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Computer Vision and Image Processing

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Cover of 'Computer Vision and Image Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Denoising Images with Varying Noises Using Autoencoders
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    Chapter 2 Image Aesthetics Assessment Using Multi Channel Convolutional Neural Networks
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    Chapter 3 Profession Identification Using Handwritten Text Images
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    Chapter 4 A Study on Deep Learning for Breast Cancer Detection in Histopathological Images
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    Chapter 5 Face Presentation Attack Detection Using Multi-classifier Fusion of Off-the-Shelf Deep Features
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    Chapter 6 Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm
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    Chapter 7 A Deep Neural Network Classifier Based on Belief Theory
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    Chapter 8 Real-Time Driver Drowsiness Detection Using Deep Learning and Heterogeneous Computing on Embedded System
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    Chapter 9 A Comparative Analysis for Various Stroke Prediction Techniques
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    Chapter 10 A Convolutional Fuzzy Min-Max Neural Network for Image Classification
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    Chapter 11 Anomalous Event Detection and Localization Using Stacked Autoencoder
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    Chapter 12 Kernel Variants of Extended Locality Preserving Projection
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    Chapter 13 DNN Based Adaptive Video Streaming Using Combination of Supervised Learning and Reinforcement Learning
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    Chapter 14 A Deep Convolutional Neural Network Based Approach to Extract and Apply Photographic Transformations
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    Chapter 15 Video Based Deception Detection Using Deep Recurrent Convolutional Neural Network
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    Chapter 16 Deep Demosaicing Using ResNet-Bottleneck Architecture
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    Chapter 17 Psychological Stress Detection Using Deep Convolutional Neural Networks
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    Chapter 18 Video Colorization Using CNNs and Keyframes Extraction: An Application in Saving Bandwidth
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    Chapter 19 Image Compression for Constrained Aerial Platforms: A Unified Framework of Laplacian and cGAN
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    Chapter 20 Multi-frame and Multi-scale Conditional Generative Adversarial Networks for Efficient Foreground Extraction
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    Chapter 21 Ink Analysis Using CNN-Based Transfer Learning to Detect Alteration in Handwritten Words
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    Chapter 22 Ensemble Methods on Weak Classifiers for Improved Driver Distraction Detection
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    Chapter 23 DeepRNNetSeg: Deep Residual Neural Network for Nuclei Segmentation on Breast Cancer Histopathological Images
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    Chapter 24 Classification of Breast Tissue Density
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    Chapter 25 Extreme Weather Prediction Using 2-Phase Deep Learning Pipeline
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    Chapter 26 Deep Hybrid Neural Networks for Facial Expression Classification
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    Chapter 27 SCDAE: Ethnicity and Gender Alteration on CLF and UTKFace Dataset
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    Chapter 28 Manipuri Handwritten Character Recognition by Convolutional Neural Network
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    Chapter 29 Design and Implementation of Human Safeguard Measure Using Separable Convolutional Neural Network Approach
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    Chapter 30 Tackling Multiple Visual Artifacts: Blind Image Restoration Using Conditional Adversarial Networks
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    Chapter 31 Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios
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    Chapter 32 3D CNN with Localized Residual Connections for Hyperspectral Image Classification
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    Chapter 33 A Novel Approach for False Positive Reduction in Breast Cancer Detection
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    Chapter 34 Classification of Effusion and Cartilage Erosion Affects in Osteoarthritis Knee MRI Images Using Deep Learning Model
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    Chapter 35 A High Precision and High Recall Face Detector for Equi-Rectangular Images
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    Chapter 36 Real-Time Ear Landmark Detection Using Ensemble of Regression Trees
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    Chapter 37 A New Hybrid Architecture for Real-Time Detection of Emergency Vehicles
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    Chapter 38 Speed Prediction of Fast Approaching Vehicle Using Moving Camera
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    Chapter 39 Improved Performance of Visual Concept Detection in Images Using Bagging Approach with Support Vector Machines
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    Chapter 40 FaceID: Verification of Face in Selfie and ID Document
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    Chapter 41 A Benchmark Dataset of Online Handwritten Gurmukhi Script Words and Numerals
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    Chapter 42 Targeted Optical Character Recognition: Classification Using Capsule Network
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    Chapter 43 An Edge-Based Image Steganography Method Using Modulus-3 Strategy and Comparative Analysis
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    Chapter 44 Multi-level Threat Analysis in Anomalous Crowd Videos
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    Chapter 45 Discovering Cricket Stroke Classes in Trimmed Telecast Videos
Attention for Chapter 31: Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios
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Chapter title
Two-Stream CNN Architecture for Anomalous Event Detection in Real World Scenarios
Chapter number 31
Book title
Computer Vision and Image Processing
Published by
Springer, Singapore, September 2019
DOI 10.1007/978-981-15-4018-9_31
Book ISBNs
978-9-81-154017-2, 978-9-81-154018-9
Authors

Snehashis Majhi, Ratnakar Dash, Pankaj Kumar Sa, Majhi, Snehashis, Dash, Ratnakar, Sa, Pankaj Kumar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Researcher 1 10%
Student > Doctoral Student 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Computer Science 3 30%
Engineering 1 10%
Unknown 6 60%