TY - GEN
T1 - Edge-directional technique for joint disparity-motion estimation of stereoscopic sequences
AU - Kim, Yongtae
AU - Lim, Jeong Eun
AU - Park, Changseob
AU - Lee, Jaeho
AU - Sohn, Kwanghoon
PY - 2004
Y1 - 2004
N2 - This paper presents an efficient joint disparity-motion estimation algorithm for stereo sequence CODEC. The disparity vectors are estimated by using the left and right motion vectors and the previous disparity vectors in each time frame. In order to obtain more accurate disparity vectors, we include spatial prediction process after joint estimation. From joint estimation and spatial prediction, we can obtain accurate disparity vectors and then increase coding efficiency. Finally, we proposed the backward quadtree decomposition, which helps the encoder to have more detailed disparity vector map without transmitting additional coding bits for quadtree information. We confirmed the superior performance of the proposed method from simulation results.
AB - This paper presents an efficient joint disparity-motion estimation algorithm for stereo sequence CODEC. The disparity vectors are estimated by using the left and right motion vectors and the previous disparity vectors in each time frame. In order to obtain more accurate disparity vectors, we include spatial prediction process after joint estimation. From joint estimation and spatial prediction, we can obtain accurate disparity vectors and then increase coding efficiency. Finally, we proposed the backward quadtree decomposition, which helps the encoder to have more detailed disparity vector map without transmitting additional coding bits for quadtree information. We confirmed the superior performance of the proposed method from simulation results.
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M3 - Conference contribution
AN - SCOPUS:10444283352
SN - 088986442X
T3 - Sixth IASTED International Conference on Signal and Image Processing
SP - 465
EP - 470
BT - Sixth IASTED International Conference on Signal and Image Processing
A2 - Hamza, M.H.
T2 - Sixth IASTED International Conference on Signal and Image Processing
Y2 - 23 August 2004 through 25 August 2004
ER -