CLC number: TN941.3
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2010-12-30
Cited: 0
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Zheng Zhu, Dong-xiao Li, Ming Zhang. Optimizing inter-view prediction structures for multi-view video coding using simulated annealing[J]. Journal of Zhejiang University Science C, 2011, 12(2): 155-162.
@article{title="Optimizing inter-view prediction structures for multi-view video coding using simulated annealing",
author="Zheng Zhu, Dong-xiao Li, Ming Zhang",
journal="Journal of Zhejiang University Science C",
volume="12",
number="2",
pages="155-162",
year="2011",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1000016"
}
%0 Journal Article
%T Optimizing inter-view prediction structures for multi-view video coding using simulated annealing
%A Zheng Zhu
%A Dong-xiao Li
%A Ming Zhang
%J Journal of Zhejiang University SCIENCE C
%V 12
%N 2
%P 155-162
%@ 1869-1951
%D 2011
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000016
TY - JOUR
T1 - Optimizing inter-view prediction structures for multi-view video coding using simulated annealing
A1 - Zheng Zhu
A1 - Dong-xiao Li
A1 - Ming Zhang
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 2
SP - 155
EP - 162
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000016
Abstract: New video applications, such as 3D video and free viewpoint video, require efficient compression of multi-view video. In addition to temporal redundancy, exploiting the inter-view redundancy is crucial to improve the performance of multi-view video coding. In this paper, we present a novel method to construct the optimal inter-view prediction structure for multi-view video coding using simulated annealing. In the proposed model, the design of the prediction structure is converted to the arrangement of coding order. Then, a simulated annealing algorithm is employed to minimize the total cost for obtaining the best coding order. This method is applicable to arbitrary irregular camera arrangements. As experiment results reveal, the annealing process converges to satisfactory results rapidly and the generated optimal prediction structure outperforms the reference prediction structure of the joint multi-view video model (JMVM) by 0.1–0.8 dB PSNR gains.
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