Efficient Coding Unit Size Selection Based on Texture Analysis for HEVC Intra Prediction

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Author
Mallikarachchi, Thanuja
Fernando, Anil
Kodikara Arachchi, Hemantha
Date
2014-07-14Acceptance date
2014
Type
Conference paper
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Metadata
Show full item recordAbstract
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.
Journal/conference proceeding
2014 IEEE International Conference on Multimedia and Expo (ICME);
Citation
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.
Description
Conference paper published in 2014 IEEE International Conference on Multimedia and Expo (ICME), available at: https://doi.org/10.1109/ICME.2014.6890319.