Browsing by Author "Teng, Chiang"

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MULTI-INTENSITY ILLUMINATED INFRARED VIDEO COMPRESSION USING MV-HEVC AND 3D-HEVC
(2017-01-01)
Chan, Chia-Hsin
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Teng, Chiang
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Chuang, Jen-Hui
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資訊工程學系
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Department of Computer Science
Multi-Intensity Illuminated Infrared (MIIR) video is a new type of infrared video which solves the problem of improper illumination conditions for ordinary infrared cameras for nighttime surveillance. However, its time-varying intensity makes it hard to be compressed with traditional video coding methods. In this paper we use MV-HEVC and 3D-HEVC video coding standards, which are originally designed for Multi-view and 3D video coding, to compress the MIIR videos. With the proposed encoding method, the coding structures of MY-and 3D-HEVC can be employed to compress the MIIR video in a more efficient way. Experimental results show that the coding structures of MY and 3D-HEVC can compress such video in a more efficient way, i.e., up to 43.8%/50.1% bitrate reductions with MV/3D-HEVC compared with standalone HEVC compression and 74.3%/80.5% bitrate reductions compared with simulcast HEVC coding in the enhancement layers.
New Application of MV-and 3D-HEVC for Multi-Intensity Illuminated Infrared Video Coding
(2016)
Chan, Chia-Hsin
;
Teng, Chiang
;
Chuang, Jen-Hui
;
資訊工程學系
;
Department of Computer Science
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 MDR video, the coding structures of MV- and 3D-HEVC can compress such video in a more efficient way, i.e., up to 13.2%117.6% 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.