Effective Coding Unit Size Decision Based on Motion Homogeneity Classification for HEVC
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.
Presented atConference paper published in 2014 IEEE International Conference on Image Processing (ICIP)
Published in2014 IEEE International Conference on Image Processing (ICIP)
VersionAM (Accepted Manuscript)
CitationMallikarachchi, 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.
Cardiff Met Affiliation
- Cardiff School of Technologies