| 000 | 07857nam a22006495i 4500 | ||
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| 001 | 978-3-319-70742-6 | ||
| 003 | DE-He213 | ||
| 005 | 20210120143250.0 | ||
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| 008 | 180102s2017 gw | s |||| 0|eng d | ||
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_a9783319707426 _9978-3-319-70742-6 |
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_a10.1007/978-3-319-70742-6 _2doi |
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_aNew Trends in Image Analysis and Processing – ICIAP 2017 _h[electronic resource] : _bICIAP International Workshops, WBICV, SSPandBE, 3AS, RGBD, NIVAR, IWBAAS, and MADiMa 2017, Catania, Italy, September 11-15, 2017, Revised Selected Papers / _cedited by Sebastiano Battiato, Giovanni Maria Farinella, Marco Leo, Giovanni Gallo. |
| 250 | _a1st ed. 2017. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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| 300 |
_aXV, 480 p. 155 illus. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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| 490 | 1 |
_aImage Processing, Computer Vision, Pattern Recognition, and Graphics ; _v10590 _aLecture Notes in Computer Science _v10590 |
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| 505 | 0 | _aA 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. | |
| 520 | _aThis 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 Beyond - SSPandBE 2017; Automatic affect analysis and synthesis - 3AS 2017; Background learning for detection and tracking from RGBD Videos - RGBD 2017; Natural human-computer Interaction and ecological perception in immersive Virtual and Augmented Reality - NIVAR 2017; 1st International Workshop on Biometrics as-a-service: cloud-based technology, systems and applications - IWBAAS 2017; 3rd International Workshop on Multimedia Assisted Dietary Management - MADiMa 2017. | ||
| 650 | 0 | _aPattern recognition. | |
| 650 | 0 | _aOptical data processing. | |
| 650 | 0 | _aComputer graphics. | |
| 650 | 0 | _aApplication software. | |
| 650 | 0 | _aArtificial intelligence. | |
| 650 | 1 | 4 |
_aPattern Recognition. _0https://scigraph.springernature.com/ontologies/product-market-codes/I2203X |
| 650 | 2 | 4 |
_aImage Processing and Computer Vision. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22021 |
| 650 | 2 | 4 |
_aComputer Graphics. _0https://scigraph.springernature.com/ontologies/product-market-codes/I22013 |
| 650 | 2 | 4 |
_aInformation Systems Applications (incl. Internet). _0https://scigraph.springernature.com/ontologies/product-market-codes/I18040 |
| 650 | 2 | 4 |
_aArtificial Intelligence. _0https://scigraph.springernature.com/ontologies/product-market-codes/I21000 |
| 700 | 1 |
_aBattiato, Sebastiano. _eeditor. _0(orcid)0000-0001-6127-2470 _1https://orcid.org/0000-0001-6127-2470 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aFarinella, Giovanni Maria. _eeditor. _0(orcid)0000-0002-6034-0432 _1https://orcid.org/0000-0002-6034-0432 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aLeo, Marco. _eeditor. _0(orcid)0000-0001-5636-6130 _1https://orcid.org/0000-0001-5636-6130 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aGallo, Giovanni. _eeditor. _0(orcid)0000-0002-6701-0620 _1https://orcid.org/0000-0002-6701-0620 _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319707419 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783319707433 |
| 830 | 0 |
_aImage Processing, Computer Vision, Pattern Recognition, and Graphics ; _v10590 |
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| 830 | 0 |
_aLecture Notes in Computer Science ; _v10590 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-70742-6 |
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