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http://dx.doi.org/10.5909/JBE.2012.17.6.976

Efficient Motion Prediction Architecture and Design of DPB for Scalable Multi-view Video Coding  

Kim, Ji-Hoon (Yonsei University)
Jung, Tae-Jun (Yonsei University)
Lee, Hong-Rae (Yonsei University)
Seo, Kwang-Deok (Yonsei University)
Kim, Jin-Soo (Hanbat National University)
Lee, Hahyun (ETRI)
Kang, Jung Won (ETRI)
Publication Information
Journal of Broadcast Engineering / v.17, no.6, 2012 , pp. 976-989 More about this Journal
Abstract
In this paper, we propose an efficient motion prediction architecture and DPB design mechanism for scalable multi-view video coding which is implemented by integrating SVC and MVC coding algorithms. In the proposed motion prediction architecture, we employ pictures associated with other views as a candidate for reference picture for improved motion prediction performance. By the proposed prediction architecture, we could enormously reduce the size of compressed video data. When performing scalable multi-view video coding, an integrated DPB design mechanism is also proposed. It is shown by various simulations that the proposed motion prediction architecture for scalable multi-view video coding can result in reduced data size in the compressed bitstream.
Keywords
Motion prediction; Decoded Picture Buffer; SVC; MVC; Scalable Multi-view Video Coding;
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