Kwanwoong Song

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An efficient error concealment algorithm for multi-view video sequences is proposed in this work. First, we develop three concealment modes: temporal bilateral error concealment (TBEC), inter-view bilateral error concealment (IBEC), and multi-hypothesis error concealment (MHEC). TBEC and IBEC, respectively, exploit intra-view and inter-view correlations in(More)
An efficient multi-hypothesis error concealment algorithm for H.264 video is proposed in this work. The proposed algorithm temporally conceals a lost block by combining several hypothesis blocks in the previous frame. We investigate the error recovery performance according to the number of hypotheses and the weighting coefficients. Simulation results(More)
In this work, we propose an efficient coding algorithm for multi-view video sequences, captured with a 2-D camera array. We develop an efficient prediction structure, which can exploit inter-view redundancies as well as temporal redundancies in 2-D multi-view video sequences. Moreover, we propose a view interpolation technique based on the bilateral(More)
An efficient compression algorithm for multi-view video sequences, which are captured by two-dimensional (2D) camera arrays, is proposed in this work. First, we propose a novel prediction structure, called three-dimensional hierarchical B prediction (3DHBP), which can efficiently reduce horizontal inter-view redundancies, vertical inter-view redundancies,(More)
A virtual view synthesis algorithm using multi-view video sequences, which inherits the advantages of both the forward warping and the inverse warping, is proposed in this work. First, we use the inverse warping to synthesize a virtual view without holes from the nearest two views. Second, we detect occluded regions in the synthesized view based on the(More)
To achieve high video quality for real-time video streaming over the mobile WiMAX network, it is necessary to adaptively adjust the target bit rate of the video encoder based on verified network status. Since it is difficult to verify network congestion using only PHY-layer parameters, this paper proposes an algorithm for verifying network status by using a(More)