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Advances in image and video technology : third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009 : proceedings / / Toshikazu Wada, Fay Huang, Stephen Lin, editors
| Advances in image and video technology : third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009 : proceedings / / Toshikazu Wada, Fay Huang, Stephen Lin, editors |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2009] |
| Descrizione fisica | 1 online resource (XXI, 1119 p.) |
| Disciplina | 621.367 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Imaging systems |
| ISBN | 3-540-92957-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Faces and Pedestrians -- Panoramic Images -- Local Image Analysis -- Organization and Grouping -- Multiview Geometry -- Detection and Tracking -- Computational Photography and Forgeries -- Coding and Steganography -- Recognition and Search -- Reconstruction and Visualization -- Poster 1 -- Poster 2 -- Poster 3. |
| Record Nr. | UNINA-9910483693703321 |
| Berlin ; ; Heidelberg : , : Springer, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in image and video technology : third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009 : proceedings / / Toshikazu Wada, Fay Huang, Stephen Lin, editors
| Advances in image and video technology : third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009 : proceedings / / Toshikazu Wada, Fay Huang, Stephen Lin, editors |
| Edizione | [1st ed. 2009.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2009] |
| Descrizione fisica | 1 online resource (XXI, 1119 p.) |
| Disciplina | 621.367 |
| Collana | Lecture notes in computer science |
| Soggetto topico | Imaging systems |
| ISBN | 3-540-92957-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Faces and Pedestrians -- Panoramic Images -- Local Image Analysis -- Organization and Grouping -- Multiview Geometry -- Detection and Tracking -- Computational Photography and Forgeries -- Coding and Steganography -- Recognition and Search -- Reconstruction and Visualization -- Poster 1 -- Poster 2 -- Poster 3. |
| Record Nr. | UNISA-996465950803316 |
| Berlin ; ; Heidelberg : , : Springer, , [2009] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Visual Computing [[electronic resource] ] : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / / edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura
| Advances in Visual Computing [[electronic resource] ] : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / / edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXI, 771 p. 535 illus., 322 illus. in color.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer organization Computer security Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks Systems and Data Security |
| ISBN | 3-030-03801-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ST: Computational Bioimaging -- Automatic Registration of Serial Cerebral Angiography: A Comparative Review -- Skull Stripping using Confidence Segmentation Convolution Neural Network -- Skin Cancer Segmentation Using a Unified Markov Random Field -- Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition -- Computer Graphics I -- PSO-based Newton-like Method and Iteration Processes in the Generation of Artistic Patterns -- An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena -- Biomimetic Perception Learning for Human Sensorimotor Control -- Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions -- Visual Surveillance -- Accurate and Efficient Non-Parametric Background Detection for Video Surveillance -- A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition -- Video-based human action recognition using kernel relevance analysis -- Robust Incremental Hidden Conditional Random Fields for Human Action Recognition -- Pattern Recognition -- Rotation Symmetry Object Classification using Structure Constrained Convolutional Neural Network -- A Hough Space Feature for Vehicle Detection -- Gender Classification Based on Facial Shape and Texture Features -- Authentication-based on Biomechanics of Finger Movements captured using Optical Motion-Capture -- Specific Document Sign Location Detection Based on Point Matching and Clustering -- Virtual Reality I -- Training in Virtual Environments for Hybrid Power Plants -- Visualizing Viewpoint Movement on Driving by Space Information Rendering -- Virtual Reality System for Children Lower Limb Strengthening with the use of Electromyographic Sensors -- A Comparative Study of Virtual UI for Risk Assessment and Evaluation -- Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments -- Deep Learning I -- Accuracy of a Driver-Assistance System in a Collision Scenario -- Classify broiler viscera using an iterative approach on noisy labeled training data -- Instance-level Object Recognition using Deep Temporal Coherence -- DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification -- Motion and Tracking -- Particle Filter Based Tracking and Mapping -- Multi-Branch Siamese Networks with Online Selection for Object Tracking -- Deep Convolutional Correlation Filters for Visual Tracking by Detection -- The bird gets caught by the WORM: tracking multiple deformable objects in noisy environments using Weight ORdered Logic Maps -- A Mumford Shah Style Unified Framework for Layering: Pitfalls and Solutions -- Visualization -- Visualization of Parameter Sensitivity of 2D Time-Dependent Flow -- Non-stationary generalized Wishart process for enhancing resolution over diffusion tensor fields -- Reduced-reference image quality assessment based on improved local binary pattern -- Web system for visualization of weather data of the hydrometeorological network of Tungurahua, Ecuador -- Analysis and Visualization of Sports Performance Anxiety in Tennis Matches -- Object Detection and Recognition -- Detailed sentence generation architecture for image semantics description -- Pupil Localization Using Geodesic Distance -- Parallel Curves Detection Using Multi-Agent System -- Can Deep Learning Learn the Principle of Closed Contour Detection -- Deep Learning II -- DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking -- Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking -- Scale-aware RPN for Vehicle Detection -- Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure -- Large Scale Application Response Time Measurement using Image Recognition and Deep Learning -- Applications I -- Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments -- Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition -- Patient's Body Motion Study using Multimodal RGBDT Videos -- Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments -- Shape-based Smoothing of Binary Digital Objects Using Signed Distance Transform -- Segmentation -- Patch-based potentials for interactive contour extraction -- A New Algorithm for Local Blur-Scale Computation and Edge Detection -- Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels -- Applications II -- Fast Image Dehazing Methods for Real-Time Video Processing -- GPU Accelerated Non-Parametric Background Subtraction -- Budget-constrained Online Video Summarisation of Egocentric Video Using Control Charts -- p-Laplacian regularization of signals on directed graphs -- A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval -- Virtual Reality II -- Augmented Reality System for Training and Assistance in the Management of Equipment and Industrial Instruments -- Alternative Treatment for Spider Phobia through Virtual Reality Environments -- The skyline as a marker for augmented reality in urban context -- Oil Processes VR Training -- ST: Intelligent Transportation Systems -- Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector -- Autonomous Bus Boarding Robotic Wheelchair using Bidirectional Sensing Systems -- Road User Abnormal Trajectory Detection using a Deep Autoencoder -- Traffic Flow Classiffication Using Traffic Cameras. |
| Record Nr. | UNINA-9910349394203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Visual Computing [[electronic resource] ] : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / / edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura
| Advances in Visual Computing [[electronic resource] ] : 13th International Symposium, ISVC 2018, Las Vegas, NV, USA, November 19 – 21, 2018, Proceedings / / edited by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Matt Turek, Srikumar Ramalingam, Kai Xu, Stephen Lin, Bilal Alsallakh, Jing Yang, Eduardo Cuervo, Jonathan Ventura |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XXI, 771 p. 535 illus., 322 illus. in color.) |
| Disciplina | 006.6 |
| Collana | Image Processing, Computer Vision, Pattern Recognition, and Graphics |
| Soggetto topico |
Pattern recognition
Optical data processing Artificial intelligence Computer organization Computer security Pattern Recognition Image Processing and Computer Vision Artificial Intelligence Computer Systems Organization and Communication Networks Systems and Data Security |
| ISBN | 3-030-03801-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ST: Computational Bioimaging -- Automatic Registration of Serial Cerebral Angiography: A Comparative Review -- Skull Stripping using Confidence Segmentation Convolution Neural Network -- Skin Cancer Segmentation Using a Unified Markov Random Field -- Heart Modeling by Convexity Preserving Segmentation and Convex Shape Decomposition -- Computer Graphics I -- PSO-based Newton-like Method and Iteration Processes in the Generation of Artistic Patterns -- An Evaluation of Smoothing and Remeshing Techniques to Represent the Evolution of Real-World Phenomena -- Biomimetic Perception Learning for Human Sensorimotor Control -- Porous Structure Design in Tissue Engineering Using Anisotropic Radial Basis Functions -- Visual Surveillance -- Accurate and Efficient Non-Parametric Background Detection for Video Surveillance -- A Low-Power Neuromorphic System for Real-Time Visual Activity Recognition -- Video-based human action recognition using kernel relevance analysis -- Robust Incremental Hidden Conditional Random Fields for Human Action Recognition -- Pattern Recognition -- Rotation Symmetry Object Classification using Structure Constrained Convolutional Neural Network -- A Hough Space Feature for Vehicle Detection -- Gender Classification Based on Facial Shape and Texture Features -- Authentication-based on Biomechanics of Finger Movements captured using Optical Motion-Capture -- Specific Document Sign Location Detection Based on Point Matching and Clustering -- Virtual Reality I -- Training in Virtual Environments for Hybrid Power Plants -- Visualizing Viewpoint Movement on Driving by Space Information Rendering -- Virtual Reality System for Children Lower Limb Strengthening with the use of Electromyographic Sensors -- A Comparative Study of Virtual UI for Risk Assessment and Evaluation -- Sensory Fusion and Intent Recognition for Accurate Gesture Recognition in Virtual Environments -- Deep Learning I -- Accuracy of a Driver-Assistance System in a Collision Scenario -- Classify broiler viscera using an iterative approach on noisy labeled training data -- Instance-level Object Recognition using Deep Temporal Coherence -- DUPL-VR: Deep Unsupervised Progressive Learning for Vehicle Re-Identification -- Motion and Tracking -- Particle Filter Based Tracking and Mapping -- Multi-Branch Siamese Networks with Online Selection for Object Tracking -- Deep Convolutional Correlation Filters for Visual Tracking by Detection -- The bird gets caught by the WORM: tracking multiple deformable objects in noisy environments using Weight ORdered Logic Maps -- A Mumford Shah Style Unified Framework for Layering: Pitfalls and Solutions -- Visualization -- Visualization of Parameter Sensitivity of 2D Time-Dependent Flow -- Non-stationary generalized Wishart process for enhancing resolution over diffusion tensor fields -- Reduced-reference image quality assessment based on improved local binary pattern -- Web system for visualization of weather data of the hydrometeorological network of Tungurahua, Ecuador -- Analysis and Visualization of Sports Performance Anxiety in Tennis Matches -- Object Detection and Recognition -- Detailed sentence generation architecture for image semantics description -- Pupil Localization Using Geodesic Distance -- Parallel Curves Detection Using Multi-Agent System -- Can Deep Learning Learn the Principle of Closed Contour Detection -- Deep Learning II -- DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking -- Convolutional Adaptive Particle Filter with Multiple Models for Visual Tracking -- Scale-aware RPN for Vehicle Detection -- Object Detection to Assist Visually Impaired People: A Deep Neural Network Adventure -- Large Scale Application Response Time Measurement using Image Recognition and Deep Learning -- Applications I -- Vision-Depth Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments -- Efficient Nearest Neighbors Search for Large-Scale Landmark Recognition -- Patient's Body Motion Study using Multimodal RGBDT Videos -- Marker based Thermal-Inertial Localization for Aerial Robots in Obscurant Filled Environments -- Shape-based Smoothing of Binary Digital Objects Using Signed Distance Transform -- Segmentation -- Patch-based potentials for interactive contour extraction -- A New Algorithm for Local Blur-Scale Computation and Edge Detection -- Semantic Segmentation by Integrating Classifiers for Different Difficulty Levels -- Applications II -- Fast Image Dehazing Methods for Real-Time Video Processing -- GPU Accelerated Non-Parametric Background Subtraction -- Budget-constrained Online Video Summarisation of Egocentric Video Using Control Charts -- p-Laplacian regularization of signals on directed graphs -- A Dense-Depth Representation for VLAD descriptors in Content-Based Image Retrieval -- Virtual Reality II -- Augmented Reality System for Training and Assistance in the Management of Equipment and Industrial Instruments -- Alternative Treatment for Spider Phobia through Virtual Reality Environments -- The skyline as a marker for augmented reality in urban context -- Oil Processes VR Training -- ST: Intelligent Transportation Systems -- Multiple Object Tracking in Urban Traffic Scenes with a Multiclass Object Detector -- Autonomous Bus Boarding Robotic Wheelchair using Bidirectional Sensing Systems -- Road User Abnormal Trajectory Detection using a Deep Autoencoder -- Traffic Flow Classiffication Using Traffic Cameras. |
| Record Nr. | UNISA-996466282703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||