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

AvSebastiano Battiato,Giovanni Maria Farinella

Häftad, Engelska, 2018

Del 10590 i serien Lecture Notes in Computer Science

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Beskrivning

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;

Produktinformation

Utgivningsdatum:2018-01-10
Mått:155 x 235 x 27 mm
Vikt:744 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:480
Förlag:Springer International Publishing AG
ISBN:9783319707419

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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 ForegroundSegmentation.- 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.