New Trends in Image Analysis and Processing – ICIAP 2017 ICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Catania, Italy, September 11-15, 2017, Revised Selected Papers /

This book constitutes the refereed proceedings of seven workshops held at the 19th International Conference on Image Analysis and Processing, ICIAP 2017, in Catania, Italy, in September 2017: First International Workshop on Brain-Inspired Computer Vision – WBICV 2017; Social Signal Processing and Be...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Battiato, Sebastiano (Επιμελητής έκδοσης), Farinella, Giovanni Maria (Επιμελητής έκδοσης), Leo, Marco (Επιμελητής έκδοσης), Gallo, Giovanni (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Σειρά:Lecture Notes in Computer Science, 10590
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • A New Objective Supervised Edge Detection Assessment using Hysteresis Thresholds
  • Learning Motion from Temporal Coincidences
  • The Fusion of Optical and Orientation Information in a Markovian Framework for 3D Object Retrieval
  • Modelling of the Poggendorff Illusion via Sub-Riemannian Geodesics in the Roto-Translation Group
  • High-Pass Learning Machine: An Edge Detection Approach
  • Adaptive Motion Pooling and Diffusion for Optical Flow Computation
  • Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences
  • Indirect Match Highlights Detection with Deep Convolutional Neural Networks
  • Signal Processing and Machine Learning for Diplegia Classification
  • Analyzing First-Person Stories Based on Socializing, Eating and Sedentary Patterns
  • Serious Games Application for Memory Training Using Egocentric Images
  • Implicit vs Explicit Human Feedback for Interactive Video Object Segmentation
  • Don't turn off the lights: Modelling of human light interaction in indoor environments
  • An affective BCI driven by self-induced emotions for people with severe neurological disorders
  • Face Tracking and Respiratory Signal Analysis for the Detection of Sleep Apnea in Thermal Infrared Videos with Head Movement
  • MOOGA Parameter Optimization for Onset Detection in EMG Signals
  • A note on modelling a somatic motor space for affective facial expressions
  • Taking the hidden route: deep mapping of affect via 3D neural networks
  • Neonatal Facial Pain Assessment Combining
  • Hand-crafted and Deep Features
  • People Detection and Tracking from an RGB-D Camera in Top-View Configuration: Review of Challenges and Applications
  • A Benchmarking Framework for Background Subtraction in RGBD videos
  • Moving Object Detection on RGB-D Videos Using Graph Regularized Spatiotemporal RPCA
  • CwisarDH+: Background Detection in RGBD Videos by Learning of Weightless Neural Networks
  • Exploiting Color and Depth for Background Subtraction
  • Simple Combination of Appearance and Depth for Foreground Segmentation
  • Going to a virtual supermarket: comparison of different techniques for interacting in a serious game for the assessment of the cognitive status
  • Interaction in an immersive collaborative virtual reality environment: a comparison between Leap Motion and HTC controllers
  • Ecological Validity of Virtual Reality : Three Use Cases
  • Biometric Traits in Multi-Secret Digital Steganography
  • Efficacy of Typing Pattern Analysis in Identifying Soft Biometric Information and Its Impact in User Recognition
  • Leveraging Continuous Multi-Modal Authentication for Access Control in Mobile Cloud Environments
  • Distributed Anti-Plagiarism Checker for Biomedical Images Based on Sensor Noise
  • Exploring the feasibility to authenticate users of web and cloud services using a brain-computer interface (BCI)
  • A Smart Peephole on the Cloud
  • WhoAreYou (WAY): a mobile CUDA powered picture ID Card recognition system
  • Personalized Dietary Self-Management using Mobile Vision-based Assistance
  • Food Ingredients Recognition through Multi-label Learning
  • Building parsimonious SVM models for chewing detection and adapting them to the user
  • Food Intake Detection from Inertial Sensors using LSTM Networks
  • Understanding Food Images to Recommend Utensils During Meals
  • Learning CNN-based Features for Retrieval of Food Images
  • On Comparing Color Spaces for Food Segmentation
  • Pocket Dietitian: Automated Healthy Dish Recommendations by Location
  • Comparison of Two Approaches for Direct Food Calorie Estimation
  • Distinguishing Nigerian Food Items and Calorie Content with Hyperspectral Imaging
  • A Multimedia Database for Automatic Meal Assessment Systems.