Advanced Concepts for Intelligent Vision Systems : 22nd International Conference, ACIVS 2025, Tokyo, Japan, July 28–30, 2025, Proceedings / / edited by Jacques Blanc-Talon, Patrice Delmas, Hiroki Takahashi, Minami Yasuhiro

• Record Nr.: UNINA9911114261003321
• Autore: Blanc-Talon Jacques
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026
• ISBN: 3-032-07343-X; 9783032073433
• Edizione: [1st ed. 2026.]
• Descrizione fisica: 1 online resource (982 pages)
• Collana: Lecture Notes in Computer Science, , 1611-3349 ; ; 15656
• Altri autori (Persone): DelmasPatrice; TakahashiHiroki; YasuhiroMinami
• Disciplina: 006.37
• Soggetti: Computer vision; Biometric identification; Image processing; Robotics; Computer Vision; Biometrics; Image Processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di contenuto: -- Security, Encryption. -- Legibility vs. Extractability: Crafting Visual Defenses Against Automated OCR. -- Secure Image Transmission in IoT Network Using Chaotic / Neural Network- Predictive S-Boxes for ASCON Lightweight Cryptography. -- Dynamic Chaotic-ASCON Encryption: ECG Security in Resource Constrained IoT. -- Beyond Face Blurring: Privacy-Preserving Surveillance via Homomorphic Encryption and Encrypted Facial Representations. -- Advancing Cybersecurity with Liquid Neural Networks: Robustness and Efficiency in IDS. -- Surveillance and Biometry. -- Gait Recognition via Pristine Feature Learning. -- FCR-PoseHRNet: Flexible Feature Realignment and Cross-Resolution Coordinate Refinement in PoseHRNet for 2D Human Pose ; Estimation. -- CymruFluency - A fusion technique and a 4D Welsh dataset for Welsh fluency analysis. -- Keypoint-Integrated Instruction-Following Data Generation for Enhanced Human Pose and Action Understanding in Multimodal Models. -- Privacy aware Human-Object Interaction in the wild - Novel dataset. -- Improving Face Image Retrieval in Historical Archives: Fusion of Mirrored Images and Better Consensus Ranking. -- DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images. -- SAViL-Det: Semantic-Aware Vision-Language Model for Multi-Script Text Detection. -- Unmasking Performance Gaps: A Comparative Study of Human Anonymization and Its Effects on Video Anomaly Detection. -- SV-GaSRelight: Single-View Gaussian Splatting for 3D Human Relighting. -- Context-Aware Vision Language Model for Action Recognition. -- Deep Isoline Attack for Imperceptible Adversarial Perturbation on Face Recognition Systems. -- Detecting StyleGAN-Generated Deepfake Faces with Vision Transformers and Latent Attention. -- Computer Vision and Machine Learning. -- SinoDAM : A Volumetric Sinogram-Based Methodology for Realistic Dataset Augmentation in Additive Manufacturing. -- Active Deep Clustering: Exploratory Analysis to Assist in Decision-Making on Incremental Label Morphing Datasets. -- ICE-Cubed: Inpainting of Cinematographic Elements for Intelligent Context Expansion. -- Scoring-based Copy-Paste for Augmenting Crowded Pedestrian. -- Contrastive Learning through Auxiliary Branch for Video Object Detection. -- Pretraining Techniques for Ra Prediction with Long Thin Spatial Industrial Data. -- Visualizing the Lifespan of Industrial Objects with AI-Generated Texture Space. -- SelCLR: Self-labeling with Contrastive Learning and Applications in Machine Vision Systems. -- Pointy – A Lightweight Transformer for Point Cloud Foundation Models. -- On-Device Continual Adaptation for Reliable Solar Irradiance Forecasting. -- RowFormer: Multiple Class-Token-based Vision Transformer for 2D Context-Aware Attention. -- Automatic and Interactive Annotation of Non-Manual and Spatial Features in Pidgin Sign Japanese for SLR. -- UNETRSal: Saliency Prediction with Hybrid Transformer-Based Architecture. -- SABSE: Segmentation-Assisted Baseline Shapley Values. -- Remote Sensing, Natural Areas Monitoring. -- Correction of the Jitter Effect in Pl´eiades Satellite Elevation Data for Enhanced 3D Change Monitoring. -- Satellite image segmentation for landcover mapping using atrous spatial pyramid pooling and lightweight attention mechanism. -- Zero-Shot Seafloor Sediment Microtopography Characterization Using Stereo from a Drifting Monocular Camera. -- LOS Ground Displacement Monitoring in Northeast Tunisia Using SBAS InSAR. -- Oceans and algorithms: building successful collaborations in marine science and computer vision. -- Weakly Supervised Blue-Carbon Mapping of R¯ahui Reefs with SAM-Bootstrapped nnU-Net. -- Medical Imaging. -- Application of Conditional Neural Movement Primitive (CNMP) for Movement Decoding Using Brain Signals. -- Unsupervised Multi-Class Glioma Segmentation in 3D MRI Using Adaptive Thresholding and Hierarchical Clustering. -- RGC-TinyUNet++: Dual-Stage Segmentation for Accurate Early Detection of Mammary Microcalcifications. -- Mammography Lexicon-based Explainable Artificial Intelligence for Diagnosis and Visual Interpretation of Breast Cancer. -- Sports Analytics. -- Analysis of Long-term Player Action Prediction Performance Based on Causal Modelling in Rugby League. -- Beyond Pixels: Leveraging the Language of Soccer to Improve Spatio-Temporal Action Detection in Broadcast Videos. -- Dance Style Recognition Using Laban Movement Analysis. -- Selective Multiple Reference Frame ; Approach for VVC Standard. -- Robotics and Drones. -- Robust Road Surface Normal and Pitch Prediction via IMU-Camera Fusion. -- Towards Optimizing Swarm Drone Delivery in RF-Denied Environments. -- Task-oriented Robotic Manipulation with Vision Language Models. -- KENDALL-ROFT: Kendall’s shape analysis with Rigid transformation and Optical Flow for Transformation-based micro-expression recognition. -- Extended Reality-Driven Testbed for Innovative Remote Drone Operations in Disaster Scenarios.
• Sommario/riassunto: This book constitutes the proceedings of the 22nd International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2025, held in Tokyo, Japan, during July 2025. The 51 papers included in the proceedings were carefully reviewed and selected from 92 submissions. They were organized in topical sections as follows: Security and encryption; surveillance and biometry; computer vision and machine learning; remote sensing and natural areas monitoring; medical imaging; sports analytics; and robotics and drones. .

Moving objects databases / / Ralf Hartmut Guting and Markus Schneider

• Record Nr.: UNINA9911139742803321
• Autore: Güting Ralf Hartmut <1955->
• Pubbl/distr/stampa: San Francisco, Calif. ; ; London, : Morgan Kaufmann, c2005
• ISBN: 1-280-96123-6; 9786610961238; 0-08-047075-0
• Edizione: [1st edition]
• Descrizione fisica: 1 online resource (413 p.)
• Collana: Morgan Kaufmann series in data management systems
• Altri autori (Persone): SchneiderMarkus
• Disciplina: 005.74
• Soggetti: Computer animation; Computer simulation; Database management; Space and time - Data processing; Visualization - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; front cover; copyright; table of contents; front matter; Foreword; Preface; body; 1. Introduction; 1.1 Database Management Systems; 1.2 Spatial Databases; 1.3 Temporal Databases; 1.4 Moving Objects; 1.5 Further Exercises; 1.6 Bibliographic Notes; 2. Spatio-Temporal Databased in the Past; 2.1 Spatio-Bitemporal Objects; 2.2 An Event-Based Approach; 2.3 Further Exercises; 2.4 Bibliographic Notes; 3. Modeling and Querying Current Movement; 3.1 Location Management; 3.2 MOST- A Data Model for Current and Future Movement; 3.3 FTL-A Query Language Based on Future Temporal Logic; 3.4 Location Updates- Balancing Update Cost and Imprecision 3.5 The Uncertainty of the Trajectory of a Moving Object; 3.6 Further Exercises; 3.7 Bibliographic Notes; 4. Modeling and Querying History of Movement; 4.1 An Approach Based on Abstract Data Types; 4.2 An Abstract Model; 4.3 A Discrete Model; 4.4 Spatio-Temporal Predicates and Developments; 4.5 Further Exercises; 4.6 Bibliographic Notes; 5. Data Structures and Algorithms for Moving Objects Types; 5.1 Data Structures; 5.2 Algorithms for Operations on Temporal Data Types; 5.3 Algorithms for Lifted Operations; 5.4 Further Exercises; 5.5 Bibliographic Notes 6. The Constraint Database Approach; 6.1 An Abstract Model: Infinite Relations; 6.2 A Discrete Model: Constraint Relations; 6.3 Implementation of the Constraint Model; 6.4 Further Exercises; 6.5 Bibliographic Notes; 7. Spatio-Temporal Indexing; 7.1 Geometric Preliminaries; 7.2 Requirements for Indexing Moving Objects; 7.3 Indexing Current and Near-Future Movement; 7.4 Indexing Trajectories (History of Movement); 7.5 Further Exercises; 7.6 Bibliographic Notes; 8. Outlook; 81. Data Capture; 8.2 Generating Text Data; 8.3 Movement in Networks; 8.4 Query Processing for Continuous/Location-Based Queries 8.5 Aggregation and Selectivity Estimation; Solutions to Exercises in the Text; Chapter 1; Chapter 2; Chapter 3; Chapter 4; Chapter 5; Chapter 6; Chapter 7; back matter; Bibliography; Citation Index; Index; About the Authors
• Sommario/riassunto: The current trends in consumer electronics--including the use of GPS-equipped PDAs, phones, and vehicles, as well as the RFID-tag tracking and sensor networks--require the database support of a specific flavor of spatio-temporal databases. These we call Moving Objects Databases. Why do you need this book? With current systems, most data management professionals are not able to smoothly integrate spatio-temporal data from moving objects, making data from, say, the path of a hurricane very difficult to model, design, and query. Whether your field is geology, national security, urban