EFFICIENT CODING UNIT SIZE SELECTION BASED ON TEXTURE ANALYSIS FOR.pdf (496.43 kB)
Efficient Coding Unit Size Selection Based on Texture Analysis for HEVC Intra Prediction
conference contribution
posted on 2022-04-29, 10:18 authored by Thanuja MallikarachchiThanuja Mallikarachchi, Anil Fernando, Hemantha Kodikara ArachchiDetermining 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.
History
Presented at
Conference paper published in 2014 IEEE International Conference on Multimedia and Expo (ICME)Published in
2014 IEEE International Conference on Multimedia and Expo (ICME)Publisher
IEEEVersion
- AM (Accepted Manuscript)
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.Print ISSN
1945-7871Electronic ISSN
1945-788XCardiff Met Affiliation
- Cardiff School of Technologies
Cardiff Met Authors
Thanuja MallikarachchiCopyright Holder
- © The Publisher
Publisher Rights Statement
© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.”Language
- en