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Optimization of H.264 encoder using adaptive mode decision and SIMD instructions

Yonghwan Kim, Jinwoo Yoo, Seong-Won Lee, Joonki Paik, Byeongho Choi

Open publisher page 3 citations

Abstract

This work presents algorithms that optimize the baseline H.264 encoder without loss of image quality and compression ratio. We propose an adaptive mode decision algorithm to speedup complex mode decision with rate distortion optimization (RDO). Also we optimize computation-intensive modules using single instruction multiple data (SIMD) instructions. As a result, the proposed encoder is ten times faster than the JM72 reference encoder.

About this research paper

What this paper is about

This work presents algorithms that optimize the baseline H.264 encoder without loss of image quality and compression ratio. We propose an adaptive mode decision algorithm to speedup complex mode decision with rate distortion optimization (RDO). Also we optimize computation-intensive modules using single instruction multiple data (SIMD) instructions. As a result, the proposed encoder is ten times faster than the JM72 reference encoder.

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OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

This work presents algorithms that optimize the baseline H.264 encoder without loss of image quality and compression ratio. We propose an adaptive mode decision algorithm to speedup complex mode decision with rate distortion optimization (RDO). Also we optimize computation-intensive modules using single instruction multiple data (SIMD) instructions. As a result, the proposed encoder is ten times faster than the JM72 reference encoder.

Key concepts: Encoder, SIMD, Computer science, Speedup, Rate–distortion optimization, Computation, Distortion (music), Parallel computing

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