Share Email Print

Proceedings Paper

A 3D auto-regressive model for bidirectional prediction
Author(s): Yongbing Zhang; Debin Zhao; Siwei Ma; Ronggang Wang; Wen Gao
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, a 3D auto-regressive (AR) model is proposed for bi-directional prediction. The prediction is composed of two 3D AR models, which are along the forward and backward directions, respectively. Applying the 3D AR model, each pixel in the current frame is predicted as a weighted summation of pixels within a spatial neighborhood along the forward/backward motions within the forward/backward reference frames. Ultimately, the prediction of each pixel is obtained as the combination of predictions generated by the two 3D AR models. To derive accurate AR coefficients, this paper proposes a framework that performs simultaneous coefficient estimation and image interpolation. As opposed to other methods, the predicted pixels generated by one 3D AR model are further used to predict the pixels in adjacent frame along the motion trajectory. Consequently, each pixel in one forward/backward reference frame can be predicted as a nonlinear combination of pixels within an enlarged spatial neighborhood along the motion in one backward/forward reference frame. An iterative algorithm using a nonlinear least squares method is then devised to compute the optimum 3D AR coefficients. Various experiments conducted in this paper have confirmed that the proposed method has superior performance for bi-directional prediction.

Paper Details

Date Published: 19 January 2009
PDF: 8 pages
Proc. SPIE 7257, Visual Communications and Image Processing 2009, 72571I (19 January 2009);
Show Author Affiliations
Yongbing Zhang, Harbin Institute of Technology (China)
Debin Zhao, Harbin Institute of Technology (China)
Siwei Ma, Peking Univ. (China)
Ronggang Wang, France Telecom R&D, Beijing, Co., Ltd (China)
Wen Gao, Peking Univ. (China)

Published in SPIE Proceedings Vol. 7257:
Visual Communications and Image Processing 2009
Majid Rabbani; Robert L. Stevenson, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?