논문명 | A collaborative client participant fusion system for realistic remote conferences |
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논문종류 | SCI |
저자 | Wei SongMingyun WenYulong XiPhuong Minh ChuHoang VuShokh-Jakhon KayumiyKyungeun Cho |
Impact Factor | 1.088 |
게재학술지명 | The Journal of Supercomputing |
게재일 | 2016.07 |
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. |