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Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers
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| Titel: | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers/ edited by Friedhelm Schwenker, Stefan Scherer |
| Format: | E-Book |
| Sprache: | Englisch |
| veröffentlicht: |
Cham
Springer
2017
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| Gesamtaufnahme: |
SpringerLink Springer eBook Collection Lecture notes in computer science ; 10183 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB |
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| 520 | |a Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units | ||
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| contents | This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities, Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units |
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| spelling | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers edited by Friedhelm Schwenker, Stefan Scherer, Cham Springer 2017, Online-Ressource (VIII, 161 p. 61 illus, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Computer Science 10183, SpringerLink Bücher, Springer eBook Collection Computer Science, This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities, Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units, Computer science, Pattern recognition, Computer Science, Data mining, User interfaces (Computer systems), Artificial intelligence, Pattern recognition systems., Human-computer interaction., Schwenker, Friedhelm Hrsg. edt, Scherer, Stefan Hrsg. edt, 9783319592589, Druckausg. 978-3-319-59258-9, Printed edition 9783319592589, Lecture notes in computer science 10183 10183 (DE-627)316228877 (DE-576)093890923 (DE-600)2018930-8 1611-3349 ns, https://doi.org/10.1007/978-3-319-59259-6 B:SPRINGER Verlag lizenzpflichtig Volltext, https://swbplus.bsz-bw.de/bsz489629776cov.jpg V:DE-576 X:springer image/jpeg 20170614170629 Cover, (DE-627)889268681, http://dx.doi.org/10.1007/978-3-319-59259-6 DE-14, DE-14 epn:3407244878 2017-06-09T15:14:06Z, http://dx.doi.org/10.1007/978-3-319-59259-6 DE-Ch1, DE-Ch1 epn:3407245122 2017-06-09T15:14:06Z, http://dx.doi.org/10.1007/978-3-319-59259-6 DE-Zwi2, DE-Zwi2 epn:3407245238 2017-06-09T15:14:06Z |
| spellingShingle | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers, Lecture notes in computer science, 10183, This book constitutes the thoroughly refereed post-workshop proceedings of the Fourth IAPR TC9 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2016, held in Cancun, Mexico, in December 2016. The 13 revised papers presented focus on pattern recognition, machine learning and information fusion methods with applications in social signal processing, including multimodal emotion recognition, user identification, and recognition of human activities, Active Shape Model Vs. Deep Learning for Facial Emotion Recognition in Security -- Bimodal Recognition of Cognitive Load Based on Speech and Physiological Changes -- Human Mobility-Pattern Discovery and Next-Place Prediction from GPS data -- Fusion Architectures for Multimodal Cognitive Load Recognition -- Face Recognition in Home Security System Using Tensor Decomposition Based on Radix Hierarchical SVD -- Performance analysis of gesture recognition classifiers for building a human robot interface -- On Automatic Question Answering Using Efficient Primal-dual Models -- Hierarchical Bayesian Multiple Kernel Learning Based Feature Fusion for Action Recognition -- Audio Visual Speech Recognition Using Deep Recurrent Neural Networks -- Audio-Visual Recognition of Pain Intensity -- The Sense Emotion Database: A Multimodal Database for the Development and Systematic Validation of an Automatic Pain- and Emotion-Recognition System -- Photometric Stereo for 3D face reconstruction using non linear illumination models -- Recursively Measured Action Units, Computer science, Pattern recognition, Computer Science, Data mining, User interfaces (Computer systems), Artificial intelligence, Pattern recognition systems., Human-computer interaction. |
| swb_id_str | 489629776 |
| title | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers |
| title_auth | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers |
| title_full | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers edited by Friedhelm Schwenker, Stefan Scherer |
| title_fullStr | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers edited by Friedhelm Schwenker, Stefan Scherer |
| title_full_unstemmed | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers edited by Friedhelm Schwenker, Stefan Scherer |
| title_in_hierarchy | 10183. Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers (2017) |
| title_short | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction |
| title_sort | multimodal pattern recognition of social signals in human computer interaction 4th iapr tc 9 workshop mprss 2016 cancun mexico december 4 2016 revised selected papers |
| title_sub | 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers |
| title_unstemmed | Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction: 4th IAPR TC 9 Workshop, MPRSS 2016, Cancun, Mexico, December 4, 2016, Revised Selected Papers |
| topic | Computer science, Pattern recognition, Computer Science, Data mining, User interfaces (Computer systems), Artificial intelligence, Pattern recognition systems., Human-computer interaction. |
| topic_facet | Computer science, Pattern recognition, Computer Science, Data mining, User interfaces (Computer systems), Artificial intelligence, Pattern recognition systems., Human-computer interaction. |
| url | https://doi.org/10.1007/978-3-319-59259-6, https://swbplus.bsz-bw.de/bsz489629776cov.jpg, http://dx.doi.org/10.1007/978-3-319-59259-6 |