Experiments on lecturer segmentation using texture classification and a 3D camera
Friedland, Gerald ;  Jantz, Kristian ;  Knipping, Lars ;  Rojas, Raul ;  Universität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik

Main titleExperiments on lecturer segmentation using texture classification and a 3D camera
AuthorFriedland, Gerald
AuthorJantz, Kristian
AuthorKnipping, Lars
AuthorRojas, Raul
InstitutionUniversität <Berlin, Freie Universität> / Fachbereich Mathematik und Informatik
No. of Pages13 S.
Series Freie Universität Berlin, Fachbereich Mathematik und Informatik : Ser. B, Informatik ; [20]05,04
Classification (DDC)004 Data processing and Computer science
AbstractIn our system for recording and transmitting lectures over the Internet the board
content is sent as vector graphics, yielding a high quality image, while the video
of the lecturer is sent as a separate stream. It is easy for the viewer to read the
board, but the lecturer appears in a separate window. To eliminate this problem,
we segment the lecturer from the video stream and paste his image on the board
image at video stream rates. The lecturer can be dimmed by the remote viewer
from opaque to semitransparent, or even transparent. This paper explains the two
techniques we apply to achieve this: texture classification based segmentation, and
segmentation using a novel 3D camera based on the time-of-flight of backscattered
light principle. We argue that this technique provides a solution to the divided
attention problem which arises when board and lecturer are transmitted in two
different streams.
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FU DepartmentDepartment of Mathematics and Computer Science
Other affiliation(s)Institut für Informatik
Year of publication2005
Type of documentWorking paper
Terms of use/Rights Nutzungsbedingungen
Created at2009-06-16 : 08:49:43
Last changed2015-03-06 : 10:43:20
Static URLhttp://edocs.fu-berlin.de/docs/receive/FUDOCS_document_000000002322