A spatial and interlayer hybrid intra-prediction (SILHIP) scheme is proposed in this work to improve the coding efficiency of the scalable video coding (SVC) standard. The SVC standard adopts a line-by-line intra-prediction that predicts the texture information of a block by exploiting the spatial correlation between adjacent blocks. However, the accuracy of the line-by-line intra-prediction deteriorates when a target block lies in the edge region. The proposed SILHIP scheme adaptively predicts a target block by exploiting both the spatial correlation and the interlayer correlation between the base layer and the enhancement layer. To implement the SILHIP scheme, we partition a macroblock into two regions based on the edge map and allow different types of prediction schemes to be used in different regions. It is shown by experimental results that the proposed SILHIP scheme outperforms the conventional one consistently.
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