Abstract
The MPEG-4 Fine Grained Scalability (FGS) profile aims at scalable video encoding, in order to ensure efficient video streaming in networks with fluctuating bandwidth. In order to allow very low bit rate streaming, the Base Layer of an FGS video is encoded at a very low bit rate, resulting in very low video quality. In this paper, we propose FGS-MR, which uses content aware multi-resolution video frames to obtain better video quality for a target bit rate, compared to existing MPEG-4 FGS Base Layer video encoding schemes. FGS-MR is an integrated approach that requires only encoder side modification, and is transparent to the decoder. In addition, FGS-MR can be used with any existing MPEG-4 codec which supports FGS, since it entails smart video preprocessing and does not involve any components from the MPEG-4 compression pipeline. FGS-MR is a mask based technique. We have demonstrated an unsupervised algorithm to automatically create the mask from a given video sequence.
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