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Image Processing and Communications Challenges 8 : 8th International Conference, IP&C 2016 Bydgoszcz, Poland, September 2016 Proceedings

By: Choraś, Ryszard S.
Material type: TextTextSeries: eBooks on Demand.Advances in Intelligent Systems and Computing: Publisher: Cham : Springer International Publishing, 2016Description: 1 online resource (290 p.).ISBN: 9783319472744.Subject(s): Image processing--Digital techniques--CongressesGenre/Form: Electronic books.Additional physical formats: Print version:: Image Processing and Communications Challenges 8 : 8th International Conference, IP&C 2016 Bydgoszcz, Poland, September 2016 ProceedingsDDC classification: 620 Online resources: Click here to view this ebook.
Contents:
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
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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

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