
New Trends in Image Analysis and Processing -- ICIAP 2015 Workshops
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Content
- Intro
- Preface
- Organization
- BioFor 2015 Organization
- CTMR 2015 Organization
- RHEUMA 2015 Organization
- ISCA 2015 Organization
- MADiMa 2015 Organization
- SBMI 2015 Organization
- QoEM 2015 Organization
- Contents
- BioFor 2015 - International Workshop on Recent Advances in Digital Security: Biometrics and Forensics
- Reflectance Normalization in Illumination-Based Image Manipulation Detection
- 1 Introduction
- 2 Forensic Exploitation of Lighting Environments
- 3 Reflectance Normalization as a Preprocessing Step
- 4 Evaluation
- 4.1 Data
- 4.2 Experiments
- 5 Conclusion
- References
- Evaluation of Residual-Based Local Features for Camera Model Identification
- 1 Introduction
- 2 Related Work
- 3 Residual-Based Local Features
- 4 Experimental Results
- 5 Conclusions
- References
- Biometric Walk Recognizer
- 1 Introduction
- 2 State of the Art for Accelerometer-Based Gait Recognition
- 3 The Approaches We Tested
- 3.1 Enrollment Phase
- 3.2 Testing Phase and Experimental Results
- Walk.
- Best Step and Best Step VS All.
- AllSteps VS All.
- Steps Sliding Window.
- 3.3 Discussion and Conclusions
- References
- Touchstroke: Smartphone User Authentication Based on Touch-Typing Biometrics
- 1 Introduction
- 2 Related Work
- 2.1 Software Keyboard-Based User Authentication
- 2.2 Sensor-Assisted Keystroke-Based User Authentication
- 3 Background
- 3.1 Considered Sensors and Classifiers
- 3.2 Performance Metric
- 4 Intuition Assessment
- 5 Experimental Evaluations
- 5.1 Data Collection
- 5.2 Feature Extraction
- 5.3 Data Fusion
- 5.4 Analysis
- 6 Discussion of Results
- 7 Conclusions and Future Work
- References
- EEG/ECG Signal Fusion Aimed at Biometric Recognition
- 1 Introduction
- 2 Related Works
- 3 The Proposed Approach
- 3.1 The Acquisition Process
- 3.2 Feature Extraction
- 3.3 EEG and ECG Fusion
- 4 Experimental Results
- 5 Further Works and Considerations
- References
- Fusion of Holistic and Part Based Features for Gender Classification in the Wild
- 1 Introduction
- 2 Approach
- 3 Results
- 4 Conclusions
- References
- A Hand Gesture Approach to Biometrics
- 1 Introduction
- 2 Related Work
- 3 Methodology
- 3.1 Apparatus and Participants
- 3.2 Procedure and Stimuli
- 3.3 Data Processing
- 3.4 Classifiers
- 4 Results
- 4.1 Identification
- 4.2 Verification
- 5 Conclusion and Future Work
- References
- Quis-Campi: Extending in the Wild Biometric Recognition to Surveillance Environments
- 1 Introduction
- 2 The QUIS-CAMPI System
- 2.1 Scene Understanding
- 2.2 Camera Control and Synchronization
- 2.3 Recognition Modules
- 3 Experimental Results
- 3.1 People Detection and Tracking
- 3.2 Biometric Recognition
- 4 Final Considerations
- References
- CTMR 2015 - Color in Texture and Material Recognition
- On Comparing Colour Spaces From a Performance Perspective: Application to Automated Classification of Polished Natural Stones
- 1 Introduction
- 2 Related Research
- 3 Materials
- 4 Methods
- 4.1 Colour Descriptors
- 4.2 Colour Spaces
- 4.3 Device-Dependent Spaces
- 4.4 Device-Independent Spaces
- 4.5 Colour Calibration and Gamut Mapping
- 5 Experiments and Results
- 6 Conclusions and Future Work
- References
- Methods for Predicting Spectral Response of Fibers Blends
- 1 Introduction
- 2 Methods
- 2.1 Statement of the Problem
- 2.2 K-M-Based Approach
- 2.3 Subtractive Mixing-Based Approach
- 3 Results
- 4 Conclusions
- References
- Texture Classification Using Rotation Invariant LBP Based on Digital Polygons
- 1 Introduction
- 2 Methodology
- 3 Experiments
- 4 Results and Discussion
- 5 Conclusions and Future Work
- References
- Analysis of Albedo Influence on Surface Urban Heat Island by Spaceborne Detection and Airborne Thermography
- 1 Introduction
- 2 Description of Data Recovery
- 2.1 Landsat Data
- 2.2 Airborne Data
- 2.3 LST Recovery from Landsat and Airborne
- 3 Surface Urban Heat Island Assessment
- 4 Albedo
- 5 Conclusions
- References
- An Interactive Tool for Speed up the Analysis of UV Images of Stradivari Violins
- 1 Introduction
- 2 Photographic Setup
- 3 Surface Analysis
- 3.1 HSV Histogram Quantization
- 3.2 User Interaction
- 4 Results
- 5 Conclusions
- References
- Local Angular Patterns for Color Texture Classification
- 1 Introduction
- 2 Proposed Descriptor
- 2.1 Local Angular Patterns
- 3 Experiments
- 4 Conclusions
- References
- Complexity Perception of Texture Images
- 1 Introduction
- 2 Subjective Experiment
- 3 Objective Measures
- 4 Results
- 5 Conclusions
- References
- RHEUMA 2015 -- Medical Imaging in Rheumatology: Advanced Applications for the Analysis of Inflammation and Damage in the Rheumatoid Joint
- An MRI Study of Bone Erosions Healing in the Wrist and Metacarpophalangeal Joints of Patients with Rheumatoid Arthritis
- 1 Introduction
- 2 Patients and Methods
- 3 Results
- 4 Discussion
- References
- RheumaSCORE: A CAD System for Rheumatoid Arthritis Diagnosis and Follow-Up
- 1 Introduction
- 2 State of the Art
- 2.1 CAD Systems
- 2.2 Segmentation
- 2.3 Erosion Evaluation
- 3 RheumaSCORE
- 3.1 Main Functionalities
- 3.2 Bones Segmentation
- 3.3 Evaluation of RA Status and Progression
- 3.4 RheumaSCORE in Clinical Applications
- References
- A Database of Segmented MRI Images of the Wrist and the Hand in Patients with Rheumatic Diseases
- 1 Introduction
- 2 Rheumatic Diseases
- 3 Database Collection
- 3.1 QuantaView DICOM Viewer
- 3.2 Patient Browser Web Application
- 4 Assessment of the Results
- 5 Conclusions
- References
- Novel Automatic Tool for Magnetic Resonance Imaging Quantification of Bone Erosion Scoring in Rheumatoid Arthritis
- 1 Introduction
- 2 Background and Previous Work
- 3 Automatic Bone Erosion Scoring
- 3.1 Construction of the Statistical Shape Model
- 3.2 Bone Reconstruction
- 3.3 Volume Evaluation
- 4 Automatic Bone Erosion Scoring and Clinical Applications
- References
- Optimizing and Evaluating a Graph-Based Segmentation of MRI Wrist Bones
- 1 Introduction
- 2 Proposed Method
- 2.1 Segmentation
- 2.2 Database: Training and Testing Phases
- 3 Quantitative Evaluation
- 4 Results and Discussion
- Training Phase.
- Testing Phase.
- 5 Conclusions
- References
- Generation of 3D Canonical Anatomical Models: An Experience on Carpal Bones
- 1 Introduction
- 2 3D Canonical Models in the Medical Domain
- 3 Statistical Shape Analysis
- 4 Experiments and Discussion
- 5 Conclusions and Future Work
- References
- ISCA 2015 - Image-Based Smart City Application
- DicomPrint, an Application for Managing DICOM Images
- 1 Introduction
- 2 System Architec cture
- 2.1 Environment Descr ription
- 2.2 Architecture Overv view and Main Software Components
- 3 Dynamic Behavior of Architecture
- 3.1 Interaction between n Components and Procedures
- 3.2 Software Screenshots
- 4 Discussion and Further Work
- References
- Accurate Positioning and Orientation Estimation in Urban Environment Based on 3D Models
- 1 Introduction
- 2 The Positioning Procedure
- 2.1 High Level Functio onal Steps
- 2.2 The 3D Model and the Synthetic Images Database
- 2.3 The Retrieval of Reference Image out of the Reference Database
- 2.4 The Estimation Procedure of Camera Parameters
- 3 The Test Site
- 4 Trial Results
- 4.1 Accuracy
- 4.2 Processing Load
- 5 Conclusions
- References
- An Hippocampal Segmentation Tool Within an Open Cloud Infrastructure
- 1 Introduction
- 2 Materials and Methods
- 2.1 Increasing Inter-subject Similarity
- 2.2 Classification and Segmentation
- 2.3 Cloud Deployment as a Service
- 3 Results
- 4 Conclusion and Future Work
- References
- A Survey on Traffic Light Detection
- 1 Introduction
- 2 Feature Extraction
- 2.1 Color Segmentation
- 2.2 Shape Properties
- 3 Classifiers
- 3.1 Distance Estimation
- 4 A Priori Information
- 5 Conclusions
- References
- Saliency-Based Keypoint Reduction for Augmented-Reality Applications in Smart Cities
- 1 Introduction
- 2 Saliency-Based Keypoint Selection: An Overview
- 3 A Case Study: A Museum Tour with Augmented Reality
- 4 Conclusions
- References
- A Likelihood-Based Background Model for Real Time Processing of Color Filter Array Videos
- 1 Introduction
- 2 Methodology
- 2.1 Algorithm Description
- 2.2 Variance Process
- 2.3 Likelihood Process
- 2.4 Fine Tuning Process
- 3 Experiments and Results
- 4 Conclusion
- References
- Smart Maintenance to Support Digital Life
- 1 Introduction
- 2 The Reference Architectural Model
- 3 Experiments
- 3.1 An Experiment in Network Management
- 3.2 An Experiments in Smart Metering
- 4 Conclusions
- References
- FSSGR: Feature Selection System to Dynamic Gesture Recognition
- 1 Introduction
- 2 FSSGR
- 2.1 CIPBR Feature Extractor Module
- 2.2 Particle Swarm Optimization
- 2.3 Selector Algorithm
- 3 Experiments and Discussion
- 4 Conclusion
- References
- Interoperability of Biometric Systems: Analysis of Geometric Characteristics of Handwritten Signatures
- 1 Introduction
- 2 Experimental Setup
- 3 Experimental Results
- 4 Conclusion and Future Work
- References
- Computer Aided Evaluation (CAE) of Morphologic Changes in Pigmented Skin Lesions
- 1 Introduction
- 2 Prior Researches and Adopted Approaches
- 3 Adopted Method
- 4 The Proposed CAE System
- 5 Simulation Resu ults
- 6 Conclusion
- References
- Analytical Method and Research of Uyghur Language Chunks Based on Digital Forensics
- 1 Introduction
- 2 Definition of Chunk and Establishment of Language Database
- 2.1 Definition and Division Principles of Chunk
- Definition 1:
- 2.2 Formulation of Uyghur Language Chunk Tag Set
- 2.3 Construction of Uyghur Language Chunking Corpus
- 3 Chunk Analysis Algorithm Based on Statistical Learning Model
- 3.1 Description on Relevant issues of Chunk Analysis
- 3.2 Research and Analysis on Chunk Analysis Methods
- 3.3 Establishment of Characteristic Space
- 3.4 Establishment of Synonym Mark Database
- 4 Test and Analysis
- 4.1 Feature Selection
- 4.2 Cross Validation Test
- 5 Conclusion
- References
- CLICK TEATRO Project: Augmented Reality and Promotion of Theater Events
- 1 Introduction
- 2 Augmented Reality: An Overview
- 3 CLICK TEATRO System
- 4 Augmented Rea ality and CLICK TEATRO
- 5 Evaluation of System's Usability
- 6 Conclusion
- References
- A Marker-Based Image Processing Method for Detecting Available Parking Slots from UAVs
- 1 Introduction
- 2 Parking Status Recognition
- 3 Parking Markers Detection
- 3.1 Implemented Procedure
- Reference Marker Data Import.
- Image Acquisition and Se egmentation.
- Edge Detection and Shape Contours.
- Morphological Processing.
- Object Warping.
- Profile Extraction.
- Profile Matching.
- References
- Crosswalk Recognition Through Point-Cloud Processing and Deep-Learning Suited to a Wearable Mobility Aid for the Visually Impaired
- 1 Introduction and Related Work
- 2 Overview of the Wearable Mobility Aid
- 3 Proposed Crosswalk Recognition Approach
- 3.1 Head Pose Estimation and Image Refinement
- 3.2 CNN Architecture for Crosswalk Recognition
- 4 Experimental Results
- 5 Conclusions
- References
- Early Diagnosis of Neurodegenerative Diseases by Handwritten Signature Analysis
- 1 Introduction
- 2 The Sigma-Lognormal Model
- 3 Alzheimer Pre-diagnosis System Experimental Results
- µ
- D
- 4 Experimental Results
- 5 Conclusions
- References
- A New Context-Aware Computing Method for Urban Safety
- 1 Introduction
- 2 Context Modeling
- 2.1 Context Information
- 2.2 Positive Contextual Objects in Urban Safety
- 2.3 Negative Contextual Objects in Urban Safety
- 2.4 Contextual Effects in Urban Safety
- 3 Context Aware Computing for Safety Prediction
- 3.1 Context Extraction
- 3.2 Context Aware Urb ban Safety Metric
- 4 Experimental Results
- 5 Conclusions
- References
- MADiMa 2015 - 1st International Workshop on Multimedia Assisted Dietary Management
- Estimating the Nutrient Content of Commercial Foods from their Label Using Numerical Optimization
- 1 Introduction
- 2 Step 1: Nutrient Content Estimation Using Approximate Ingredient Amounts
- 2.1 Estimating Ingredient Amounts Based on an Approximate Inverse Recipe Method
- 3 Step 2: Nutrient Content Estimate Refinement Using Simplex Algorithm
- 4 Numerical Experiment: Application to Phenylalanine (Phe) Content Estimation
- 5 Summary and Conclusions
- References
- The Use of Temporal Information in Food Image Analysis
- 1 Introduction
- 2 Food Image Analysis
- 2.1 Image Acquisition and User Feedback
- 2.2 Image Segmentation and Food Identification
- 3 Temporal Context
- 3.1 Recursive Bayesian Model
- 3.2 Decision Fusion
- 4 Experimental Results
- 5 Conclusions
- References
- Tastes and Textures Estimation of Foods Based on the Analysis of Its Ingredients List and Image
- 1 Introduction
- 2 Tastes Estimation Method
- 2.1 Training Step
- 2.2 Estimation Step
- 3 Experiments
- 3.1 Tastes Estimation Experiments
- 3.2 Application to Textures Estimation
- 4 Conclusion
- References
- Food Recognition and Leftover Estimation for Daily Diet Monitoring
- 1 Introduction
- 2 Proposed System
- 2.1 Food Recognition
- 2.2 Leftover Estimation
- 3 Experiments
- 4 Conclusions
- References
- Mobile Computing and Artificial Intelligence for Diet Management
- 1 Introduction
- 2 A Cloud Architecture for Diet Management
- 3 AI for Diet Management
- 3.1 NLP for Recipe Analysis
- 3.2 Reasoning over Recipes and Diet
- 3.3 Motivating with NLG
- 4 Conclusions
- References
- Highly Accurate Food/Non-Food Image Classification Based on a Deep Convolutional Neural Network
- 1 Introduction
- 2 Related Work
- 3 CNN-Based Approach to Food/Non-Food Classification
- 4 Datasets
- 4.1 Instagram-#Food Dataset (IFD)
- 4.2 Food-101/Caltech-256 Dataset (FCD)
- 5 Experiment
- 5.1 Instagram Food/Non-Food Dataset (IFD)
- Ground truth : food Ground truth : non-food
- 5.2 Food-101/Caltech-256 Dataset (FCD)
- 5.3 Dataset Used in [4]
- round truth : food round truth : non-food
- Method Accuracy
- 99.1±0.81%
- 5.4 Cross Dataset Evaluation
- Experiment Accuracy
- 6.
- Ground truth : food Ground truth : non-food
- 5.5 Fine-Tune Model vs. from-Scratch for Cross Dataset Evaluation
- 91.5%
- 6 Conclusion
- References
- A Printer Indexing System for Color Calibration with Applications in Dietary Assessment
- 1 Introduction
- 2 Color Correction and Printer Indexing
- 2.1 Color Correction
- 2.2 Printer Indexing System
- 2.3 Error Control Using Binarized Marks
- 3 Experimental Results
- 4 Conclusion
- References
- Food Object Recognition Using a Mobile Device: State of the Art
- 1 Introduction
- 2 Methods
- 2.1 Comparisons of Applications
- 2.2 The Applications
- 3 Review of Applications
- 3.1 Joutou and Yanai, 2009
- 3.2 Puri et al., 2009
- 3.3 Kong and Tan, 2012
- 3.4 Rahman et al., 2012
- 3.5 Kawano and Yanai, 2013
- 3.6 Anthimopoulos et al., 2013
- 3.7 Pouladzadeh, Shirmohammadi and Arici, 2013
- 4 Conclusions and Discussion
- References
- On the Exploitation of One Class Classification to Distinguish Food Vs Non-Food Images
- 1 Introduction and Motivation
- 2 Proposed Method
- 3 Experimental Settings and Results
- 4 Conclusion
- References
- Food Recognition Using Consensus Vocabularies
- 1 Introduction and Motivation
- 2 Consensus Vocabularies
- 3 Experimental Results
- 4 Conclusions and Future Works
- References
- Using Small Checkerboards as Size Reference: A Model-Based Approach
- 1 Introduction
- 2 Method
- 2.1 Locating the Checkerboard
- 2.2 Corners Detection
- 3 Experimental Results
- 4 Conclusions and Future Works
- References
- Fractal Nature of Chewing Sounds
- 1 Introduction
- 2 Fractal Dimension of Chewing Sounds
- 3 Designing a Detection Algorithm
- 4 Experiments
- 5 Conclusions
- References
- Objective and Subjective Meal Registration via a Smartphone Application
- 1 Introduction
- 2 Related Work
- 3 Methods
- 3.1 Objective Meal Registration
- 3.2 Subjective Meal Registration
- 3.3 User Feedback
- 4 Usability Evaluation
- 4.1 Usability Evaluation Protocol and Questionnaire
- 4.2 Analysis of Usability Evaluation Results
- 5 Conclusions
- References
- Towards an Engaging Mobile Food Record for Teenagers
- 1 Introduction
- 2 The PEGASO System
- 3 From Calories to Target Behaviours
- 4 User Experience Design
- 5 Conclusion
- References
- MANGO - Mobile Augmented Reality with Functional Eating Guidance and Food Awareness
- 1 Introduction
- 2 Related Work
- 3 Functional Eating Dietary Concept
- 4 Mobile Augmented Reality and Information System
- 4.1 Food Recognition Methodology
- 5 Experimental Results
- 6 Conclusion
- References
- Dish Detection and Segmentation for Dietary Assessment on Smartphones
- 1 Introduction
- 2 Proposed Metho ods
- 2.1 Dish Detection
- 2.2 Segmentation
- Automatic Segmentation.
- Semi-automatic Segmenta ation.
- 3 Experimental R Results
- 3.1 Data and Experime ental Setup
- 3.2 Results
- Dish Detection.
- Segmentation.
- 4 Conclusion
- References
- FooDD: Food Detection Dataset for Calorie Measurement Using Food Images
- 1 Introduction
- 2 Related Work
- 3 Food Recognition
- 4 Dataset Collection
- 4.1 Camera
- 4.2 Lighting
- 4.3 Shooting Angle
- 4.4 White Plate
- 4.5 Thumb
- 4.6 Single and Mixed F Food
- 4.7 Food Item Types
- 5 Experimental Results
- 6 Dataset Availab bility and Format
- 7 Conclusion
- References
- CNN-Based Food Image Segmentation Without Pixel-Wise Annotation
- 1 Introduction
- 2 Proposed Method
- 2.1 Selective Search
- 2.2 Bounding Box Grouping
- 2.3 Saliency Maps by Back Propagation over Trained DCNN
- 2.4 Segmentation by GrabCut
- 3 Experiments
- 3.1 Food Detection Evaluation
- 3.2 Evaluation on Pascal VOC 2007 Detection Task
- 4 Conclusions
- References
- Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks
- 1 Introduction
- 2 Methods
- 2.1 Convolutional Neural Networks
- 2.2 System Description
- Preprocessing.
- Network Training.
- Food Recognition.
- 3 Experimental Setup and Results
- 3.1 Experimental Setup
- 3.2 Results
- 4 Conclusions
- References
- SBMI 2015 - Scene Background Modeling and Initialization
- Towards Benchmarking Scene Background Initialization
- 1 Introduction
- 2 Sequences
- 3 Metrics
- 4 Experimental Results and Comparisons
- 5 Concluding Remarks and Future Perspectives
- References
- Simple Median-Based Method for Stationary Background Generation Using Background Subtraction Algorithms
- 1 Introduction
- 2 Proposed Method
- 2.1 Related Work
- 3 Experiments and Results
- 3.1 Background Subtraction Algorithms
- 3.2 The Metrics Used to Assess the Estimated Background Images
- 3.3 Results
- 4 Conclusion
- References
- Multi-modal Background Model Initialization
- 1 Introduction
- 2 Related Work
- 3 IMBS Background Model Initialization
- 4 Experimental Results
- 5 Summary and Conclusions
- References
- Background Modeling by Weightless Neural Networks
- 1 Introduction
- 2 The WiSARDrp Weightless Neural Model
- 3 The BGWiS Approach to Background Modeling
- 4 BGWiS Experiment Settings and Results
- 5 Conclusions
- References
- BMTDL for Scene Modeling on the SBI Dataset
- 1 Introduction
- 2 A Review of the BMTDL Algorithm
- 2.1 1-Dictionary Learning
- 2.2 The Background Modeling Procedure
- 3 Experimental Results
- 4 Discussion
- References
- Comparison of Matrix Completion Algorithms for Background Initialization in Videos
- 1 Introduction
- 2 Joint Motion Detection and Frame Selection
- 3 Matrix Completion
- 4 Experimental Results
- 5 Conclusion
- References
- Real-Time Implementation of Background Modelling Algorithms in FPGA Devices
- 1 Introduction
- 1.1 FPGA Devices
- 1.2 FPGA Logic Design Methodology
- 2 Background Modelling Implemented in FPGA
- 2.1 The General Scheme
- 2.2 Implemented Algorithms
- 2.3 Evaluation on the SBI Dataset
- 3 Summary
- References
- A Perfect Estimation of a Background Image Does Not Lead to a Perfect Background Subtraction: Analysis of the Upper Bound on the Performance
- 1 Introduction
- 2 The Traditional Processing Pipeline of BGS Algorithms
- 3 Methodology
- 4 Results and Discussion
- 5 Conclusion
- References
- Nonlinear Background Filter to Improve Pedestrian Detection
- 1 Introduction
- 2 Methodology
- 2.1 Motion History Image
- 2.2 Motion-guided Filtering
- 3 Experiments and Results
- 3.1 Setup
- 3.2 Results
- 4 Conclusion
- References
- QoEM 2015 - Workshop on Image and Video Processing for Quality of Multimedia Experience
- Full-Reference SSIM Metric for Video Quality Assessment with Saliency-Based Features
- 1 Introduction
- 2 The Salient Model
- 3 Salient-Based SS SIM
- 4 Experimental Results
- 5 Conclusion
- References
- Video Quality Assessment for Mobile Devices on Mobile Devices
- 1 Introduction
- 2 Background and Related Work
- 3 Methodology
- 3.1 Test Set
- 4 Experiment and Results
- 5 Conclusions and Future Work
- References
- An Efficient SIMD Implementation of the H.265 Decoder for Mobile Architecture
- 1 Introduction
- 2 SIMD Implementation
- 2.1 Deblocking Filter
- 2.2 SAO Filter
- 2.3 Motion Compensation
- 3 Results
- 4 Conclusions and Future Work
- References
- Kinematics Analysis Multimedia System for Rehabilitation
- 1 Introduction
- 2 Proposed System
- 2.1 Preparation
- 2.2 Tracking
- 3 Visual Analysis
- 4 Experimental Results and Discussion
- 5 Conclusion
- References
- Evaluation of Signal Processing Methods for Attention Assessment in Visual Content Interaction
- 1 Introduction
- 2 Background
- 3 Methods
- 4 Results and Discussion
- References
- Why You Trust in Visual Saliency
- 1 Introduction
- 2 Visual Saliency Estimation
- 3 Metrics
- 3.1 Considered Metrics
- 4 Results
- 4.1 Saliency Map Accu uracy
- 4.2 Effect of Noise
- 4.3 Effect of Compression
- 5 Conclusions and Future Works
- References
- Author Index
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