Adaptive field/frame selection for high-compression coding

Xi Min Zhang; Anthony Vetro; Huifang Sun; Yun-Qing Shi

doi:10.1117/12.476447

7 May 2003 Adaptive field/frame selection for high-compression coding

Xi Min Zhang, Anthony Vetro, Huifang Sun, Yun-Qing Shi

Proceedings Volume 5022, Image and Video Communications and Processing 2003; (2003) https://doi.org/10.1117/12.476447
Event: Electronic Imaging 2003, 2003, Santa Clara, CA, United States

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.

Citation Download Citation

Xi Min Zhang, Anthony Vetro, Huifang Sun, and Yun-Qing Shi "Adaptive field/frame selection for high-compression coding", Proc. SPIE 5022, Image and Video Communications and Processing 2003, (7 May 2003); https://doi.org/10.1117/12.476447

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