter 14: An Effective Diabetic Retinopathy Detection using Hybrid Convolutional Neural Network Models.- Chapter 15: Modified Discrete Differential Evolution with Neighbourhood Approach for Grayscale Image Enhancement.- Chapter 16: Swarm-based methods applied to computer vision.
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Computer Vision;Artificial Intelligence;Machine Learning;Deep Learning;Evolutionary Computation;Optimization
Chapter 1: ?A Systematic Review on Machine Learning based Sports Video Summarization Techniques.- Chapter 2: Shot Boundary Detection from Lecture Video Sequences using Histogram of Oriented Gradients and Radiometric Correlation.- Chapter 3: Detection of Road Potholes using Computer Vision and Machine Learning Approaches to Assist the Visually Challenged.- Chapter 4: Shape Feature Extraction Techniques for Computer Vision Applications.- Chapter 5: GLCM Feature Based Texture image classification using Machine learning algorithms.- Chapter 6: Progress in Multimodal Affective Computing: From Machine Learning to Deep Learning.- Chapter 7: Content based Image Retrieval using Deep features and Hamming Distance.- Chapter 8: Bio Inspired CNN approach for diagnosing COVID-19 using images of Chest X-ray.- Chapter 9: Initial Stage Identification of Covid-19 using Capsule Networks.- Chapter 10: Deep Learning in Auto Encoder Framework and Shape Prior for Hand Gesture Recognition.- Chapter 11: Hierarchical based Semantic segmentation of 3D point cloud using deep learning.- Chapter 12: Convolution Neural Network and Auto-Encoder hybrid scheme for Automatic Colorization of Gray-Scale images.- Chapter 13: Deep learning based Open Set Domain Hyper spectral Image Classification using dimension reduced spectral features.- Chapter 14: An Effective Diabetic Retinopathy Detection using Hybrid Convolutional Neural Network Models.- Chapter 15: Modified Discrete Differential Evolution with Neighbourhood Approach for Grayscale Image Enhancement.- Chapter 16: Swarm-based methods applied to computer vision.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
