2007•Unpublished venueOpen access

Dynamic complexity scaling for real-time H.264/AVC video encoding

Yuri V. Ivanov, Chris J. Bleakley

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Abstract

The H.264 video encoding standard can achieve high coding efficiency at the expense of high computational complexity. Typically, real-time software implementation requires omission of most optional encoding tools leading to significantly reduced coding efficiency. This paper proposes a novel method for real-time H.264 encoding based on dynamic control of the encoding parameters to meet real-time constraints while minimizing coding efficiency loss. Experimental results show that the method provides up to 19% lower bit rate than conventional real-time encoding using fixed parameters with the same visual quality. The method allows real-time 30fps QCIF encoding on a Pentium IV with similar coding efficiency to full search baseline profile encoding.

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What this paper is about

The H.264 video encoding standard can achieve high coding efficiency at the expense of high computational complexity. Typically, real-time software implementation requires omission of most optional encoding tools leading to significantly reduced coding efficiency. This paper proposes a novel method for real-time H.264 encoding based on dynamic control of the encoding parameters to meet real-time constraints while minimizing coding efficiency loss. Experimental results show that the method provides up to 19% lower bit rate than conventional real-time encoding using fixed parameters with the same visual quality. The method allows real-time 30fps QCIF encoding on a Pentium IV with similar coding efficiency to full search baseline profile encoding.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The H.264 video encoding standard can achieve high coding efficiency at the expense of high computational complexity. Typically, real-time software implementation requires omission of most optional encoding tools leading to significantly reduced coding efficiency. This paper proposes a novel method for real-time H.264 encoding based on dynamic control of the encoding parameters to meet real-time constraints while minimizing coding efficiency loss. Experimental results show that the method provides up to 19% lower bit rate than conventional real-time encoding using fixed parameters with the same visual quality. The method allows real-time 30fps QCIF encoding on a Pentium IV with similar coding efficiency to full search baseline profile encoding.

Key concepts: Computer science, Context-adaptive binary arithmetic coding, Scalable Video Coding, Encoding (memory), Pentium, Coding (social sciences), Context-adaptive variable-length coding, Algorithmic efficiency

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