Computer Analysis of Images and Patterns
Springer International Publishing (Verlag)
978-3-031-44239-1 (ISBN)
The 54 full papers presented were carefully reviewed and selected from 67 submissions. They were organized in the following section as follows:
Part I: PAR Contest 2023; Deep Learning; Machine Learning for Image and Pattern Analysis; and Object Recognition and Segmentation.
Part II : Biometrics- Human Pose Estimation- Action Recognition; Biomedical Image and Pattern Analysis; and General Vision- AI Applications.
Biometrics - Human Pose Estimation - Action Recognition.- A Systematic Approach for Automated Lecture Style Evaluation Using Biometric Features.- Highly crowd detection and counting based on curriculum learning.- Race Bias Analysis of Bona Fide Errors in Face Anti-spoofing.- Fall detection with event-based data: A case study.- Towards Accurate and Efficient Sleep Period Detection using Wearable Devices.- RLSTM: A Novel Residual and Recurrent Network for Pedestrian Action Classification.- Biomedical Image and Pattern Analysis.- Temporal Sequences of EEG Covariance Matrices for Automated Sleep Stage Scoring with Attention Mechanisms.- Complete AI-based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-Management.- COFI - Coarse-semantic to fine-instance unsupervised mitochondria segmentation in EM.- Empirical study of attention-based models for automatic classification of gastrointestinal endoscopy images.- Classification of Breast Micro-Calcifications as Benign or Malignant using Subtraction of Temporally Sequential Digital Mammograms and Machine Learning.- Fourier Descriptor Loss and Polar Coordinate Transformation for Pericardium Segmentation.- Stroke Risk Stratification Using Transfer Learning on Carotid Ultrasound Images.- Comparative Study of Explainable AI models in the assessment of Multiple Sclerosis.- General Vision - AI Applications.- Biometric Recognition of African Clawed Frogs.- Teacher-Student synergetic knowledge distillation for detecting alcohol consumption in NIR iris Images.- Performance Assessment of Fine-tuned Barrier Recognition Models in Varying Conditions.- Keyrtual: A Lightweight Virtual Musical Keyboard based on RGB-D and Sensors Fusion.- Classification of Honey Pollens with ImageNet Neural Networks.- Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent Space.- Unsupervised Representation Learning in Partially Observable Atari Games.- Structural Analysis of the Additive Noise Impact on the -tree.- Augmented Reality for indoor localization and navigation: the case of UNIPI AR Experience.- A Benchmark and Investigation of Deep-Learning-Based Techniques for Detecting Natural Disasters in Aerial Images.- Perceptual Light Field Image Coding with CTU Level Bit Allocation.- Comparative Performance Assessment of Different Video Codecs.
Erscheinungsdatum | 21.09.2023 |
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Reihe/Serie | Lecture Notes in Computer Science |
Zusatzinfo | XXIII, 279 p. 97 illus., 89 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 468 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | Artificial Intelligence • face recognition • image matching • image reconstruction • Neural networks |
ISBN-10 | 3-031-44239-3 / 3031442393 |
ISBN-13 | 978-3-031-44239-1 / 9783031442391 |
Zustand | Neuware |
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