Understanding Photos of People Using Social Context

Explore the cutting-edge field of computer vision and image analysis in this guest lecture by Dr. Tsuhan Chen at the University of Central Florida. Delve into the complexities of understanding photos of people using social context, moving beyond traditional face recognition techniques. Learn about the importance of contextual information in image interpretation, including pose factors, social relationships, and group dynamics. Discover how gender estimation, facial vanishing lines, and geolocation contribute to a more comprehensive understanding of images. Examine real-world examples and experimental results that demonstrate the power of contextual analysis in deciphering dining events and other social scenarios. Gain insights into the future of holistic image understanding and its potential applications in various fields.

Intro
What do you see?
Face recognition is so 1990's...
Understanding images of people
What is context?
Context for images of people
An example...
Graphical model...
Pose is social context too...
Learning pose factors
Social relationship
Understanding images of groups
Evidence of social context
Gender and location
Gender estimation
Find the face vanishing line
Context for dining event
Example group prior
Geolocation
Experiment results
What is next?
Holistic image understanding
How about this...