Document Type

Article

Department or Administrative Unit

Computer Science

Publication Date

4-9-2017

Abstract

Nowadays, HEVC is the cutting edge encoding standard being the most efficient solution for transmission of video content. In this paper a subjective quality improvement based on pre-processing algorithms for homogeneous and chaotic regions detection is proposed and evaluated for low bit-rate applications at high resolutions. This goal is achieved by means of a texture classification applied to the input frames. Furthermore, these calculations help also reduce the complexity of the HEVC encoder. Therefore both the subjective quality and the HEVC performance are improved.

Comments

Please note: This is the author’s version of a work. Changes may have been made to this work since it was submitted for publication. This article was originally published in Proceedings of SPIE. The full-text article from the publisher can be found here.

Copyright 2017 Society of Photo‑Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this publication for a fee or for commercial purposes, and modification of the contents of the publication are prohibited.

Journal

Proceedings of SPIE

Rights

© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).

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