ACM Home Page
Please provide us with feedback. Feedback
CoMedi: using computer vision to support awareness and privacy in mediaspaces
Full text PdfPdf (313 KB)
Source Conference on Human Factors in Computing Systems archive
CHI '99 extended abstracts on Human factors in computing systems table of contents
Pittsburgh, Pennsylvania
DEMONSTRATION SESSION: Video demonstrations: interfaces for group work table of contents
Pages: 13 - 14  
Year of Publication: 1999
ISBN:1-58113-158-5
Authors
Joëlle Coutaz  CLIPS-IMAG, Grenoble Cedex, France
François Bérard  CLIPS-IMAG, Grenoble Cedex, France
Eric Carraux  CLIPS-IMAG, Grenoble Cedex, France
William Astier  CLIPS-IMAG, Grenoble Cedex, France
James L. Crowley  INRIA Rhône-Alpes, Montbonnot St-Martin, France
Sponsor
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 18,   Citation Count: 4
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/632716.632726
What is a DOI?

ABSTRACT

CoMedi is a mediaspace prototype that uses computer vision to provide new solutions to the problems of visual discontinuity and privacy. CoMedi includes a robust face tracker based on cooperation of multiple vision techniques, a tele-exploration tool based on a multi-resolution fovea, and new privacy filter using eigen-space coding.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
 
2
3
 
4
5
6
7


Collaborative Colleagues:
Joëlle Coutaz: colleagues
François Bérard: colleagues
Eric Carraux: colleagues
William Astier: colleagues
James L. Crowley: colleagues