| Description |
1 online resource |
| Series |
Computer vision and pattern recognition series |
|
Computer vision and pattern recognition series.
|
| Summary |
Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of-the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the-art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Online resource; title from PDF title page (EBSCO, viewed November 19, 2018) |
| Subject |
Pattern recognition systems.
|
|
Signal processing.
|
|
Human behavior.
|
|
Pattern Recognition, Automated
|
|
Behavior
|
|
human behavior.
|
|
TECHNOLOGY & ENGINEERING -- Mechanical.
|
|
Human behavior
|
|
Pattern recognition systems
|
|
Signal processing
|
| Form |
Electronic book
|
| Author |
Alam-Pin, Xavier, editor
|
|
Ricci, Elisa, editor
|
|
Sebe, Nicu, editor
|
| ISBN |
9780128146026 |
|
0128146028 |
|
