
Multimodal Behavior Analysis in the Wild
Advances and Challenges
Description
Key Features
- Gives a comprehensive collection of information on the state-of-the-art, limitations, and challenges associated with extracting behavioral cues from real-world scenarios
- Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources
- Provides a wide variety of methodologies used to extract behavioral cues from multi-modal data
Readership
Researchers and graduate students in computer vision, machine learning, pattern recognition, signal processing, and audio processing
Table of Contents
1. Multimodal open-domain conversations with robotic platforms
2. Audio-motor integration for robot audition
3. Audio source separation into the wild
4. Designing audio-visual tools to support multisensory disabilities
5. Audio-visual learning for body-worn cameras
6. Activity recognition from visual lifelogs: State of the art and future challenges
7. Lifelog retrieval for memory stimulation of people with memory impairment
8. Integrating signals for reasoning about visitors’ behavior in cultural heritage
9. Wearable systems for improving tourist experience
10. Recognizing social relationships from an egocentric vision perspective
11. Complex conversational scene analysis using wearable sensors
12. Detecting conversational groups in images using clustering games
13. We are less free than how we think: Regular patterns in nonverbal communication
14. Crowd behavior analysis from fixed and moving cameras
15. Towards multi-modality invariance: A study in visual representation
16. Sentiment concept embedding for visual affect recognition
17. Video-based emotion recognition in the wild
18. Real-world automatic continuous affect recognition from audiovisual signals
19. Affective facial computing: Generalizability across domains
20. Automatic recognition of self-reported and perceived emotions
Product details
- No. of pages: 498
- Language: English
- Copyright: © Academic Press 2018
- Published: November 13, 2018
- Imprint: Academic Press
- Paperback ISBN: 9780128146019
- eBook ISBN: 9780128146026
About the Editors
Xavier Alameda-Pineda
Affiliations and Expertise
Elisa Ricci
Affiliations and Expertise
Nicu Sebe
Affiliations and Expertise
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