
Image Processing and Communications Challenges 8
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Content
- Intro
- Preface
- Organization
- Organization Committee
- Conference Chair
- International Program Committee
- Organizing Committee
- Contents
- Image Processing
- 20 Years of Progress in Video Compression -- from MPEG-1 to MPEG-H HEVC. General View on the Path of Video Coding Development
- 1 Video Compression -- What Is It About?
- 2 What Algorithms and Compression Technologies Have Been Developed?
- 2.1 Algorithms of Data Encoding
- 2.2 Video Compression Technologies
- 3 Milestones in History of Hybrid Video Compression Development
- 4 Is There Any Pattern in the Chaos?
- 5 New Replacing the Old
- 6 What Was the Driving Force for Video Compression Enhancements?
- 7 Evolution of Functionalities
- 8 Developing New Encoders -- Change of Paradigms
- 9 What Will Come in Upcoming Years?
- References
- Automatic Tongue Recognition Based on Color and Textural Features
- 1 Introduction
- 2 Preprocessing
- 3 Feature Extraction
- 3.1 Feature Extraction Based on Color Moments
- 3.2 Gabor Filters for Feature Extraction
- 4 Conclusion
- References
- A First Attempt to Construct Effective Concept Drift Detector Ensembles
- 1 Introduction
- 2 Combined Concept Drift Detectors
- 2.1 ALO (At Least One detects drift)
- 2.2 ALHWD (At Least Half of the Detectors returns Warnings or detect Drift)
- 2.3 ALHD (At Least Half of the detectors detect Drift)
- 2.4 AWD (All detectors return Warnings or detect Drift)
- 2.5 AD (All detectors detect Drift)
- 3 Experimental Research
- 3.1 Goals
- 3.2 Set-Up
- 3.3 Results
- 3.4 Discussion
- 4 Final Remarks
- References
- Quality Prediction of Compressed Images via Classification
- 1 Introduction
- 2 Related Works
- 3 Proposed Classification-Based Compression Approach
- 4 Experimental Investigation
- 5 Conclusions
- References
- Image Despeckling Using Non-local Means with Diffusion Tensor
- 1 Introduction
- 2 Theoretical Considerations of NLM
- 2.1 Classical NLM (NLMC)
- 2.2 NLM with Structure Tensor (NLMST)
- 2.3 NLM with Diffusion Tensor (NLMDT)
- 3 Experimental Results
- 4 Conclusions
- References
- Face Recognition with 3D Face Asymmetry
- 1 Introduction
- 2 Proposed Method
- 2.1 Preprocessing
- 2.2 Measurement of the Asymmetry
- 2.3 Recognition System
- 3 Experiments
- 4 Conclusion
- References
- Best-Fit Segmentation Created Using Flood-Based Iterative Thinning
- 1 Introduction
- 2 The Problem of Imprecise Segmentation
- 2.1 Thinning
- 2.2 Adjusting the Valley Segmentation Courses
- 3 Flood-Based Iterative Thinning Algorithm (FIT)
- 3.1 Improvement of Thinning
- 3.2 Testing of Flood-Based Iterative Thinning
- 4 Conclusions
- References
- A Comparative Study of Image Enhancement Methods in Tree-Ring Analysis
- 1 Introduction
- 2 Attempts to Enhancement of Wood Core Images
- 2.1 Thresholding
- 2.2 Contrast Enhancement Methods
- 2.3 Textural Features
- 2.4 Using Convolution Filters
- 3 The Assessment of the Results
- 4 Conclusions
- References
- Key Frames Detection in Motion Capture Recordings Using Machine Learning Approaches
- 1 Introduction
- 2 Materials and Methods
- 2.1 Features Set
- 2.2 The Action's Key Frames Detection with Clustering Algorithms
- 2.3 Clustering Results Evaluation
- 3 Results
- 4 Discussion and Conclusions
- References
- Image Similarity in Gaussian Mixture Model Based Image Retrieval
- 1 Introduction
- 2 Analyzed Color Spaces
- 3 Gaussian Mixture Models for Image Modeling
- 4 Comparison of Gaussian Mixture Models
- 5 Experimental Results
- 6 Conclusions
- References
- A Flexible Software Architecture for a Network of Heterogeneous Smart Cameras
- 1 Introduction
- 2 Related Work
- 3 Description of the Implemented System
- 4 Image Processing
- 5 Communication Scheme
- 6 Results and Discussion
- 7 Conclusions
- References
- Quality Assessment of 3D Prints Based on Feature Similarity Metrics
- 1 Introduction
- 2 Similarity Based Image Quality Metrics
- 3 Proposed Approach and Discussion of Experiments
- 4 Experimental Results
- 5 Concluding Remarks and Directions of Future Work
- References
- Noise Objects Tracking Using Multiple Order Statistics and Spatio--Temporal Track--Before--Detect Algorithm
- 1 Introduction
- 1.1 Outline of the Paper
- 1.2 Related Works
- 1.3 Contribution of the Paper
- 2 Noise Objects
- 2.1 Detection of Noise Objects
- 3 Multiple Order Statistics
- 4 Monte Carlo Tests
- 5 Discussion
- 6 Conclusions and Further Works
- References
- Active Learning Algorithm Using the Discrimination Function of the Base Classifiers
- 1 Introduction
- 2 Ensemble of Classifiers
- 3 Proposal of Active Learning Algorithm Using the Decision Profile
- 3.1 Proposal of Information Value Calculations
- 4 Experimental Studies
- 5 Conclusion
- References
- The EOH Line Selector for Images with Downgraded Size for Mobile Robots Steering
- 1 Introduction
- 2 Simple Random Sampling as a Method of Image Data Reduction
- 2.1 Comparison of Methods for Image Size Reduction
- 3 Extraction of Regions with Lines with Known Orientation
- 4 Tests
- 4.1 Example of ROI Selection
- 4.2 Example of Mobile Robot Steering
- 5 Conclusions
- References
- Swipe-Like Text Entry by Head Movements and a Single Row Keyboard
- 1 Introduction
- 2 Related Works
- 2.1 Head Operated Interfaces
- 2.2 User's Head Detection for Touchless Interfaces
- 3 Interface Concept
- 4 Development of the Interface
- 4.1 Detection and Tracking of the User's Head
- 4.2 Swipe Gesture Analysis
- 5 Conclusions
- References
- The Feature Extraction From the Parameter Space
- 1 Introduction
- 2 Using the Data of Parameter Space in the Task of Identifying Postal Address Information
- 2.1 Radon Transformation
- 2.2 Extracting the Characteristic Points of the Parameter Space
- 2.3 Extracting of Connected Areas of the Parameter Space
- 2.4 The Analysis of the Results
- 3 Summary
- References
- Lossless Compression Method for Digital Terrain Model of Seabed Shape
- 1 Introduction
- 2 Previous Works
- 3 Method Description
- 3.1 Assumptions
- 3.2 DTM's Data Files Characteristics
- 3.3 Preliminary Analysis of Algorithm Components
- 3.4 Proposed Differential Data Coding Using Variable Byte Length
- 4 Experiments
- 5 Conclusions
- References
- On Combining Dual Morphological Binary Operators Using Median Set
- 1 Introduction
- 2 Background Notions and Definitions
- 2.1 Duality of Morphological Operators
- 2.2 Pairs of Dual Morphological Operators
- 2.3 Median Set
- 3 Combining Dual Operators Using Morphological Median
- 4 Conclusions
- References
- Subjective Image Quality Assessment Optimization
- 1 Introduction
- 2 Previous Work
- 3 The Most Prominent Experimental Method
- 4 Scene Pre-selection Method
- 5 Conclusions and Future Work
- References
- Action Recognition Using Silhouette Sequences and Shape Descriptors
- 1 Introduction
- 2 Developed Approach---Data Processing Steps
- 2.1 Step 1---Calculation of Shape Descriptor for Each Silhouette
- 2.2 Step 2---Matching All Shape Descriptors Within One Sequence
- 2.3 Step 3---Converting the Distance Vectors into Sequence Representations
- 2.4 Step 4---Selection of Matching Procedure and Splitting Data
- 2.5 Step 5---Estimation of the Similarity Between Sequence Descriptors
- 3 Experiments and Results
- 4 Summary and Conclusions
- References
- Influence of Aggregating Window Size on Disparity Maps Obtained from Equal Baseline Multiple Camera Set (EBMCS)
- 1 Introduction
- 2 Related work
- 3 EBMCS Camera Arrangement
- 4 Matching Measures for EBMCS
- 5 Quality Measure and Ground Truth
- 6 Experiments
- 7 Summary
- References
- Combining Image Thresholding and Fast Marching for Nuclei Extraction in Microscopic Images
- 1 Introduction
- 2 Materials and Methods
- 2.1 Study Dataset
- 2.2 Nuclei Segmentation
- 2.3 Feature Extraction
- 2.4 Classification
- 3 Experimental Results
- 4 Conclusions
- References
- Multiclass AdaBoost Classifier Parameter Adaptation for Pattern Recognition
- 1 Introduction
- 2 The Binary AdaBoost Classifier with Haar-Like Features for Object Detection
- 2.1 Strong AdaBoost Classifier Training
- 2.2 The Cascaded Version of AdaBoost Classifier for Object Detection
- 3 The Binary Classifiers Assembling Algorithm
- 3.1 The Assembling Algorithm Parametrization
- 3.2 The Framework of Optimisation Procedure
- 3.3 Description of Assembling Algorithm Parameters
- 3.4 Data Preparation and Binary Classifier Training Stage
- 4 Experiments and Optimization Results
- 5 Conclusions
- References
- Communications
- CIPRNet Training Lecture: Hybrid Simulation of Distributed Large-Scale Critical Infrastructures
- References
- Latin Multiplication in Telemetry Hot Potato Wireless Sensor Networks Analysis
- 1 Introduction
- 2 WSNs Communication Protocols
- 3 WSN Analysis
- 3.1 Hot Potato Protocol
- 3.2 First Modification of the Hot Potato Protocol
- 3.3 The Second Modification of the H-P Protocol
- 4 Obtained Results
- 5 Summary and Conclusions
- References
- Extreme Learning Machines for Web Layer Anomaly Detection
- 1 Introduction
- 2 Related Work
- 3 Proposed Method Overview
- 4 Request Content Validation Algorithm
- 4.1 Extreme Learning Machine
- 4.2 Data Encoding
- 5 Experiments
- 6 Results
- 7 Conclusions
- References
- NEW QoS CONCEPT for Protecting Network Resources
- 1 Introduction
- 2 CONCEPT of QoS Method
- 2.1 Description of the DDoS Attacks
- 2.2 QoS Method Used on Routers
- 2.3 Proposition of the New QoS Method
- 2.4 Web Browsers Test
- 3 Conclusions
- References
- QoS Mechanism for Low Speed Radio Networks - Case Study
- 1 Instroduction
- 2 A System with the BRM - Case Study
- 2.1 BRM Description
- 2.2 Mechanisms Implemented in BRM
- 2.3 Queues Mechanism in BRM
- 3 Conclusions
- References
- IoT WiFi Home Network Stress Test
- 1 Introduction
- 2 WiFi Internet of Things Architecture
- 3 Network Stress Test
- 3.1 Throughput and Jitter Test
- 3.2 Latency Test
- 3.3 Fault Test
- 4 Conclusions
- References
- Determining the Bit Error Rate for Redundant Transmission
- 1 Introduction and Motivation
- 2 Derivation and Results
- 3 Conclusions
- References
- Power Consumption Optimization in Datacenters Using PSO Tuning in Fuzzy Rule-Based Systems
- 1 Introduction
- 2 Background
- 2.1 Cloud Computing
- 2.2 Cloud Scheduling
- 3 Proposed Algorithm
- 4 Simulation and Results
- 5 Conclusions
- References
- Considering Service Name Indication for Multi-tenancy Routing in Cloud Environments
- 1 Introduction
- 2 Separating Applications in Cloud Based Environment
- 3 Multi-tenant Applications
- 4 Using SNI Server Name for Identifying Client
- 5 SNI Based Multi-tenant Router Implementation
- 6 Prototype Evaluation
- 7 Conclusions
- References
- Erratum to: A Flexible Software Architecture for a Network of Heterogeneous Smart Cameras
- Erratum to:Chapter 11 in: R.S. Choras (ed.)Image Processing and Communications Challenges 8DOI: 10.1007/978-3-319-47274-4_11
- Author Index
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