Efficient Coding Unit Size Selection Based on Texture Analysis for HEVC Intra Prediction
Kodikara Arachchi, Hemantha
Institute of Electrical and Electronics Engineers (IEEE)
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Determining the best partitioning structure for a given Coding Tree Unit (CTU) is one of the most time consuming operations within the HEVC encoder. The brute force search through quadtree hierarchy has a significant impact on the encoding time of high definition (HD) videos. This paper presents a fast coding unit size decision-taking algorithm for intra prediction in HEVC. The proposed algorithm utilizes a low complex texture analysis technique based on the local range property of a pixel in a given neighborhood. Simulation results show that the proposed algorithm achieves an average of 72.24% encoding time efficiency improvement with similar rate distortion performance compared to HEVC reference software HM12.0 for HD videos.
2014 IEEE International Conference on Multimedia and Expo (ICME);
Mallikarachchi, T., Fernando, A. and Arachchi, H.K. (2014) 'Efficient coding unit size selection based on texture analysis for HEVC intra prediction', IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, pp. 1-6. DOI: 10.1109/ICME.2014.6890319.
Conference paper published in 2014 IEEE International Conference on Multimedia and Expo (ICME), available at: https://doi.org/10.1109/ICME.2014.6890319.