Efficient coding unit size selection based on texture analysis for HEVC intra prediction

Mallikarachchi, T, Fernando, A and Kodikara Arachchi, H (2014) Efficient coding unit size selection based on texture analysis for HEVC intra prediction In: IEEE International Conference on Multimedia and Expo, 2014-07-14 - 2014-07-18, Chengdu, PEOPLES R CHINA.

Preview	Text ICME2014-EFFICIENT CODING UNIT SIZE SELECTION BASED ON TEXTURE ANALYSIS ....pdf - ["content_typename_Accepted version (post-print)" not defined] Available under License : See the attached licence file. Download (508kB) | Preview
Preview	Text (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

Abstract

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.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :	Name Email ORCID Mallikarachchi, T Fernando, A Kodikara Arachchi, H
Date :	14 July 2014
DOI :	10.1109/ICME.2014.6890319
Additional Information :	© 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.
Depositing User :	Symplectic Elements
Date Deposited :	01 Dec 2015 17:05
Last Modified :	31 Oct 2017 17:48
URI:	http://epubs.surrey.ac.uk/id/eprint/809051

Actions (login required)

View Item

Downloads