Image Analysis and Processing - ICIAP 2017

Name: Image Analysis and Processing - ICIAP 2017 | 19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II
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19th International Conference, Catania, Italy, September 11-15, 2017, Proceedings, Part II

Sebastiano Battiato Giovanni Gallo Raimondo Schettini Filippo Stanco(Editor)

Springer (Publisher)

Published on 13. October 2017

XXVIII, 795 pages

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Content

Intro
Preface
Organization
Contents - Part II
Contents - Part I
Image Analysis, Detection and Recognition
3D Face Recognition in Continuous Spaces
1 Introduction
2 Detection of Characteristic Points in 3D Faces
3 Alignment of Two Faces
4 Functional Representation
5 Experimental Results
6 Discussion and Conclusions
References
Object Detection for Crime Scene Evidence Analysis Using Deep Learning
1 Introduction
2 Related Work
3 Methodology
3.1 Background of Faster-RCNN
3.2 VGG-16 Network
3.3 Object Detection
4 Experiments and Results
4.1 Datasets
4.2 Experimental Setup
4.3 Detection Accuracy
4.4 Detection Time
4.5 Experiments on the Karina Dataset
4.6 Discussion
5 Conclusion
References
Person Re-Identification Using Partial Least Squares Appearance Modelling
1 Introduction
2 Method
2.1 Partial Least Squares Foreground Appearance Modelling
2.2 Foreground Feature Extraction and Feature Weighting
2.3 Distance Metric Learning
3 Results and Discussion
4 Conclusions
References
Gender and Expression Analysis Based on Semantic Face Segmentation
1 Introduction
2 Related Works
3 The Face Segmentation Algorithm
3.1 Feature Extraction
3.2 Classification
4 The Proposed Gender and Expression Classification Algorithms
4.1 Gender Classification
4.2 Expression Classification
5 Experimental Setup
5.1 Gender and Expression Classification
6 Discussion of Results
6.1 Gender Recognition
6.2 Expression Recognition
7 Conclusions
References
Two More Strategies to Speed Up Connected Components Labeling Algorithms
1 Introduction
2 Previous Works
3 Pattern Analysis and Modeling of Decision Trees
4 Parallel Connected Components Labeling
5 Experimental Evaluation
5.1 Datasets
5.2 Frequencies Results
5.3 Parallel Results
6 Conclusions
References
Embedded Real-Time Visual Search with Visual Distance Estimation
1 Introduction
2 Related Work
3 Proposed Pipeline
3.1 Image Analyzer
3.2 Retrieval Stage
3.3 Multiple Results Loop
3.4 Distance Estimation
4 Experiments and Results
4.1 Distance Estimation Accuracy
4.2 Performances
5 Conclusions
References
Synchronization in the Symmetric Inverse Semigroup
1 Introduction
2 Synchronization
2.1 Matrix Formulation
3 Problem Formulation
4 Permutation Synchronization
5 Partial Permutation Synchronization
6 Experiments
7 Conclusion
References
A Fully Convolutional Network for Salient Object Detection
1 Introduction
2 Proposed Method
2.1 Training
3 Experiments
3.1 Datasets
3.2 Data Augmentation
3.3 Evaluation Measures
3.4 Results
4 Conclusions
References
A Lightweight Mamdani Fuzzy Controller for Noise Removal on Iris Images
1 Introduction
2 The Proposed Algorithm
2.1 Iris Detection and Decomposition
2.2 The SKE Values
2.3 The Fuzzy Rules
3 Preliminary Results
4 Conclusions
References
Analysis of the Discriminative Generalized Hough Transform for Pedestrian Detection
1 Introduction
2 Methods
2.1 Structured Edge Detection
2.2 Discriminative Generalized Hough Transform
2.3 Rejection of Proposals
3 Experimental Setup
3.1 Databases
3.2 Experimental Setup and System Parameters
3.3 Comparison to State-of-the-Art Approaches
3.4 Evaluation Metrics
4 Results
4.1 SCM Rejection
4.2 SCM Rejection: Error Analysis
4.3 SCM Rejection: Oracle Experiments
4.4 CNN Rejection: Detection Results
5 Discussion
6 Conclusions
References
Bubble Shape Identification and Calculation in Gas-Liquid Slug Flow Using Semi-automatic Image Segmentation
1 Introduction
2 Materials and Methods
2.1 Image Acquisition
2.2 Image Segmentation by Level Set Method
2.3 A Priori Shape Definition
2.4 Level Set Priori Shape Restrict - LSR
3 Proposed Scheme to Two-Phase Flow Image Segmentation
4 Experimental Results
4.1 Validation
4.2 Wire-Mesh Image Comparison and Grey Levels Images
4.3 Gas Bubbles Velocity
5 Conclusion
References
Deep Face Model Compression Using Entropy-Based Filter Selection
1 Introduction
2 Related Works
3 Entropy-Based Model Compression
3.1 Framework
3.2 Entropy-Based Prune Metric
3.3 Network Trimming
4 Experiments
4.1 VGG-16 Network
4.2 WebFace Network
4.3 Effectiveness Analysis
5 Conclusion
References
Deep Passenger State Monitoring Using Viewpoint Warping
1 Introduction
2 Method
2.1 Image Alignment Using Homography
2.2 Synthesising Viewpoint Changes
2.3 Passenger State Classification
3 Experiments and Results
3.1 Dataset
3.2 Evaluation
3.3 Results
4 Conclusions
References
Demographic Classification Using Skin RGB Albedo Image Analysis
1 Introduction
1.1 Skin Anatomy
1.2 Skin Visual Perception
1.3 Skin Related Demographics
2 Related Work
2.1 Skin Classification Based on Skin Aging and Light Exposure
2.2 Light-Skin Interaction Prediction: BSSRDF
2.3 State of the Art Skin Models
3 Proposed Albedo Based Descriptor
3.1 RGB Albedo Descriptor
4 Demographic Classification Results and Analysis
4.1 Gender, Skin Type and Age Clustering
4.2 Gender, Skin Type and Age Classification
5 Conclusion
References
Discriminative Dictionary Design for Action Classification in Still Images
1 Introduction
2 Related Works
2.1 Action Recognition from Still Images
2.2 Efficient Codebook Construction for Classification
3 Proposed Algorithm
3.1 Extraction of Local Features
3.2 Discriminative Dictionary Learning
3.3 Feature Encoding Using C"0362C
3.4 Classification
4 Experimental Details
4.1 Dataset
4.2 Experimental Setup
4.3 Performance Evaluation
5 Conclusion
References
Enhanced Bags of Visual Words Representation Using Spatial Information
1 Introduction
2 Traffic Signs Recognition
2.1 Enhanced BoVW Using Spatial Information
2.2 Similarity Measure
3 Experiment Results
3.1 Performance of the Proposed Method
3.2 Comparisons with Other State-of-the-Art Methods
4 Conclusions
References
Exploiting Spatial Context in Nonlinear Mapping of Hyperspectral Image Data
1 Introduction
2 Methods
2.1 Dimensionality Reduction
2.2 Exploiting Spatial Context in Dimensionality Reduction
3 Experimental Study
3.1 Classification of Hyperspectral Image Data
3.2 Clustering and Segmentation of Hyperspectral Image Data
3.3 Visualization of Hyperspectral Image Data
4 Conclusion
References
Exploiting Visual Saliency Algorithms for Object-Based Attention: A New Color and Scale-Based Approach
1 Introduction
2 State of the Art
3 Proposed Methods
3.1 Eye Tracking Data Acquisition
3.2 Proposed Saliency Map Generation Method
4 Experimental Results
5 Conclusion and Future Works
References
Face Recognition with Single Training Sample per Subject
1 Introduction
2 Background of Local Binary Patterns
3 Overview of Proposed Approach
3.1 Offline Phase
3.2 Online Phase
3.3 Optimization and Classification
3.4 Parameter Setting
4 Experimental Results
4.1 The Experiments Comparison: FR on FRGCv1, OR, CK+, FEI and GT Databases
4.2 Running Time Comparison
5 Conclusion
References
Food Recognition Using Fusion of Classifiers Based on CNNs
1 Introduction
2 Methodology
2.1 Training of CNN Models
2.2 Decision Templates for Classifiers Fusion
3 Experiments
3.1 Datasets
3.2 Experimental Setup
3.3 Data Preprocessing and Metrics
3.4 Experimental Results on Food-11
3.5 Experimental Results on Food-101
4 Conclusions
References
MR Brain Tissue Segmentation Based on Clustering Techniques and Neural Network
1 Introduction
2 Related Work
3 The Proposed Method
3.1 Training Phase
3.2 Testing Phase
4 Experimental Results
5 Conclusions
References
Multi-branch CNN for Multi-scale Age Estimation
1 Introduction
2 Related Works
3 Multi-branch CNN
4 Experimental Results
5 Conclusions
References
No-Reference Learning-Based and Human Visual-Based Image Quality Assessment Metric
1 Introduction
2 The LEVIQI Index
2.1 General Framework
2.2 Visual Sub-band Decomposition
2.3 Selected Features
3 Performance Evaluation
3.1 Experimental Setup
3.2 Experimental Results
4 Conclusion
References
Performance Evaluation of Multiscale Covariance Descriptor in Underwater Object Detection
Abstract
1 Introduction
2 Autonomous Underwater Vehicle
3 Image Descriptors
3.1 Global Approach
3.2 Type of Descriptor
3.3 Multiscale Covariance Descriptor
3.4 Support Vector Machine
4 Experimental Result
4.1 Evaluation Metric
4.2 Maris Dataset
4.3 Result
5 Conclusion
References
Retinal Vessel Segmentation Through Denoising and Mathematical Morphology
1 Introduction
2 Dataset
3 Method
3.1 Denoising: Non-local Means Algorithm
3.2 Mathematical Morphology: Black Top-Hat
3.3 Image Thresholding
4 Experiments
5 Conclusions
References
Segmentation of Green Areas Using Bivariate Histograms Based in Hue-Saturation Type Color Spaces
1 Introduction
2 Theoretical Framework
2.1 Color Spaces
2.2 Morphological Filter
2.3 Watershed with Dynamics
3 Metodology
4 Results
5 Conclusion
References
Spatial Enhancement by Dehazing for Detection of Microcalcifications with Convolutional Nets
1 Introduction
2 Dataset
3 Spatial Enhancement by Dehazing
3.1 Image Dehazing
3.2 Dark Channel Prior
3.3 Spatial Enhancement of Microcalcifications
4 Convolutional Neural Networks
5 Experiments
6 Results
7 Conclusions
References
Towards Automatic Skin Tone Classification in Facial Images
Abstract
1 Introduction
2 State of the Art
3 Proposed Solution
3.1 Region of Interest Selection
3.2 Color Descriptors
3.3 Pixel Based Classification
3.4 Patch Based Classification
4 Experimental Results and Discussions
5 Conclusions and Future Work
References
Towards Detecting High-Uptake Lesions from Lung CT Scans Using Deep Learning
1 Introduction
1.1 Contribution
1.2 Paper Structure
2 Related Literature
3 Detecting High-Uptake Lesions Using a CNN
4 Experimental Results
4.1 Experimental Setup
4.2 Analysis and Discussion
5 Conclusions and Outlook
References
Semi-automatic Training of a Vehicle Make and Model Recognition System
1 Introduction
2 Related Work
3 System Description
3.1 Detection: Vehicle Localization
3.2 Classification: Make and Model Recognition
4 Evaluation of Proposed System
4.1 Dataset
4.2 Evaluation Metrics
4.3 Vehicle Detection
4.4 Make and Model Classification
5 Conclusions
References
A Computer Vision System for Monitoring Ice-Cream Freezers
1 Introduction
2 Description of the Modules
2.1 Basket Edges Detection (BED) Module
2.2 Volume Estimation (VE) Module
2.3 Product Tracking (PT) Module
3 Experimental Results
4 Conclusions and Future Work
References
A Proposal of Objective Evaluation Measures Based on Eye-Contact and Face to Face Conversation for Videophone
Abstract
1 Introduction
2 Human Behaviors in Conversation
2.1 Eye-Contact Conversation Ratio (ECCR)
2.2 Face to Face Conversation Ratio (FFCR)
3 Experimental System
3.1 Videophone System
3.2 Gaze Point Estimation
3.3 Signal Processing Flow
4 Experimental Results and Discussion
4.1 ECCR and FFCR in Higher Camera Position
4.2 ECCR and FFCR in Center Camera Position
5 Conclusion
References
Multimedia
Wink Detection on the Eye Image as a Control Tool in Multimodal Interaction
Abstract
1 Introduction
2 The Task Analysis and the Main Assumptions of the Project
3 Introduced Technical Solution
4 Influence of Infrared Radiation on the Eyeball
5 Algorithm of the Eye Winking Recognition
6 Analysis of Signals Generated from Eye Winks
7 The Prototype and Tests
8 Summary
References
Adaptive Low Cost Algorithm for Video Stabilization
Abstract
1 Introduction
2 Prior Art
3 Proposed Filtering
4 Experimental Results
5 Conclusion and Future Work
References
Remote Biometric Verification for eLearning Applications: Where We Are
1 Introduction
2 eLearning Technologies
3 The Personal Verification Issue: The Biometric Perspective
4 Discussions
References
Towards Video Captioning with Naming: A Novel Dataset and a Multi-modal Approach
1 Introduction
2 Related Work
3 The M-VAD Names Dataset
4 Replacing the ``Someone'': An Approach to Video Description with Naming
4.1 Multi-Modal Network
4.2 Face Recognition
5 Experimental Evaluation
5.1 Experimental Results
6 Conclusion
References
Biomedical and Assistive Technology
Bio-Inspired Feed-Forward System for Skin Lesion Analysis, Screening and Follow-Up
Abstract
1 Introduction
2 Proposed Pipeline: System Description
2.1 Dermatoscope and SC-CNNs Pre-processing Block
2.2 The Hand-Crafted Image Features and SC-CNNs Hand-Crafted Blocks
2.3 The LV Network Clustering System
2.4 The Autonomous Diagnosis System
3 Experimental Results and Future Works
References
On the Estimation of Children's Poses
1 Introduction and Motivations
2 Related Work
3 Methods and Dataset
3.1 Dataset
4 Comparative Evaluation
5 Conclusion
References
Optical Coherence Tomography Denoising by Means of a Fourier Butterworth Filter-Based Approach
1 Introduction
2 Methodology
2.1 Fourier Butterworth Image Filtering
2.2 Post Processing
2.3 Automatic Validation Process
3 Results and Discussion
4 Conclusions
References
Smartphone Based Pupillometry: An Empirical Evaluation of Accuracy and Safety
1 Introduction
2 Related Work
3 Assessing Mobile Phones for Pupillometry
3.1 The Sober-Eye Approach to PLR Measurement
3.2 Experimental Set-Up and Results
3.3 The Dataset
3.4 Testing the Accuracy of the Pupil Radius Measurement
4 Light Hazard Evaluation
4.1 Measurements
4.2 Results
5 Conclusions
References
Pixel Classification Methods to Detect Skin Lesions on Dermoscopic Medical Images
1 Introduction
2 Related Work
3 Visual Features and Skin Image Processing
3.1 Hair Removing
3.2 Skin Lesion Detection
4 Experimental Setup and Results
5 Conclusions and Future Work
References
Feature Definition and Selection for Epiretinal Membrane Characterization in Optical Coherence Tomography Images
1 Introduction
2 Methodology
2.1 Identification of the Region of Interest
2.2 Feature Definition
2.3 Feature Selection and Classification
3 Results and Discussion
4 Conclusions
References
Fully-Automated CNN-Based Computer Aided Celiac Disease Diagnosis
1 Introduction
2 Proposed Pipeline
2.1 Discriminative Patch-Based Model
2.2 Probabilistic Patch-Based Model
2.3 Image-Wise Classification
2.4 Patient-Wise Classification
2.5 Image Representations
3 Experiments
3.1 Image Data Sets
3.2 Evaluation and Implementation Details
3.3 Results
3.4 Discussion and Conclusion
References
An Investigation of Deep Learning for Lesions Malignancy Classification in Breast DCE-MRI
1 Introduction
2 Materials and Methods
2.1 Dataset
2.2 Lesion Diagnosis in DCE-MRI
2.3 CNN for Lesion Diagnosis
2.4 Performance Evaluation
3 Experimental Results
4 Discussion and Conclusions
References
A Smartphone-Based System for Detecting Falls Using Anomaly Detection
1 Introduction
2 The Proposed Method
3 Experiments
3.1 Datasets
3.2 Results
4 Conclusion
References
CNN-Based Identification of Hyperspectral Bacterial Signatures for Digital Microbiology
1 Introduction
2 Proposed Method
3 Results and Discussion
4 Conclusion
References
Description of Breast Morphology Through Bag of Normals Representation
1 Introduction and Motivation
2 Materials and Methods
2.1 3D Breast Dataset
2.2 Shape Parametrization
3 Results
4 Conclusions
References
Measuring Refractive Properties of Human Vision by Showing 4D Light Fields
1 Introduction
2 Related Work
3 Refractive Properties of Human Vision
4 Estimating Refractive Properties from 4D Light Field
4.1 Observation of Light Field in Human Vision
4.2 Measuring Eyesight Characteristics from 4D Light Field
5 Experiments
5.1 Real Image Experiments
5.2 Accuracy Evaluation
6 Conclusion
References
Crossing the Road Without Traffic Lights: An Android-Based Safety Device
1 Introduction
2 Stationary Location-Specific Solution
3 Principles of Operation
3.1 Activity Estimation
3.2 Detecting Approaching Vehicles
3.3 Setting Detector Parameters
4 Examples and Evaluation
5 Real-Time Implementation
6 Discussion
References
Information Forensics and Security
A Novel Statistical Detector for Contourlet Domain Image Watermarking Using 2D-GARCH Model
1 Introduction
2 Statistical Modeling of Contourlet Coefficients
2.1 Contourlet Transform
2.2 2D-GARCH Model
2.3 2D-GARCH Model for Contourlet Coefficients
3 Proposed Watermarking Scheme
3.1 Watermark Insertion
3.2 Watermark Detection
4 Experimental Results
5 Conclusion
References
H-264/RTSP Multicast Stream Integrity
1 Introduction
2 State of the Art
3 Operating Environment
3.1 H.264/AVC/SVC
3.2 RTSP/RTP in Short
3.3 Cryptographic Functions
4 Our Method
4.1 Setup Procedure
4.2 Sender Procedure
4.3 Receiver Procedure
4.4 Restart on Lost Packet
5 Implementation Details
5.1 Setup Procedure
5.2 Sender and Receiver Procedure
5.3 Implementation
6 Conclusions and Future Works
References
PRNU-Based Forgery Localization in a Blind Scenario
1 Introduction
2 Camera-Based Forgery Localization Framework
2.1 Residual-Based Image Clustering
2.2 Camera Fingerprint Estimation
2.3 Camera Assignment
2.4 PRNU-Based Forgery Localization
3 Experimental Results
3.1 Image Clustering and PRNU Estimation
3.2 Image to Cluster Assignment
3.3 Forgery Localization
4 Conclusion
References
Recognizing Context for Privacy Preserving of First Person Vision Image Sequences
1 Introduction
2 Proposed System
2.1 Scenario and Communication Protocol
3 Visual Context Recognition
3.1 Bag-of-Words and k-Nearest Neighbors Algorithm
3.2 AlexNet and SVM Algorithm
4 Experimental Settings and Results
4.1 Dataset
4.2 BoW Model
4.3 Beacon-Enhanced BoW Model
4.4 AlexNet Model
4.5 Discussion
5 Conclusions
References
GRAPHJ: A Forensics Tool for Handwriting Analysis
1 Introduction
2 GRAPHJ
2.1 Automated Search of Text Lines
2.2 Automated Detection of Words
2.3 Automated Search of Characters
2.4 Measures
3 Experimental Analysis
4 Conclusion
References
Identity Documents Classification as an Image Classification Problem
1 Introduction
2 Previous Works
3 A Plurality of Methods
3.1 Bag-of-Words
3.2 Fisher Vectors
3.3 VLAD
3.4 Convolutional Neural Networks
4 Experiments
4.1 Datasets
4.2 Results
5 Conclusion
References
Using LDP-TOP in Video-Based Spoofing Detection
1 Introduction
2 The Proposed Method
2.1 The Recaptured Artifacts
2.2 Processing Pipeline
3 Experimental Analysis
3.1 Parameter Selection
3.2 Comparisons with State-of-the-Art Approaches
3.3 Computational Complexity
4 Conclusions
References
A Classification Engine for Image Ballistics of Social Data
1 Introduction
2 A Dataset of Social Imagery
3 Dataset Analysis
3.1 Image Filename Alterations
3.2 Image Size Alterations
3.3 Meta-Data Alterations
3.4 Image JPEG Compression Alterations
4 Image Ballistics of Social Data
4.1 Implementing Image Ballistics: A Classification Engine
4.2 Classification Results
5 Conclusions and Future Works
References
Join Cryptography and Digital Watermarking for 3D Multiresolution Meshes Security
1 Introduction
2 Related Works
3 Techniques and Methods
3.1 Encrypting Logo: AES Algorithm
3.2 Wavelet Transform
3.3 Concolutional Error Correcting Code
4 Proposed Approach
4.1 Embedding
4.2 Extraction
5 Results
5.1 Encryption System Evaluation
5.2 Watermarking Algorithm Evaluation
6 Conclusion
References
Kinect-Based Gait Analysis for People Recognition Over Time
1 Introduction
2 Related Work
3 Proposed Method
4 Datasets
5 Experimental Results
6 Conclusion
References
Imaging for Cultural Heritage and Archaeology
ARCA (Automatic Recognition of Color for Archaeology): A Desktop Application for Munsell Estimation
1 Introduction
2 Material and Methods
2.1 Acquisition Phase
2.2 ARCA Desktop Application
2.3 Validation Phase
3 Results
3.1 Best Configuration
3.2 Best Order Statistic
3.3 Discretization
3.4 Color Tolerance
4 Conclusions
References
Two-Stage Recognition for Oracle Bone Inscriptions
1 Introduction
2 Related Work
3 Recognition Flow
4 Preprocessing
4.1 Noise Reduction Processing
4.2 Skeleton Extraction
4.3 Line Feature Extraction
5 Recognition
5.1 First-Stage Recognition Using Distance Calculation
5.2 Second Stage Recognition Using Checkpoints
6 Experimental Results
6.1 Recognition Results
6.2 Recognition Analysis
7 Conclusion
References
Imaging Solutions for Improving the Quality of Life
Real Time Indoor 3D Pipeline for an Advanced Sensory Substitution Device
Abstract
1 Introduction
2 State of the Art
3 3D Processing Algorithms
3.1 Pre-processing
3.2 Planar Segmentation
3.3 Labeling
4 Experimental Results
5 Conclusions
Acknowledgement
References
Contactless Physiological Data Analysis for User Quality of Life Improving by Using a Humanoid Social Robot
1 Introduction
2 Physiological Parameters
3 Sensors
4 Methodology: Data Extraction and Analysis
4.1 Blink
4.2 Temperature Variation
4.3 Respiration
4.4 AUs
5 Results
5.1 Blinking
5.2 Thermal Data
5.3 Respiration
5.4 AUs
6 Discussion
7 Conclusion and Future Work
References
Exploiting Social Images to Understand Tourist Behaviour
1 Introduction
2 Proposed Method
2.1 Data Extraction and Exploration
2.2 Data Mining Techniques to Analyze Travel Preferences
3 Case Study
3.1 Analysis of Tourist Movements
4 Conclusion
References
Showing Different Images to Observers by Using Difference in Retinal Impulse Response
1 Introduction
2 Observation Model
2.1 Temporal Impulse Response of Human Retina
2.2 Observation Model from Impulse Response
2.3 Observation Model for Periodic Signals
3 Multiplex Image Representation from Impulse Response
4 Contrast Adjustment of Objective Images
4.1 Contrast Adjustment for a Whole Image
4.2 Pixel-Wise Contrast Adjustment
5 Experimental Results
5.1 Multiplex Image Representation
5.2 Comparison
6 Conclusion
References
A Framework for Activity Recognition Through Deep Learning and Abnormality Detection in Daily Activities
1 Introduction
2 Related Works
3 System Description
3.1 Human Tracking
3.2 Activity Recognition
3.3 Observing Abnormal Activities
4 Evaluation Results
5 Conclusion and Future Work
References
Combining Color Fractal with LBP Information for Flood Segmentation in UAV-Based Images
Abstract
1 Introduction
2 Proposed Method
2.1 Color Fractal Dimension
2.2 Color Local Binary Patterns
2.3 Image Segmentation
3 Experimental Results
4 Conclusions
Acknowledgements
References
Interconnected Neural Networks Based on Voting Scheme and Local Detectors for Retinal Image Analysis and Diagnosis
Abstract
1 Introduction
2 Methodology and Algorithm
2.1 Learning Phase
2.2 Optic Disc and Macula Segmentation
2.3 Hemorrhages and Exudates Classification
2.4 Blood Vessels Segmentation
3 Experimental Results
4 Conclusion
References
A Unified Color and Contrast Age-Dependent Visual Content Adaptation
1 Introduction
2 Background
3 Age-Based Content Adaptation Method
3.1 White Balance
3.2 Contrast Sensitivity Function
4 Experimental Validation
5 Conclusion
References
Deep Appearance Features for Abnormal Behavior Detection in Video
1 Introduction
2 Related Work
3 Method
3.1 Feature Extraction
3.2 Learning Model
4 Experiments
4.1 Data Sets
4.2 Evaluation
4.3 Implementation Details
4.4 Results on the Avenue Data Set
4.5 Results on the UMN Data Set
5 Conclusion and Future Work
References
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Image Analysis and Processing - ICIAP 2017

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