Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65801
Title: Surveillance video fast browsing
Authors: Wei, Hao
Keywords: DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2015
Abstract: In this paper, I will be introducing a video analysis technique namely Video Synopsis as well as a Privacy Preserving Framework for Surveillance Video Browsing. Basically, video synopsis helped to a great extent reducing the workload for a video reviewer to examine a particular video stream for useful information which is especially time-consuming. Video synopsis technique is able to transform a long cumbersome surveillance video into an abstracted essential video with all information from the detailed-based video analysis which generates and stores a set of object flags for further browsing use. Compare to the conventional surveillance video browsing, we have improved the video reviewing practice mainly in three ways: valuable scene highlighting, higher storage efficiency and multi-scale scalable browsing. Secondly, on the basis of video synopsis technique, we have purposed a privacy preserving framework on the moving object segmentation in the compressed domain for ease of ensuring the owner’s or service provider’s privacy information. Extensive experiments on H.264 standard bitstreams demonstrate considerable performance improvements in privacy preserving in the area of intelligent video surveillance.
URI: http://hdl.handle.net/10356/65801
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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This paper mainly present two topics namely video analysis technique - Video Synopsis as well as a Privacy Preserving Framework for Surveillance Video Browsing. 1.84 MBAdobe PDFView/Open

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