Low Bit-Rate Video Streaming for Face-To-Face Teleconference

Face-to-face video teleconferencing is very important for real time

communication. Current teleconferencing application uses standard

video codec, such as MPEG1/2/4, for the compression of

face video. It either requires high bandwidth for high quality video

transmission, or the transmitted face video be blurred at low bitrate.

In this paper, we present a system for real-time coding of

face video at low bit-rate. There are two main contributions. First,

we improve the technique of long term memory prediction by selecting

frames into the database in an optimal way. A new frame

is selected into the database only when it is significantly different

from those frames which are already in the database. In this way,

the database can cover a wider range of images. Second, we incorporate

the prior knowledge about faces into the long term memory

prediction framework. The prior knowledge includes: (1) facial

motions are repetitive such that most of them can be reconstructed

from multiple reference frames; and (2) different components of

the face and the background could tolerate different level of error

because of different perceptual importance. Experiments show

that at similar PSNR the proposed system works much faster and

achieves better visual quality than standard H.264/JVT codec.

In  Proc. Int. Conference on Image Processing

Publisher  Institute of Electrical and Electronics Engineers, Inc.
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