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Advances in Image and Graphics Technologies : 12th Chinese conference, IGTA 2017, Beijing, China, June 30 – July 1, 2017, Revised Selected Papers / / edited by Yongtian Wang, Shengjin Wang, Yue Liu, Jian Yang, Xiaoru Yuan, Ran He, Henry Been-Lirn Duh
| Advances in Image and Graphics Technologies : 12th Chinese conference, IGTA 2017, Beijing, China, June 30 – July 1, 2017, Revised Selected Papers / / edited by Yongtian Wang, Shengjin Wang, Yue Liu, Jian Yang, Xiaoru Yuan, Ran He, Henry Been-Lirn Duh |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XI, 272 p. 154 illus.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Multimedia information systems |
| ISBN | 981-10-7389-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | SAR image registration using clustering analysis and anisotropic diffusion-based SIFT -- Palmprint Recognition with Deep Convolutional Features -- sosurface Algorithm Based on Generalized Three Prism -- A Novel Classifier Using Subspace Analyse for Face Recognition -- A Variational Model based on Total Generalized Variation for Multiplicative Noise Removal -- An Improved Superpixel Method for Color Image Segmentation Based on SEEDS -- Global Perception Feedback Convolutional Neural Networks -- Single Image Defogging based on Step Estimation of Transmissivity -- The Method of Crowd Density Alarm for Video Sequence -- A novel three-dimensional asymmetric reconstruction method o plasma -- Pose Measurement of Drogue via Monocular Vision for Autonomous Aerial Refueling -- Recognition of Group Activities Based on M-DTCWT and Elliptic Mahalanobis Metrics -- U3D File Format Analyzing and 3DPDF Generating Method -- Estimating Cumulus Cloud Shape from a Single Image -- Design of a Computer-Aided-Design System for Museum Exhibition Based on Virtual Reality -- Real-time salient object detection based on fully convolutional networks -- Boosting Multi-view Convolutional Neural Networks for 3D Object Recognition via View Saliency -- Spacecraft Component Detection in Point Clouds -- Research on 3D Modeling of Geological Interface Surface -- Image Segmentation via the Continuous Max-Flow Method Based on Chan-Vese Model -- Deep-Stacked Auto Encoder for Liver Segmentation -- A Flattened Maximally Stable Extremal Region Method for Scene Text Detection -- A Combinational De-noising Algorithm for Low-Dose Computed Tomography. |
| Record Nr. | UNINA-9910299300903321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image and graphics technologies and applications : 17th Chinese conference, IGTA 2022, Beijing, China, April 23-24, 2022 : revised selected papers / / edited by Yongtian Wang [and four others]
| Image and graphics technologies and applications : 17th Chinese conference, IGTA 2022, Beijing, China, April 23-24, 2022 : revised selected papers / / edited by Yongtian Wang [and four others] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (347 pages) |
| Disciplina | 006.66 |
| Collana | Communications in Computer and Information Science Ser. |
| Soggetto topico |
Computer graphics
Computer vision |
| ISBN | 981-19-5096-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996483160103316 |
| Gateway East, Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Image and Graphics Technologies and Applications : 17th Chinese Conference, IGTA 2022, Beijing, China, April 23–24, 2022, Revised Selected Papers / / edited by Yongtian Wang, Huimin Ma, Yuxin Peng, Yue Liu, Ran He
| Image and Graphics Technologies and Applications : 17th Chinese Conference, IGTA 2022, Beijing, China, April 23–24, 2022, Revised Selected Papers / / edited by Yongtian Wang, Huimin Ma, Yuxin Peng, Yue Liu, Ran He |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (347 pages) |
| Disciplina | 006.66 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer vision
Computer engineering Computer networks Artificial intelligence Pattern recognition systems Social sciences - Data processing Computer Vision Computer Engineering and Networks Artificial Intelligence Automated Pattern Recognition Computer Application in Social and Behavioral Sciences Processament digital d'imatges Infografia Visió per ordinador |
| Soggetto genere / forma |
Congressos
Llibres electrònics |
| ISBN | 981-19-5096-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image processing and enhancement techniques -- Multi-Resolution Parallel Aggregation Network for Single Image Deraining -- Multi-scale Bézier filter based infrared and visual image fusion -- Towards Neural Video Compression: A Rate Distortion Modeling Perspective -- A Fast Line and Ellipse Detection on High Resolution Images -- Quality Assurance and Verification of GFDM Satellite Imagery -- Machine vision and 3D reconstruction -- BSIHKS of 3D point cloud model and model matching: bi-temporal scaling invariant heat kernel signature -- A review of solutions to stereo correspondence challenges -- Low Overlapping Plant Point Cloud Registration and Splicing Method Based on FPFH -- Integration of Depth Normal Consistency and Depth Map Refinement for MVS Reconstruction -- Image/Video big data analysis and understanding -- Adaptive Registration for Multi-type Remote Sensing Images via Dynamic Feature Selection -- Deform-CAM: Self-Attention Based on Deformable Convolution for Weakly Supervised Semantic Segmentation -- Density-NMS: Cell Detection and Classification in Microscopy images -- Face Detection in Distorted Images Based onImage Restoration and Meta-learning -- Person Re-identification using Multi-branch Cooperative Network -- Cross-domain object detection through Image-Category features joint alignment -- Detection of abnormal crowd behavior based on ViBE and Optical flow methods -- Generating Lymphoma ultrasound image description with Transformer model -- Computer graphics -- Accelerated Photon Mapping for Homogeneous Participating Media Based on Octree -- Visualization and visual analysis -- A Survey of Literature Analysis Methods based on Representation Learning -- Applications of image and graphics -- A MobileNet SSDLite Model with Improved FPN for Forest Fire Detection -- Applications of Photogrammetry and Remote Sensing Technologies in Tianwen-1 Mission -- MRI Brain Tumor Classification Based on EfficientNet with Non-rigid Transformations -- Design and Implementation of a Digital Star Map Simulation Module -- Design and Implementation of The Search System Based on The Airborne Multi-mode Imaging Cloud Platform -- Method for Imaging Quality Evaluation of Onboard Camera of Image-guided Projectile -- Stroke Based Painting with 3D Perception. |
| Record Nr. | UNINA-9910585768603321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image and graphics technologies and applications : 16th Chinese conference on image and graphics technologies, IGTA 2021, Beijing, China, June 6-7, 2021, revised selected papers / / edited by Yongtian Wang and Weitao Song
| Image and graphics technologies and applications : 16th Chinese conference on image and graphics technologies, IGTA 2021, Beijing, China, June 6-7, 2021, revised selected papers / / edited by Yongtian Wang and Weitao Song |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 636.005 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Semantics |
| ISBN | 981-16-7189-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Image Processing and Enhancement Techniques -- Residual Multi-resolution Network for Hyperspectral Image Denoising -- 1 Introduction -- 2 Methodology -- 2.1 Network Architecture -- 2.2 Residual Multi-Resolution Block -- 3 Experimental Results and Analysis -- 3.1 Experimental Setup -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Skin Reflectance Reconstruction Based on the Polynomial Regression Model -- 1 Introduction -- 2 Related Work -- 2.1 Human Skin Spectral -- 2.2 Polynomial Regression Model -- 3 Algorithms -- 3.1 The Xiao's Algorithm -- 3.2 The Proposed Algorithm -- 3.3 Regularization -- 4 Experiment Setup -- 4.1 Evaluation Metrics -- 4.2 Experiment Data -- 5 Result and Discussion -- 6 Conclusion -- References -- From Deep Image Decomposition to Single Depth Image Super-Resolution -- 1 Introduction -- 2 The Proposed Method -- 2.1 Depth Dual Decomposition Block -- 2.2 Depth Image Initialization Block -- 2.3 Depth Image Rebuilding Block -- 2.4 Loss Function -- 3 Experimental Results -- 3.1 Training Details -- 3.2 The Objective Quality Comparison of Different Methods -- 3.3 The Visual Quality Comparison of Different Methods -- 4 Conclusion -- References -- Classification of Solar Radio Spectrum Based on VGG16 Transfer Learning -- 1 Introduction -- 2 VGG16 and Transfer Learning -- 2.1 VGG16 Convolutional Neural Network Model -- 2.2 Transfer Learning -- 3 Spectrum Image Preprocessing and Classification Algorithm -- 3.1 Preprocessing of Solar Radio Spectrum Data -- 3.2 VGG16 Transfer Learning Algorithm -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- A Channel Attention-Based Convolutional Neural Network for Intra Chroma Prediction of H.266 -- 1 Introduction -- 2 Proposed Method -- 2.1 Neighboring Block Information Extraction Module.
2.2 Current Block Information Extraction Module -- 2.3 Feature Fusion Module -- 3 Experiment Results -- 3.1 The Robustness Analysis of Chroma Prediction Performance -- 3.2 Coding Performance -- 4 Conclusion -- References -- Biometric Identification Techniques -- A Novel Deep Residual Attention Network for Face Mosaic Removal -- 1 Introduction -- 2 The Proposed Method -- 2.1 Parallel Residual Block -- 2.2 Channel Attention -- 2.3 Pixel Attention -- 3 Experimental Results -- 3.1 Experimental Settings -- 3.2 Quantitative and Qualitative Evaluation -- 4 Conclusion -- References -- Machine Vision and 3D Reconstruction -- Pretrained Self-supervised Material Reflectance Estimation Based on a Differentiable Image-Based Renderer -- 1 Introduction -- 2 Related Work -- 3 Self-supervised Architectures -- 4 Image-Based Differentiable Renderer -- 4.1 Normal Representation -- 4.2 Ambient Light Representation -- 4.3 Material Representation -- 5 Synthetic Dataset -- 6 Loss Functions -- 7 Experiments -- 8 Conclusion -- References -- Image/Video Big Data Analysis and Understanding -- Object-Aware Attention in Few-Shot Learning -- 1 Introduction -- 2 Related Work -- 2.1 Few-Shot Learning -- 2.2 Saliency Object Detection -- 3 Method -- 3.1 Preliminaries -- 3.2 Framework -- 3.3 Object-Aware Attention Module -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Models and Experiment Details -- 4.3 Experiment Result -- 5 Conclusion -- References -- Simultaneously Predicting Video Object Segmentation and Optical Flow Without Motion Annotations -- 1 Introduction -- 2 Methodology -- 2.1 Base Model -- 2.2 Object Flow Synthesizing -- 3 Network Implementation and Training -- 3.1 Offline Training -- 3.2 Online Training -- 4 Experimental Results -- 4.1 Dataset and Evaluation Metrics -- 4.2 Ablation Study on Video Object Segmentation -- 4.3 Segmentation Results -- 4.4 Object Flow. 4.5 Runtime Analysis -- 5 Concluding Remarks -- References -- Recognition of Bending Deformed Pipe Sections in Geological Disaster Area Based on an Ensemble Learning Model -- 1 Introduction -- 2 Feature Engineering -- 2.1 Typical Pipe Section -- 2.2 IMU Data Feature Construction -- 3 Ensemble Learning -- 3.1 Support Vector Machine -- 3.2 K-means Clustering -- 3.3 Ensemble Learning Based on Voting Method -- 3.4 Analysis of Results -- 4 Conclusion -- References -- Memory Bank Clustering for Self-supervised Contrastive Learning -- 1 Introduction -- 2 Related Work -- 2.1 Self Supervised Contrastive Learning -- 2.2 Memory Bank Based Method -- 3 Method -- 3.1 Contrastive Learning with Memory Bank Clustering -- 3.2 Training with Dynamic Memory Bank -- 3.3 Contrastive Loss with Dynamic Memory Bank -- 4 Experiment -- 4.1 Experiment Details -- 4.2 Experimental Results -- 5 Conclusion -- References -- Robust Visual Question Answering Based on Counterfactual Samples and Relationship Perception -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Counterfactual Sample Synthesis Mechanism for VQA -- 2.3 Relationship Perception in VQA -- 3 Method -- 3.1 Relationship Perception Network -- 3.2 Counterfactual Sample Generation Mechanism -- 3.3 Loss Functions -- 4 Experiment -- 4.1 Dataset -- 4.2 Parameter Setting -- 4.3 Performance on the VQA-CP v2 Dataset -- 4.4 Performance on the VQA V2 Dataset -- 4.5 Ablation Experiment of CSRP Model -- 5 Conclusion -- References -- Prototype Generation Based Shift Graph Convolutional Network for Semi-supervised Anomaly Detection -- 1 Introduction -- 2 Related Work -- 2.1 Video Anomaly Detection -- 2.2 Graph Convolutional Networks -- 2.3 Prototype Generation Module -- 3 Method -- 3.1 Architecture Overview -- 3.2 Feature Extraction Module -- 3.3 Prototype Generation Module -- 3.4 VAD Objective Functions. 4 Experiments -- 4.1 Experiments on ShanghaiTech -- 4.2 Ablation Study -- 5 Conclusion -- References -- Computer Graphics -- A New Image Super-Resolution Reconstruction Algorithm Based on Hybrid Diffusion Model -- 1 Introduction -- 2 Related Work -- 2.1 Characteristics of Fractional Differential Operators -- 2.2 Fractional Anisotropic Diffusion Model -- 3 Model Algorithm and Design -- 3.1 Proposal of Mixed Diffusion Model -- 3.2 Realization of Adaptive Diffusion Function -- 3.3 Numerical Calculation of the Algorithm -- 4 Experiment and Analysis -- 5 Conclusion -- References -- Research on Global Contrast Calculation Considering Color Differences -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Traditional Method of Global Contrast -- 3.2 Global Contrast Calculation Considering Color Differences -- 4 Experimental Results -- 5 Conclusion -- References -- Virtual Reality and Human-Computer Interaction -- Research on Key Technologies and Function Analysis of Live Interactive Classroom in AI+ Era -- 1 Introduction -- 2 Advantages and Disadvantages of Webcast Classroom -- 2.1 Advantages of Webcast Class -- 2.2 Disadvantages of Webcast Class -- 3 AI Plus Key Technology of Synchronous Live Broadcast in Class -- 3.1 Face Recognition Technology -- 3.2 Human Behavior and Expression Analysis -- 3.3 Natural Language Processing -- 3.4 Knowledge Graph and Expert Systems -- 4 The Main Functions of Open Education AI Live Class -- 4.1 Basic Framework of the Platform -- 4.2 Introduction of AI Live-Streaming Classroom Functions -- 5 Conclusion -- References -- Applications of Image and Graphics -- BrainSeg R-CNN for Brain Tumor Segmentation -- 1 Introduction -- 2 Method -- 2.1 Mask R-CNN -- 2.2 BrainSeg R-CNN -- 3 Experiments -- 3.1 Dataset and Settings -- 3.2 Compared Experiments Using Slices with Tumors -- 3.3 Compared Experiments Using Whole Brain Image. 4 Conclusion -- References -- A Real-Time Tracking Method for Satellite Video Based on Long-Term Tracking Framework -- 1 Introduction -- 2 Method Framework -- 2.1 Feature Extraction -- 2.2 Re-detection Mechanism -- 2.3 PCA Based Dimensionality Reduction -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Fourier Series Fitting of Space Object Orbit Data -- 1 Introduction -- 2 Related Works -- 2.1 TLE Orbit Data -- 2.2 Orbit Elements -- 3 Data Fitting -- 3.1 Commonly Used Fitting Algorithms -- 3.2 Fourier Series Fitting -- 4 Experiment and Analysis -- 4.1 Classification Selection of Experimental Samples -- 4.2 Data Pre-processing -- 4.3 Evaluation Criteria of Fitting Results -- 4.4 Data Fitting -- 4.5 Predicting Results -- 5 Conclusion -- References -- Mapping Methods in Teleoperation of the Mars Rover -- 1 Introduction -- 2 Mars Rover Teleoperation Control Mode -- 3 Multi-scale Mapping Mode Based on Multi-source Data -- 3.1 Large Area Mapping Using Orbit Images Based on the Two-Stage Method -- 3.2 Landing Site Mapping Using Descent Sequence Images -- 3.3 3D Terrain Reconstruction Based on Image Fusion -- 3.4 Wide Baseline Mapping Using Multi-site Images -- 4 Conclusions -- References -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- A Regularized Limited-Angle CT Reconstruction Model Based on Sparse Multi-level Information Groups of the Images -- 1 Introduction -- 2 Analysis of Group Sparsity Model -- 3 The Proposed Model -- 4 Algorithms -- 5 Numerical Experiments -- 6 Conclusions and Prospects -- References -- Author Index. |
| Record Nr. | UNISA-996464413603316 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Image and graphics technologies and applications : 16th Chinese conference on image and graphics technologies, IGTA 2021, Beijing, China, June 6-7, 2021, revised selected papers / / edited by Yongtian Wang and Weitao Song
| Image and graphics technologies and applications : 16th Chinese conference on image and graphics technologies, IGTA 2021, Beijing, China, June 6-7, 2021, revised selected papers / / edited by Yongtian Wang and Weitao Song |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 636.005 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Semantics |
| ISBN | 981-16-7189-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Image Processing and Enhancement Techniques -- Residual Multi-resolution Network for Hyperspectral Image Denoising -- 1 Introduction -- 2 Methodology -- 2.1 Network Architecture -- 2.2 Residual Multi-Resolution Block -- 3 Experimental Results and Analysis -- 3.1 Experimental Setup -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Skin Reflectance Reconstruction Based on the Polynomial Regression Model -- 1 Introduction -- 2 Related Work -- 2.1 Human Skin Spectral -- 2.2 Polynomial Regression Model -- 3 Algorithms -- 3.1 The Xiao's Algorithm -- 3.2 The Proposed Algorithm -- 3.3 Regularization -- 4 Experiment Setup -- 4.1 Evaluation Metrics -- 4.2 Experiment Data -- 5 Result and Discussion -- 6 Conclusion -- References -- From Deep Image Decomposition to Single Depth Image Super-Resolution -- 1 Introduction -- 2 The Proposed Method -- 2.1 Depth Dual Decomposition Block -- 2.2 Depth Image Initialization Block -- 2.3 Depth Image Rebuilding Block -- 2.4 Loss Function -- 3 Experimental Results -- 3.1 Training Details -- 3.2 The Objective Quality Comparison of Different Methods -- 3.3 The Visual Quality Comparison of Different Methods -- 4 Conclusion -- References -- Classification of Solar Radio Spectrum Based on VGG16 Transfer Learning -- 1 Introduction -- 2 VGG16 and Transfer Learning -- 2.1 VGG16 Convolutional Neural Network Model -- 2.2 Transfer Learning -- 3 Spectrum Image Preprocessing and Classification Algorithm -- 3.1 Preprocessing of Solar Radio Spectrum Data -- 3.2 VGG16 Transfer Learning Algorithm -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- A Channel Attention-Based Convolutional Neural Network for Intra Chroma Prediction of H.266 -- 1 Introduction -- 2 Proposed Method -- 2.1 Neighboring Block Information Extraction Module.
2.2 Current Block Information Extraction Module -- 2.3 Feature Fusion Module -- 3 Experiment Results -- 3.1 The Robustness Analysis of Chroma Prediction Performance -- 3.2 Coding Performance -- 4 Conclusion -- References -- Biometric Identification Techniques -- A Novel Deep Residual Attention Network for Face Mosaic Removal -- 1 Introduction -- 2 The Proposed Method -- 2.1 Parallel Residual Block -- 2.2 Channel Attention -- 2.3 Pixel Attention -- 3 Experimental Results -- 3.1 Experimental Settings -- 3.2 Quantitative and Qualitative Evaluation -- 4 Conclusion -- References -- Machine Vision and 3D Reconstruction -- Pretrained Self-supervised Material Reflectance Estimation Based on a Differentiable Image-Based Renderer -- 1 Introduction -- 2 Related Work -- 3 Self-supervised Architectures -- 4 Image-Based Differentiable Renderer -- 4.1 Normal Representation -- 4.2 Ambient Light Representation -- 4.3 Material Representation -- 5 Synthetic Dataset -- 6 Loss Functions -- 7 Experiments -- 8 Conclusion -- References -- Image/Video Big Data Analysis and Understanding -- Object-Aware Attention in Few-Shot Learning -- 1 Introduction -- 2 Related Work -- 2.1 Few-Shot Learning -- 2.2 Saliency Object Detection -- 3 Method -- 3.1 Preliminaries -- 3.2 Framework -- 3.3 Object-Aware Attention Module -- 4 Experiments -- 4.1 Datasets -- 4.2 Baseline Models and Experiment Details -- 4.3 Experiment Result -- 5 Conclusion -- References -- Simultaneously Predicting Video Object Segmentation and Optical Flow Without Motion Annotations -- 1 Introduction -- 2 Methodology -- 2.1 Base Model -- 2.2 Object Flow Synthesizing -- 3 Network Implementation and Training -- 3.1 Offline Training -- 3.2 Online Training -- 4 Experimental Results -- 4.1 Dataset and Evaluation Metrics -- 4.2 Ablation Study on Video Object Segmentation -- 4.3 Segmentation Results -- 4.4 Object Flow. 4.5 Runtime Analysis -- 5 Concluding Remarks -- References -- Recognition of Bending Deformed Pipe Sections in Geological Disaster Area Based on an Ensemble Learning Model -- 1 Introduction -- 2 Feature Engineering -- 2.1 Typical Pipe Section -- 2.2 IMU Data Feature Construction -- 3 Ensemble Learning -- 3.1 Support Vector Machine -- 3.2 K-means Clustering -- 3.3 Ensemble Learning Based on Voting Method -- 3.4 Analysis of Results -- 4 Conclusion -- References -- Memory Bank Clustering for Self-supervised Contrastive Learning -- 1 Introduction -- 2 Related Work -- 2.1 Self Supervised Contrastive Learning -- 2.2 Memory Bank Based Method -- 3 Method -- 3.1 Contrastive Learning with Memory Bank Clustering -- 3.2 Training with Dynamic Memory Bank -- 3.3 Contrastive Loss with Dynamic Memory Bank -- 4 Experiment -- 4.1 Experiment Details -- 4.2 Experimental Results -- 5 Conclusion -- References -- Robust Visual Question Answering Based on Counterfactual Samples and Relationship Perception -- 1 Introduction -- 2 Related Work -- 2.1 Visual Question Answering -- 2.2 Counterfactual Sample Synthesis Mechanism for VQA -- 2.3 Relationship Perception in VQA -- 3 Method -- 3.1 Relationship Perception Network -- 3.2 Counterfactual Sample Generation Mechanism -- 3.3 Loss Functions -- 4 Experiment -- 4.1 Dataset -- 4.2 Parameter Setting -- 4.3 Performance on the VQA-CP v2 Dataset -- 4.4 Performance on the VQA V2 Dataset -- 4.5 Ablation Experiment of CSRP Model -- 5 Conclusion -- References -- Prototype Generation Based Shift Graph Convolutional Network for Semi-supervised Anomaly Detection -- 1 Introduction -- 2 Related Work -- 2.1 Video Anomaly Detection -- 2.2 Graph Convolutional Networks -- 2.3 Prototype Generation Module -- 3 Method -- 3.1 Architecture Overview -- 3.2 Feature Extraction Module -- 3.3 Prototype Generation Module -- 3.4 VAD Objective Functions. 4 Experiments -- 4.1 Experiments on ShanghaiTech -- 4.2 Ablation Study -- 5 Conclusion -- References -- Computer Graphics -- A New Image Super-Resolution Reconstruction Algorithm Based on Hybrid Diffusion Model -- 1 Introduction -- 2 Related Work -- 2.1 Characteristics of Fractional Differential Operators -- 2.2 Fractional Anisotropic Diffusion Model -- 3 Model Algorithm and Design -- 3.1 Proposal of Mixed Diffusion Model -- 3.2 Realization of Adaptive Diffusion Function -- 3.3 Numerical Calculation of the Algorithm -- 4 Experiment and Analysis -- 5 Conclusion -- References -- Research on Global Contrast Calculation Considering Color Differences -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Traditional Method of Global Contrast -- 3.2 Global Contrast Calculation Considering Color Differences -- 4 Experimental Results -- 5 Conclusion -- References -- Virtual Reality and Human-Computer Interaction -- Research on Key Technologies and Function Analysis of Live Interactive Classroom in AI+ Era -- 1 Introduction -- 2 Advantages and Disadvantages of Webcast Classroom -- 2.1 Advantages of Webcast Class -- 2.2 Disadvantages of Webcast Class -- 3 AI Plus Key Technology of Synchronous Live Broadcast in Class -- 3.1 Face Recognition Technology -- 3.2 Human Behavior and Expression Analysis -- 3.3 Natural Language Processing -- 3.4 Knowledge Graph and Expert Systems -- 4 The Main Functions of Open Education AI Live Class -- 4.1 Basic Framework of the Platform -- 4.2 Introduction of AI Live-Streaming Classroom Functions -- 5 Conclusion -- References -- Applications of Image and Graphics -- BrainSeg R-CNN for Brain Tumor Segmentation -- 1 Introduction -- 2 Method -- 2.1 Mask R-CNN -- 2.2 BrainSeg R-CNN -- 3 Experiments -- 3.1 Dataset and Settings -- 3.2 Compared Experiments Using Slices with Tumors -- 3.3 Compared Experiments Using Whole Brain Image. 4 Conclusion -- References -- A Real-Time Tracking Method for Satellite Video Based on Long-Term Tracking Framework -- 1 Introduction -- 2 Method Framework -- 2.1 Feature Extraction -- 2.2 Re-detection Mechanism -- 2.3 PCA Based Dimensionality Reduction -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- Fourier Series Fitting of Space Object Orbit Data -- 1 Introduction -- 2 Related Works -- 2.1 TLE Orbit Data -- 2.2 Orbit Elements -- 3 Data Fitting -- 3.1 Commonly Used Fitting Algorithms -- 3.2 Fourier Series Fitting -- 4 Experiment and Analysis -- 4.1 Classification Selection of Experimental Samples -- 4.2 Data Pre-processing -- 4.3 Evaluation Criteria of Fitting Results -- 4.4 Data Fitting -- 4.5 Predicting Results -- 5 Conclusion -- References -- Mapping Methods in Teleoperation of the Mars Rover -- 1 Introduction -- 2 Mars Rover Teleoperation Control Mode -- 3 Multi-scale Mapping Mode Based on Multi-source Data -- 3.1 Large Area Mapping Using Orbit Images Based on the Two-Stage Method -- 3.2 Landing Site Mapping Using Descent Sequence Images -- 3.3 3D Terrain Reconstruction Based on Image Fusion -- 3.4 Wide Baseline Mapping Using Multi-site Images -- 4 Conclusions -- References -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- A Regularized Limited-Angle CT Reconstruction Model Based on Sparse Multi-level Information Groups of the Images -- 1 Introduction -- 2 Analysis of Group Sparsity Model -- 3 The Proposed Model -- 4 Algorithms -- 5 Numerical Experiments -- 6 Conclusions and Prospects -- References -- Author Index. |
| Record Nr. | UNINA-9910508447703321 |
| Singapore : , : Springer, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors)
| Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XIII, 326 p. 179 illus., 116 illus. in color.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Image processing - Digital techniques |
| ISBN | 981-336-033-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing and Enhancement Techniques -- Single Image Super-resolution Based on Generative Adversarial Networks -- A Striping Removal Method Based on Spectral Correlation in MODIS Data -- Multi-Modal 3-D Medical Image Fusion Based on Tensor Robust Principal Component Analysis -- Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm -- Biometric Identification Techniques -- Graph Embedding Discriminant Analysis and Semi-supervised Extension for Face Recognition -- Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation -- Machine Vision and 3D Reconstruction -- 3D Human Reconstruction from a Single Image -- Image/Video Big Data Analysis and Understanding -- Abnormal Crowd Behavior Detection based on Movement Trajectory -- Full Convolutional Color Constancy with Attention -- Simplifying Sketches with Conditional GAN -- Improved Method of Target Tracking Based on SiamRPN -- An Improved Target Tracking Method Based on DIMP -- Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion -- Target Recognition Framework and Learning Mode based on Parallel Images -- Crowd Anomaly Scattering Detection based on Motion.rar -- Computer Graphics -- View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders -- An Angle-based Smoothing Method for Triangular and Tetrahedral Meshes -- Virtual Reality and Human-Computer Interaction -- Rendering Method for Light-field Near-eye Displays Based on Micro-structures with Arbitrary Distribution -- AUIF: an Adaptive User Interface Framework for Multiple Devices -- Applications of Image and Graphics -- Control and On-board Calibration Method for In-situ Detection Using the Visible and Near-Infrared Imaging Spectrometer on the Yutu-2 Rover -- Deep Attention Network for Remote Sensing Scene Classification -- Thin Cloud Removal Using Cirrus Spectral Property for Remote Sensing Images -- A Multi-line Image Difference Technique to Background Suppression Based on Geometric Jitter Correction -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- Image Recognition Method of Defective Button Battery Base on Improved MobileNetV1. |
| Record Nr. | UNINA-9910447241603321 |
| Gateway East, Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors)
| Image and graphics technologies and applications : 15th Chinese conference, IGTA 2020, Beijing, China, September 19, 2020, revised selected papers / / Yongtian Wang, Xueming Li, Yuxin Peng (editors) |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Gateway East, Singapore : , : Springer, , [2020] |
| Descrizione fisica | 1 online resource (XIII, 326 p. 179 illus., 116 illus. in color.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico | Image processing - Digital techniques |
| ISBN | 981-336-033-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image Processing and Enhancement Techniques -- Single Image Super-resolution Based on Generative Adversarial Networks -- A Striping Removal Method Based on Spectral Correlation in MODIS Data -- Multi-Modal 3-D Medical Image Fusion Based on Tensor Robust Principal Component Analysis -- Accurate Estimation of Motion Blur Kernel based on Genetic Algorithm -- Biometric Identification Techniques -- Graph Embedding Discriminant Analysis and Semi-supervised Extension for Face Recognition -- Fast and Accurate Face Alignment Algorithm Based on Deep Knowledge Distillation -- Machine Vision and 3D Reconstruction -- 3D Human Reconstruction from a Single Image -- Image/Video Big Data Analysis and Understanding -- Abnormal Crowd Behavior Detection based on Movement Trajectory -- Full Convolutional Color Constancy with Attention -- Simplifying Sketches with Conditional GAN -- Improved Method of Target Tracking Based on SiamRPN -- An Improved Target Tracking Method Based on DIMP -- Infrared Small Target Recognition with Improved Particle Filtering Based on Feature Fusion -- Target Recognition Framework and Learning Mode based on Parallel Images -- Crowd Anomaly Scattering Detection based on Motion.rar -- Computer Graphics -- View Consistent 3D Face Reconstruction Using Siamese Encoder-Decoders -- An Angle-based Smoothing Method for Triangular and Tetrahedral Meshes -- Virtual Reality and Human-Computer Interaction -- Rendering Method for Light-field Near-eye Displays Based on Micro-structures with Arbitrary Distribution -- AUIF: an Adaptive User Interface Framework for Multiple Devices -- Applications of Image and Graphics -- Control and On-board Calibration Method for In-situ Detection Using the Visible and Near-Infrared Imaging Spectrometer on the Yutu-2 Rover -- Deep Attention Network for Remote Sensing Scene Classification -- Thin Cloud Removal Using Cirrus Spectral Property for Remote Sensing Images -- A Multi-line Image Difference Technique to Background Suppression Based on Geometric Jitter Correction -- Other Research Works and Surveys Related to the Applications of Image and Graphics Technology -- Image Recognition Method of Defective Button Battery Base on Improved MobileNetV1. |
| Record Nr. | UNISA-996465357003316 |
| Gateway East, Singapore : , : Springer, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Image and Graphics Technologies and Applications : 14th Conference on Image and Graphics Technologies and Applications, IGTA 2019, Beijing, China, April 19–20, 2019, Revised Selected Papers / / edited by Yongtian Wang, Qingmin Huang, Yuxin Peng
| Image and Graphics Technologies and Applications : 14th Conference on Image and Graphics Technologies and Applications, IGTA 2019, Beijing, China, April 19–20, 2019, Revised Selected Papers / / edited by Yongtian Wang, Qingmin Huang, Yuxin Peng |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (741 pages) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Optical data processing
Artificial intelligence Computer graphics Image Processing and Computer Vision Artificial Intelligence Computer Graphics |
| ISBN | 981-13-9917-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Human fungal infection image classification based on convolutional neural network -- Improved RPN for Single Target Detection -- Based on Anchor Mask Net -- Design and Analysis of Object Behavior in Media Content-User Relationship Network Model -- A method of penicillin bottle defect inspection based on BP neural network -- An End-to-End Pyramid Convolutional Neural Network for Dehazing -- Dynamic Community Detection and Evolution Analysis -- Obeject Detection and Segmentation Method for Multi-category Armored Targets Based on CNN -- Inter-frame relationship graph Based Near-Duplicate Video Clip Detection Method -- The high speed 3D measurement based on interval line structured light method for translucent objects -- Pixel and Channel Attention Network for Person Re-Identification -- Infrared and Visible Image Matching Algorithm Based on SIFT and LDB -- The Overview of 2D to 3D Automatic Conversion -- Sugarcane Node Identification Based on Structured Learning Model -- 3D Human Pose Estimation with Grouping Regression -- Vascular Model Editing for 3D Printing Based on Implicit Functions -- Design and Implementation of Hardware Accelerator for Gaussian Filter Based on HLS -- Fusion of global and local Gaussian-Hermite moments for face recognition -- A visual-inertial information fusion method for SLAM front-end odometry -- A Multiscale Image Denoising Algorithm Based on Dilated Residual Convolution Network -- Model-driven Dynamic Visualization of Spatiotemporal Data in GIS -- DCNN Transfer learning and Multi-Model Integration for Disease and Weed Identification -- 3D Human Pose Lifting: from Joint Position to Joint Rotation -- Estimation of 6Dof Pose using Image Mask and Bounding Box -- Multi-Attention Network for 2D Face Alignment in the Wild -- Virtual-Real Fusion Processing Based on Parallel Distribution -- Exploring a Facial Defect Skin Detection Algorithm with Probability Distribution Model -- Universal Framework of Seals Erasing with Generative Adversarial Network -- Pupil segmentation method based on treasure theory -- Object Recognition and Localization Base on Binocular Vision -- Effects of dynamic disparity on visual fatigue caused by watching 2D videos in HMDs -- Detection of Small Moving Targets in Videos Using Skew Normal Mixture Model -- Spectral Pooling based CNN Model Compression for Light Field Depth-estimation -- 3D Surface Splicing Based on Principal Component Feature Extraction -- An Automatic White Balance Algorithm Based on Pixel Luminance and Chromaticity -- Attention-based GAN for Single Image Super-Resolution -- Tiny Vehicle Detection from UAV imagery -- SGM-based disparity estimation under radiometric variations -- A Survey of Chinese character style transfer -- Deep Multi-resolution Feature Fusion Network based 3D Object Recognition -- Construction of Game-based Teaching Environment for Animation Scene Scheduling Based on Virtual Reality -- An Improved Dark Object Subtraction Method for Atmospheric Correction of Remote Sensing Images -- The Influence of Mobile Augmented Reality-Based Sandbox Games on Chinese characters Learning -- Impact of Teaching Aids Based on Virtual Role on Student's Design Thinking for Animation Course -- Classification of Imagined Digits via Brain-Computer Interface based on Electroencephalogram -- Plant Identification Based on Multi-branch Convolutional Neural Network with Attention -- Verification Learning for Robust Visual Object Tracking -- Convolutional Randomized Binary Features for Keypoints Recognition -- A novel multi-image encryption algorithm based on the RDFrMT and cascaded phase retrieval -- Analysis of Influence of the spectral channels of AWG on The Imaging Quality of Planar Interferometric Imaging System -- Remote Sensing Image Change Detection Algorithm Based on BM3D and PCANet -- Long-Tailed Contrastive Loss for Video-based Person Re-identification -- A Novel Image Super-Resolution Method Based on Cross Classification Trees and Cascaded Network -- Diagnostic Classification of Pulmonary Nodules Using a Multi-Scale and Multi-Input DenseNet -- SAR Ship Detection under Complex Background Based on Attention Mechanism -- A Beam Adjustment Algorithm Based on Star-sensor Geometric Imaging Link Model with Distance Constraint -- Dynamic Load Balancing Algorithm based on Per-pixel Rendering Cost Estimation for Parallel Ray Tracing on PC Clusters -- Research on Warehouse Object Detection Algorithm Based on Fused DenseNet and SSD -- Study on 3D Modeling of Complex Coal Mine Interface -- Enhanced Subtraction Image Guided Convolutional Neural Network for Coronary Artery Segmentation -- Visual Tracking Based on Multi-Cue Proposals and Long Short-Term Features Learning -- MMRPet: Modular Mixed Reality Pet System Based on Passive Props -- ReFall: Real-Time Fall Detection of Continuous Depth Maps with RFD-Net -- An Optimization Method for Large Format Multi-projector Displays -- An Optimization Method for Large Format Multi-projector Displays -- Study on Electromagnetic Visualization Experiment System Based on Augmented Reality -- Research on Battle Damage Analysis Methods Based on Collaborative Simulation for Armored Equipment. |
| Record Nr. | UNINA-9910350217503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Image and Graphics Technologies and Applications : 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018, Beijing, China, April 8–10, 2018, Revised Selected Papers / / edited by Yongtian Wang, Zhiguo Jiang, Yuxin Peng
| Image and Graphics Technologies and Applications : 13th Conference on Image and Graphics Technologies and Applications, IGTA 2018, Beijing, China, April 8–10, 2018, Revised Selected Papers / / edited by Yongtian Wang, Zhiguo Jiang, Yuxin Peng |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XVI, 659 p. 369 illus.) |
| Disciplina | 621.367 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer vision
Artificial intelligence User interfaces (Computer systems) Human-computer interaction Education - Data processing Computer Vision Artificial Intelligence User Interfaces and Human Computer Interaction Computers and Education |
| ISBN |
981-13-1702-X
978-981-13-1702-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Image processing technology -- Image analysis and understanding -- Computer vision and pattern recognition -- Big data mining -- Computer graphics and VR -- Image technology applications. |
| Record Nr. | UNINA-9910299303303321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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