Real-time video streaming in large-scale collaborative virtual environment

In this dissertation, various methods of CVE video streaming strategies and face recognition algorithms have been explored and examined. It covers face recognition by facial feature or by color and face detection by motion. To achieve better performance and best integration with our Collaborative Vi...

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Bibliographic Details
Main Author:	Wang, Yingli.
Other Authors:	Lin, Qingping
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Online Access:	http://hdl.handle.net/10356/3705
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-3705
record_format	dspace
spelling	sg-ntu-dr.10356-37052023-07-04T16:27:59Z Real-time video streaming in large-scale collaborative virtual environment Wang, Yingli. Lin, Qingping School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems In this dissertation, various methods of CVE video streaming strategies and face recognition algorithms have been explored and examined. It covers face recognition by facial feature or by color and face detection by motion. To achieve better performance and best integration with our Collaborative Virtual Environment (CVE), a live facial image extraction based video streaming approach combining both color and motion analysis has been proposed and implemented in this project. Master of Science (Communications and Computer Networking) 2008-09-17T09:35:35Z 2008-09-17T09:35:35Z 2000 2000 Thesis http://hdl.handle.net/10356/3705 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems Wang, Yingli. Real-time video streaming in large-scale collaborative virtual environment
description	In this dissertation, various methods of CVE video streaming strategies and face recognition algorithms have been explored and examined. It covers face recognition by facial feature or by color and face detection by motion. To achieve better performance and best integration with our Collaborative Virtual Environment (CVE), a live facial image extraction based video streaming approach combining both color and motion analysis has been proposed and implemented in this project.
author2	Lin, Qingping
author_facet	Lin, Qingping Wang, Yingli.
format	Theses and Dissertations
author	Wang, Yingli.
author_sort	Wang, Yingli.
title	Real-time video streaming in large-scale collaborative virtual environment
title_short	Real-time video streaming in large-scale collaborative virtual environment
title_full	Real-time video streaming in large-scale collaborative virtual environment
title_fullStr	Real-time video streaming in large-scale collaborative virtual environment
title_full_unstemmed	Real-time video streaming in large-scale collaborative virtual environment
title_sort	real-time video streaming in large-scale collaborative virtual environment
publishDate	2008
url	http://hdl.handle.net/10356/3705
_version_	1772828556077826048

Real-time video streaming in large-scale collaborative virtual environment

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