2005•Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIERequires access

Fast decision on picture adaptive frame/field coding for H.264

Peng Yin, Alexis Michael Tourapis, Jill M. Boyce

Open publisher page 2 citations

Abstract

The new H.264 video coding standard supports picture and macroblock level adaptive frame/field coding, which can improve coding efficiency when coding interlaced sequences. A good design of an encoder needs to support all these modes and be able to decide which one is the most appropriate mode for encoding a macroblock or picture. It could be argued that the optimal solution can be found by employing a multi-pass strategy, that is to encode a macroblock or picture using all possible coding modes, and by selecting the one that yields the best coding performance. Unfortunately the computational complexity of such a multi-pass encoder is relatively high. In this paper, we propose a novel single-pass algorithm based on motion activity detection. The proposed scheme is performed in a pre-analysis stage and can reduce complexity by approximately 40%-60% compared to the two-pass frame/field encoder, while maintaining similar coding efficiency.

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What this paper is about

The new H.264 video coding standard supports picture and macroblock level adaptive frame/field coding, which can improve coding efficiency when coding interlaced sequences. A good design of an encoder needs to support all these modes and be able to decide which one is the most appropriate mode for encoding a macroblock or picture. It could be argued that the optimal solution can be found by employing a multi-pass strategy, that is to encode a macroblock or picture using all possible coding modes, and by selecting the one that yields the best coding performance. Unfortunately the computational complexity of such a multi-pass encoder is relatively high. In this paper, we propose a novel single-pass algorithm based on motion activity detection. The proposed scheme is performed in a pre-analysis stage and can reduce complexity by approximately 40%-60% compared to the two-pass frame/field encoder, while maintaining similar coding efficiency.

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Available abstract

The new H.264 video coding standard supports picture and macroblock level adaptive frame/field coding, which can improve coding efficiency when coding interlaced sequences. A good design of an encoder needs to support all these modes and be able to decide which one is the most appropriate mode for encoding a macroblock or picture. It could be argued that the optimal solution can be found by employing a multi-pass strategy, that is to encode a macroblock or picture using all possible coding modes, and by selecting the one that yields the best coding performance. Unfortunately the computational complexity of such a multi-pass encoder is relatively high. In this paper, we propose a novel single-pass algorithm based on motion activity detection. The proposed scheme is performed in a pre-analysis stage and can reduce complexity by approximately 40%-60% compared to the two-pass frame/field encoder, while maintaining similar coding efficiency.

Key concepts: Macroblock, Coding tree unit, Encoder, Computer science, Coding (social sciences), Algorithmic efficiency, Context-adaptive binary arithmetic coding, Context-adaptive variable-length coding

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