New application of MV-and 3D-HEVC for multi-intensity illuminated infrared video coding

Chia Hsin Chan, Chiang Teng, Jen-Hui Chuang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

MV-HEVC and 3D-HEVC are the extensions of High Efficiency Video Coding (HEVC) originally designed for Multi-view and 3D video coding respectively. In this paper we reveal a new application of using these video coding standards, i.e., to compress the Multi-Intensity Illuminated Infrared (MIIR) video, a new type of infrared video developed to overcome the limitation of improper illumination conditions for nighttime surveillance. With the proposed encoding method for the MIIR video, the coding structures of MV-and 3D-HEVC can compress such video in a more efficient way, i.e., up to 13.2%/17.6% bitrate reductions with MV/3D-HEVC compared with standalone HEVC compression and 64.4%/68.7% bitrate reductions compared with simulcast HEVC coding. Experiment results also reveal that weighted prediction algorithm in HEVC can be improved to deal with large change of brightness in the MIIR video.

Original languageEnglish
Title of host publicationVCIP 2016 - 30th Anniversary of Visual Communication and Image Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509053162
DOIs
StatePublished - 4 Jan 2017
Event2016 IEEE Visual Communication and Image Processing, VCIP 2016 - Chengdu, China
Duration: 27 Nov 201630 Nov 2016

Publication series

NameVCIP 2016 - 30th Anniversary of Visual Communication and Image Processing

Conference

Conference2016 IEEE Visual Communication and Image Processing, VCIP 2016
CountryChina
CityChengdu
Period27/11/1630/11/16

Keywords

  • 3D-HEVC
  • HEVC
  • infrared video
  • Multi-view HEVC
  • video compression

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    Chan, C. H., Teng, C., & Chuang, J-H. (2017). New application of MV-and 3D-HEVC for multi-intensity illuminated infrared video coding. In VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing [7805547] (VCIP 2016 - 30th Anniversary of Visual Communication and Image Processing). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VCIP.2016.7805547