Effective Coding Unit Size Decision Based on Motion Homogeneity Classification for HEVC
Kodikara Arachchi, Hemantha
Institute of Electrical and Electronics Engineers (IEEE)
MetadataShow full item record
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 quad tree hierarchy has a significant impact on the encoding time especially on high definition (HD) videos. This paper presents a fast coding unit size decision-taking algorithm for inter prediction in HEVC. The proposed algorithm uses a motion homogeneity based classification approach utilizing RD cost as a feature vector. Simulation results show that the proposed algorithm achieves an average of 73.25% encoding time efficiency improvement with similar rate distortion performance compared to HEVC HM12.0 reference software.
2014 IEEE International Conference on Image Processing, ICIP;
Mallikarachchi, T., Fernando, A. and Arachchi, H.K. (2014) 'Effective coding unit size decision based on motion homogeneity classification for HEVC inter prediction', IEEE International Conference on Image Processing (ICIP), Paris, France, 27-30 October, pp. 3691-3695. DOI: 10.1109/ICIP.2014.7025749.
Conference paper published in 2014 IEEE International Conference on Image Processing (ICIP), available at: https://doi.org/10.1109/ICIP.2014.7025749.