EFFICIENT CODING UNIT SIZE SELECTION BASED ON TEXTURE ANALYSIS FOR.pdf (496.43 kB)
Download file

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

Download (496.43 kB)
conference contribution
posted on 29.04.2022, 10:18 authored by Thanuja MallikarachchiThanuja Mallikarachchi, Anil Fernando, Hemantha Kodikara Arachchi

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. 

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

IEEE

Version

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

1945-7871

Electronic ISSN

1945-788X

Cardiff Met Affiliation

  • Cardiff School of Technologies

Cardiff Met Authors

Thanuja Mallikarachchi

Copyright 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