| Description |
1 online resource (383 pages) |
| Series |
Communications in Computer and Information Science ; v. 1212 |
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Communications in computer and information science ; 1212
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| Contents |
Intro -- Preface -- Organizing Committee -- Contents -- Real-World Applications -- Efficient and Fast Traffic Congestion Classification Based on Video Dynamics and Deep Residual Network -- 1 Introduction -- 2 The Proposed System -- 2.1 Video Dynamics Extraction -- 2.2 Feature Extraction Using Deep CNN -- 2.3 Classification Step -- 3 Experimental Results and Discussion -- 3.1 Analyzing the Performance of the Proposed System with UCSD Dataset -- 3.2 Analyzing the Performance of the Proposed System with NU1 Dataset -- 3.3 Analyzing the Processing Time of the Proposed System -- 4 Conclusion |
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5 Conclusions -- References -- Deep Matting for AR Based Interior Design -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 ROI Selection -- 3.2 Handling Illumination Changes -- 3.3 Deep Foreground/Background Objects Segmentation -- 3.4 Deep Alpha-Matting -- 3.5 User Selected Texture Transformation -- 4 Experiments -- 4.1 Deep Image Matting Evaluation -- 4.2 Deep Foreground Segmentation Evaluation -- 4.3 User's Qualitative IID Experience -- 5 Conclusion -- References -- Examination and Issues of Kumamoto Castle Ishigaki Region Extraction Focusing on Stone Contour Features |
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1 Introduction -- 2 Related Research -- 3 Stone Extraction Method -- 3.1 GrabCut Extraction -- 3.2 Watershed Extraction -- 3.3 GrabCut and Watershed Extraction -- 4 Experiment -- 4.1 Experiment Environment -- 4.2 Error Calculation with Ground Truth -- 4.3 Extraction Results Obtained by Each Method -- 4.4 Selecting the Contour Candidate with Minimum Error -- 4.5 Consideration -- 5 Conclusion -- References -- Detection of Speech Impairments in Parkinson Disease Using Handcrafted Feature-Based Model on Spanish Speech Corpus -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology |
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3.1 Handcrafted Feature Extraction -- 3.2 Classification -- 4 Experimental Setup and Results -- 4.1 Experimental Tools -- 4.2 Spanish Speech Dataset -- 4.3 Evaluation Metrics -- 4.4 Results -- 5 Conclusion -- References -- Face, Pose, and Action Recognition -- Short-Term Action Recognition by 3D Convolutional Neural Network with Pixel-Wise Evidences -- 1 Introduction -- 2 Related Works -- 2.1 3D Convolutional Neural Network -- 2.2 Autoencoder -- 2.3 C3D -- 2.4 GoogLeNet -- 3 3D CNN with Pixel-Wise Evidences -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation Details of PWE 3D CNN |
| Summary |
This book constitutes refereed proceedings of the 26th International Workshop Frontiers of Computer Vision, IW-FCV 2020, held in Ibusuki, Kagoshima, Japan, in February 2020. The 27 full papers presented were thoroughly reviewed and selected from 68 submissions. The papers in the volume are organized according to the following topics: real-world applications; face, pose, and action recognition; object detection and tracking; inspection and diagnosis; camera, 3D and imaging |
| Bibliography |
References-Early Wildfire Detection Using Convolutional Neural Network-1 Introduction-2 Dataset Collection-2.1 Automatic Image Crawling-2.2 Automatic and Manual Cleanup-2.3 Final Patch and Class Labeling-3 Proposed Framework-3.1 Network Architecture Selection-3.2 Class Imbalance-3.3 Training-3.4 Implementation Details-4 Experimental Results and Discussion-4.1 Multi-class Classification-4.2 Binary Projection-4.3 Optimal Cut-Off Selection-4.4 Patch Classification to Frame-Level Detection-4.5 Qualitative Wildfire Detection Results on Unseen Data |
| Notes |
4.3 Performance of the PWE 3D CNN |
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Print version record |
| Subject |
Computer vision -- Congresses
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Computer vision
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Ohyama, Wataru
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Jung, Soon Ki
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| ISBN |
9789811548185 |
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9811548188 |
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