Smart Computer Vision için kapak resmi
Başlık:
Smart Computer Vision
Yazar:
Kumar, B. Vinoth. editor.
ISBN:
9783031205415
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
X, 358 p. 169 illus., 141 illus. in color. online resource.
Seri:
EAI/Springer Innovations in Communication and Computing,
İçerik:
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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