Multi-View with Salient Depth Video via High Efficiency Video Coding Technique

Multi-view plus depth (MVD) video are scenes captured from multiple camera angles and often associated with its depth videos. MVD video is categorized as a type of 3D video. When dealing with MVD video delivery in a 3D video transmission, often it requires huge data transmission rates since multiple...

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Main Author:	Mohd Noor, Norul U’yuun
Format:	Thesis
Published:	2016
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.6366
record_format	uketd_dc
spelling	my-mmu-ep.63662016-09-23T06:01:33Z Multi-View with Salient Depth Video via High Efficiency Video Coding Technique 2016-02 Mohd Noor, Norul U’yuun TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Multi-view plus depth (MVD) video are scenes captured from multiple camera angles and often associated with its depth videos. MVD video is categorized as a type of 3D video. When dealing with MVD video delivery in a 3D video transmission, often it requires huge data transmission rates since multiple videos are to be delivered simultaneously. The completion of the latest video compression standard known as High Efficiency Video Coding (HEVC) compression method was introduced recently in order to tackle the issue of delivering high quality 3D videos without affecting the transmission rate and quality of the 3D video. A method of depth video compression is proposed for the MVD video. The proposed method involves applying the Reduced Resolution Depth Coding (RRDC) method onto depth videos in MVD videos. The RRDC method reduces the resolution of the depth videos by utilizing the Down-Sampling Up-Sampling (DSUS) method. The proposed method manages to obtain bit rate savings that ranges from 13% to 32% for the synthesis view of the two views plus depth videos compared to the synthesis view of two views plus depth videos without applying the DSUS method. In a scene of an image or a video, the region where users tend to put more focus on while viewing the scene is known as the saliency region. The human visual system (HVS) tends to put more focus on salient region since the human brain does not have the capacity to process huge loads of information presented in the scene. A number of saliency models based on the HVS have already been developed, however very few focuses on the saliency model based on depth videos. A method of saliency depth video (SDV) is proposed, utilizing selected saliency map features and fusing them onto depth video sequences. The proposed method of SDV is used with MVD video resulting in a multi-view plus saliency depth video (MVD-SDV). The MVD-SDV is further compressed utilizing HEVC compression method. 2016-02 Thesis http://shdl.mmu.edu.my/6366/ http://library.mmu.edu.my/diglib/onlinedb/dig_lib.php masters Multimedia University Faculty of Engineering
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Mohd Noor, Norul U’yuun Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
description	Multi-view plus depth (MVD) video are scenes captured from multiple camera angles and often associated with its depth videos. MVD video is categorized as a type of 3D video. When dealing with MVD video delivery in a 3D video transmission, often it requires huge data transmission rates since multiple videos are to be delivered simultaneously. The completion of the latest video compression standard known as High Efficiency Video Coding (HEVC) compression method was introduced recently in order to tackle the issue of delivering high quality 3D videos without affecting the transmission rate and quality of the 3D video. A method of depth video compression is proposed for the MVD video. The proposed method involves applying the Reduced Resolution Depth Coding (RRDC) method onto depth videos in MVD videos. The RRDC method reduces the resolution of the depth videos by utilizing the Down-Sampling Up-Sampling (DSUS) method. The proposed method manages to obtain bit rate savings that ranges from 13% to 32% for the synthesis view of the two views plus depth videos compared to the synthesis view of two views plus depth videos without applying the DSUS method. In a scene of an image or a video, the region where users tend to put more focus on while viewing the scene is known as the saliency region. The human visual system (HVS) tends to put more focus on salient region since the human brain does not have the capacity to process huge loads of information presented in the scene. A number of saliency models based on the HVS have already been developed, however very few focuses on the saliency model based on depth videos. A method of saliency depth video (SDV) is proposed, utilizing selected saliency map features and fusing them onto depth video sequences. The proposed method of SDV is used with MVD video resulting in a multi-view plus saliency depth video (MVD-SDV). The MVD-SDV is further compressed utilizing HEVC compression method.
format	Thesis
qualification_level	Master's degree
author	Mohd Noor, Norul U’yuun
author_facet	Mohd Noor, Norul U’yuun
author_sort	Mohd Noor, Norul U’yuun
title	Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
title_short	Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
title_full	Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
title_fullStr	Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
title_full_unstemmed	Multi-View with Salient Depth Video via High Efficiency Video Coding Technique
title_sort	multi-view with salient depth video via high efficiency video coding technique
granting_institution	Multimedia University
granting_department	Faculty of Engineering
publishDate	2016
_version_	1747829635311206400

Multi-View with Salient Depth Video via High Efficiency Video Coding Technique

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