Image Analysis and Recognition

Table of Contents

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   Book Overview
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   Chapter 1 Proximal Splitting Networks for Image Restoration
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   Chapter 2 A Deep Learning Approach for Real-Time 3D Human Action Recognition from Skeletal Data
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   Chapter 3 Image Structure Subspace Learning Using Structural Similarity Index
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   Chapter 4 Motion-Augmented Inference and Joint Kernels in Structured Learning for Object Tracking
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   Chapter 5 An Efficient Algorithm for Computing the Derivative of Mean Structural Similarity Index Measure
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   Chapter 6 Drift Detection Using SVM in Structured Object Tracking
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   Chapter 7 Principal Component Analysis Using Structural Similarity Index for Images
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   Chapter 8 Blind Quality Assessment of Multiply Distorted Images Using Deep Neural Networks
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    Chapter 9 Layered Embeddings for Amodal Instance Segmentation
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    Chapter 10 CNN-Based Real-Time Parameter Tuning for Optimizing Denoising Filter Performance
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    Chapter 11 Locally Linear Image Structural Embedding for Image Structure Manifold Learning
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    Chapter 12 Fitting Smooth Manifolds to Point Clouds in a Level Set Formulation
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    Chapter 13 KFBin: Kalman Filter-Based Approach for Document Image Binarization
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    Chapter 14 AVC, HEVC, VP9, AVS2 or AV1? — A Comparative Study of State-of-the-Art Video Encoders on 4K Videos
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    Chapter 15 An Improved Simulated Annealing Approach for Reconstructing Binary Images with Fixed Number of Strips
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    Chapter 16 WaveM-CNN for Automatic Recognition of Sub-cellular Organelles
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    Chapter 17 Tracking in Urban Traffic Scenes from Background Subtraction and Object Detection
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    Chapter 18 An Improved Weighted Average Reprojection Image Denoising Method
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    Chapter 19 Hybrid HMM/DNN System for Arabic Handwriting Keyword Spotting
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    Chapter 20 A Reconstruction-Free Projection Selection Procedure for Binary Tomography Using Convolutional Neural Networks
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    Chapter 21 Augmenting Reality of Tracked Video Objects Using Homography and Keypoints
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    Chapter 22 Initial Conditions of Reaction-Diffusion Algorithm Designed for Image Edge Detection
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    Chapter 23 Vision-Based Target Objects Recognition and Segmentation for Unmanned Systems Task Allocation
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    Chapter 24 Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction
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    Chapter 25 Deep Demosaicing for Edge Implementation
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    Chapter 26 A Scene-Based Augmented Reality Framework for Exhibits
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    Chapter 27 Existence, Uniqueness and Asymptotic Behaviour of Intensity-Based Measures Which Conform to a Generalized Weber’s Model of Perception
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    Chapter 28 HMM Based Keyword Spotting System in Printed/Handwritten Arabic/Latin Documents with Identification Stage
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    Chapter 29 Emotion Recognition with Spatial Attention and Temporal Softmax Pooling
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    Chapter 30 CNN-Based Watershed Marker Extraction for Brick Segmentation in Masonry Walls
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    Chapter 31 Improving Person Re-identification by Background Subtraction Using Two-Stream Convolutional Networks
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    Chapter 32 Safely Caching HOG Pyramid Feature Levels, to Speed up Facial Landmark Detection
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    Chapter 33 Construction and Optimization of Feature Descriptor Based on Dynamic Local Intensity Order Relations of Pixel Group
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    Chapter 34 Segmentation of Breast MRI Scans in the Presence of Bias Fields
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    Chapter 35 Spatially-Coherent Segmentation Using Hierarchical Gaussian Mixture Reduction Based on Cauchy-Schwarz Divergence
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    Chapter 36 Automatic Evaluation of Speech Therapy Exercises Based on Image Data
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    Chapter 37 Predicting Structural Properties of Cortical Bone by Combining Ultrasonic Attenuation and an Artificial Neural Network (ANN): 2-D FDTD Study
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    Chapter 38 B-line Detection and Localization by Means of Deep Learning: Preliminary In-vitro Results
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    Chapter 39 Behavior-Based Compression for Convolutional Neural Networks
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    Chapter 40 Unsupervised Deep Shape from Template
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    Chapter 41 Strategies for Improving Single-Head Continual Learning Performance
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    Chapter 42 Affine Variational Autoencoders