کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
529278 | 869642 | 2012 | 13 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Iterative search strategy with selective bi-directional prediction for low complexity multiview video coding Iterative search strategy with selective bi-directional prediction for low complexity multiview video coding](/preview/png/529278.png)
The multiview video coding (MVC) extension of H.264/AVC is the emerging standard for compression of impressive 3D and free-viewpoint video. The coding structure in MVC adopts motion and disparity estimation to exploit temporal and inter-view dependencies in MVC. It results in a considerable increase in encoding complexity. Most of the computational burden comes from uni-directional and bi-directional prediction. In this paper, an iterative search strategy is designed to speed up the uni-directional prediction in MVC. It can work with an adaptive search range adjustment through a confidence measure of a loop constraint to obtain both motion and disparity vectors jointly. Furthermore, a selective bi-directional prediction algorithm is proposed to enhance the coding performance by analyzing the statistical characteristics of bi-directional prediction in MVC. Experimental results demonstrate that, by using the proposed fast search, the temporal and inter-view redundancies of multiview video can be eliminated sufficiently with low complexity.
► We propose a fast algorithm for motion and disparity estimation in MVC.
► We design an iterative search strategy for uni-directional prediction.
► We adaptively adjust search range to obtain motion and disparity vectors jointly.
► We adopt a selective bi-directional prediction algorithm in MVC.
► Coding performance will be increased significantly with low complexity.
Journal: Journal of Visual Communication and Image Representation - Volume 23, Issue 3, April 2012, Pages 522–534