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Proceedings Paper

Adaptive field/frame selection for high-compression coding
Author(s): Xi Min Zhang; Anthony Vetro; Huifang Sun; Yun-Qing Shi
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Paper Abstract

In practice, interlaced video sequences are typically coded with either a frame-only or field-only structure, irrespective of the content. However, coding in this way will not provide the best coding efficiency. This paper proposes an adaptive picture-level field/frame coding scheme with corresponding rate control. First, a two-pass field/frame decision scheme is proposed. In this scheme, we formulate the field/frame decision as a constrained optimization problem. The actual rate and distortion data are collected and the optimal picture-level coding decision is determined based on this data. An effective rate control for the proposed two-pass algorithm is also presented. However, since the complexity of the two-pass scheme is relatively large since motion estimation must be performed for both the frame-based picture and the field-based picture, we also propose a one-pass field/frame decision scheme. This one-pass scheme calculates the variance of each macroblock in a field and estimates the correlation between two fields. Based on the correlation, a decision to code the picture as a frame or as fields is made. A rate control method for the proposed one-pass scheme is also presented. Simulation results demonstrate that our scheme outperforms frame-only and field-only coding for several sequences coded at a wide range of bit-rates, and the proposed one-pass scheme obtains similar performance as the proposed two-pass scheme.

Paper Details

Date Published: 7 May 2003
PDF: 11 pages
Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); doi: 10.1117/12.476447
Show Author Affiliations
Xi Min Zhang, New Jersey Institute of Technology (United States)
Anthony Vetro, Mitsubishi Electric Research Labs. (United States)
Huifang Sun, Mitsubishi Electric Research Labs. (United States)
Yun-Qing Shi, New Jersey Institute of Technology (United States)

Published in SPIE Proceedings Vol. 5022:
Image and Video Communications and Processing 2003
Bhaskaran Vasudev; T. Russell Hsing; Andrew G. Tescher; Touradj Ebrahimi, Editor(s)

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