Frontiers of computer vision 26th International Workshop, IW-FCV 2020, Ibusuki, Kagoshima, Japan, February 20-22, 2020, Revised Selected Papers /: 26th International Workshop, IW-FCV 2020, Ibusuki, Kagoshima, Japan, February 20-22, 2020, Revised Selected Papers. (2020)

• Record Type: Book
• Other Titles: IW-FCV 2020
• Further Information: Note: Wataru Ohyama, Soon Ki Jung (eds.).
• Other Names: Ohyama, Wataru; Jung, Soon Ki; International Workshop on Frontiers of Computer Vision, 26th
• 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 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 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 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
• Publisher Details: Singapore : Springer
• Publication Date: 2020
• Extent: 1 online resource (383 p.)
• Subjects: 006.3; Computer vision -- Congresses; Computer vision; Electronic books; Electronic books; Conference papers and proceedings
• Languages: English
• ISBNs: 9789811548185; 9811548188
• Related ISBNs: 9789811548178
• Notes: Note: 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
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