Visual framing feedback for desktop video conferencing

Author

Wu, Chen ; Samadani, Ramin ; Mitchell, April ; Baker, Mary ; Gelb, Dan

Author_Institution

Dept. of Electr. Eng., Stanford Univ., Stanford, CA, USA

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

2961

Lastpage

2964

Abstract

Desktop video conferencing participants are often poorly positioned in their outgoing video - unaware of their appearance on camera. We combine face detection, feature tracking and motion detection for automatic real-time detection of poorly framed participants and subsequently provide framing feedback by compositing their incoming and outgoing video streams. Our solution provides participants visual feedback only while they have framing problems. Otherwise the display shows only the remote participants, allowing users to focus fully on the conference. We analyze the system components and describe a user study that found advantages of our approach over the existing mirror window solution.

Keywords

face recognition; feature extraction; image motion analysis; microcomputers; object detection; object tracking; teleconferencing; video communication; video streaming; desktop video conferencing participants; face detection; feature tracking; mirror window solution; motion detection; participants visual feedback; poorly framed participant detection; video streams; visual framing feedback; Face; Face detection; Feature extraction; Mirrors; Motion detection; Streaming media; Tracking; video analysis; video conferencing;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2011 18th IEEE International Conference on

Conference_Location

Brussels

ISSN

1522-4880

Print_ISBN

978-1-4577-1304-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2011.6116275

Filename

6116275