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- Title
A collaborative client participant fusion system for realistic remote conferences.
- Authors
Song, Wei; Wen, Mingyun; Xi, Yulong; Chu, Phuong; Vu, Hoang; Kayumiy, Shokh-Jakhon; Cho, Kyungeun
- Abstract
Remote conferencing systems provide a shared environment where people in different locations can communicate and collaborate in real time. Currently, remote video conferencing systems present separate video images of the individual participants. To achieve a more realistic conference experience, we enhance video conferencing by integrating the remote images into a shared virtual environment. This paper proposes a collaborative client participant fusion system using a real-time foreground segmentation method. In each client system, the foreground pixels are extracted from the participant images using a feedback background modeling method. Because the segmentation results often contain noise and holes caused by adverse environmental lighting conditions and substandard camera resolution, a Markov Random Field model is applied in the morphological operations of dilation and erosion. This foreground segmentation refining process is implemented using graphics processing unit programming, to facilitate real-time image processing. Subsequently, segmented foreground pixels are transmitted to a server, which fuses the remote images of the participants into a shared virtual environment. The fused conference scene is represented by a realistic holographic projection.
- Subjects
VIDEOCONFERENCING; MARKOV random fields; GRAPHICS processing units; IMAGE processing; SHARED virtual environments
- Publication
Journal of Supercomputing, 2016, Vol 72, Issue 7, p2720
- ISSN
0920-8542
- Publication type
Article
- DOI
10.1007/s11227-015-1580-z