Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

1. Front Matter

   Pages I-VIII

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2. Algorithms

   1. Front Matter

      Pages 1-1

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   2. Automatic Image Collection of Objects with Similar Function by Learning Human Grasping Forms

      • Shinya Morioka, Tadashi Matsuo, Yasuhiro Hiramoto, Nobutaka Shimada, Yoshiaki Shirai

      Pages 3-14

   3. Client Specific Image Gradient Orientation for Unimodal and Multimodal Face Representation

      • He-Feng Yin, Xiao-Jun Wu, Xiao-Qi Sun

      Pages 15-25

   4. Multiple-manifolds Discriminant Analysis for Facial Expression Recognition from Local Patches Set

      • Ning Zheng, Lin Qi, Ling Guan

      Pages 26-33

   5. Monte Carlo Based Importance Estimation of Localized Feature Descriptors for the Recognition of Facial Expressions

      • Markus Kächele, Günther Palm, Friedhelm Schwenker

      Pages 34-42

   6. Noisy Speech Recognition Based on Combined Audio-Visual Classifiers

      • Lucas D. Terissi, Gonzalo D. Sad, Juan C. Gómez, Marianela Parodi

      Pages 43-53

   7. Complementary Gaussian Mixture Models for Multimodal Speech Recognition

      • Gonzalo D. Sad, Lucas D. Terissi, Juan C. Gómez

      Pages 54-65

   8. Fusion of Text and Audio Semantic Representations Through CCA

      • Kamelia Aryafar, Ali Shokoufandeh

      Pages 66-73

3. Applications

   1. Front Matter

      Pages 75-75

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   2. uulmMAD – A Human Action Recognition Dataset for Ground-Truth Evaluation and Investigation of View Invariances

      • Michael Glodek, Georg Layher, Felix Heilemann, Florian Gawrilowicz, Günther Palm, Friedhelm Schwenker et al.

      Pages 77-91

   3. A Real Time Gesture Recognition System for Human Computer Interaction

      • Carmela Attolico, Grazia Cicirelli, Cataldo Guaragnella, Tiziana D’Orazio

      Pages 92-101

   4. A SIFT-Based Feature Level Fusion of Iris and Ear Biometrics

      • Lamis Ghoualmi, Salim Chikhi, Amer Draa

      Pages 102-112

   5. Audio-Visual User Identification in HCI Scenarios

      • Markus Kächele, Sascha Meudt, Andrej Schwarz, Friedhelm Schwenker

      Pages 113-122

   6. Towards an Adaptive Brain-Computer Interface – An Error Potential Approach

      • Nuno Figueiredo, Filipe Silva, Petia Georgieva, Mariofanna Milanova, Engin Mendi

      Pages 123-129

   7. Online Smart Face Morphing Engine with Prior Constraints and Local Geometry Preservation

      • Quan Wang, Yu Wang, Zuoguan Wang

      Pages 130-140

   8. Exploring Alternate Modalities for Tag Recommendation

      • Kamelia Aryafar, Jerry Soung

      Pages 141-144

4. Back Matter

   Pages 145-145

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This book constitutes the thoroughly refereed post-workshop proceedings of the Third IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction, MPRSS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of the International Conference on Pattern Recognition, ICPR 2014. The 14 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.

• Audio-visual speech features
• Classifier fusion
• Complementary models
• Cross-domain retrieval
• Discrete geometry
• Facial expression recognition
• Feature point detection
• Geometry embedding
• Graph transformations
• Human computer interaction
• Iris biometrics
• Lattice computations
• Local patches
• Manifold learning
• Multi modal data processing
• Multidimensional scaling
• Multimodal biometrics
• Person identification
• Speech recognition

• University of Ulm, Universität Ulm, Ulm, Germany

  Friedhelm Schwenker

• University of Southern California, Playa Vista, USA

  Stefan Scherer, Louis-Philippe Morency

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