|Table of Contents|

Analysis and Evaluation on the Virtual-Real FusionSurveillance Video Compression Method(PDF)

《南京师大学报(自然科学版)》[ISSN:1001-4616/CN:32-1239/N]

Issue:
2016年03期
Page:
130-
Research Field:
·地理学·
Publishing date:

Info

Title:
Analysis and Evaluation on the Virtual-Real FusionSurveillance Video Compression Method
Author(s):
Xie Yujia123Liu Xuejun123
(1.School of Geography Science,Nanjing Normal University,Nanjing 210023,China)(2.MOE Key Laboratory of Virtual Geographic Environment,Nanjing 210023,China)(3.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development an
Keywords:
virtual scenevirtual reality fusionsurveillance videovideo compression
PACS:
P208
DOI:
10.3969/j.issn.1001-4616.2016.03.022
Abstract:
On the basis of describing the idea of the virtual-real surveillance video compression method,this paper describes the technique process of the compression method,proposes the relative evaluation factors,and constructs the evaluation model. The experimental results have shown that,the impact from the time scale factor is conditioned by the appearance of the prospect of moving target. When there is no moving target,the compression rate of unit-time length is higher than the compression rate of cumulative-time length;when there are some moving targets,the compression rate of cumulative-time length is higher than the compression rate of unit-time length. The impact from the compression level factor is remarkable. Comparing to the compression rate of image projection fusion style,the compression rate of object projection style is less than 1%. Comparing to the compression rate of fore-ground independent and prospect projection styles,the compression rate of prospect abstraction projection style is less than 1%.

References:

[1] MILOSAVLJEVIC ′ A,RANC ˇ IC ′ D,DIMITRIJEVIC ′ A,et al. Integration of GIS and video surveillance[J]. International journal of geographical information science,2016,30(10):1-19.
[2] WANG Y,KRUM D M,COELHO E M,et al. Contextualized videos:combining videos with environment models to support situational understanding[J]. IEEE transactions on visualization and computer graphics,2007,13(6):1 568-1 575.
[3] de HAAN G,SCHEUER J,de VRIES R,et al. Egocentric navigation for video surveillance in 3d virtual environments[C]//3D User Interfaces 2009,Lafayette,Louisiana,USA. USA:IEEE,2009:103-110.
[4] CHEN K W,LEE P J,HUNG Y P. Egocentric view transition for video monitoring in a distributed camera network[C]//The 16th International Conference on Multimedia Modeling,Chongqing,China. Germany:Springer Berlin Heidelberg,2011:171-181.
[5] WANG Y,BOWMAN D A. Effects of navigation design on contextualized video interfaces[C]//3D User Interfaces 2011,Singapore. USA:IEEE,2011:27-34.
[6] LEWIS P,FOTHERINGHAM S,WINSTANLEY A. Spatial video and GIS[J]. International journal of geographical information science,2011,25(5):697-716.
[7] WANG X. Intelligent multi-camera video surveillance:a review[J]. Pattern recognition letters,2013,34(1):3-19.
[8] YANG Y,CHANG M C,TU P,et al. Seeing as it happens:real time 3D video event visualization[C]//International Conference on Image Processing 2015,Quebec City,Canada. USA:IEEE,2015:2 875-2 879.
[9] BAKLOUTI M,CHAMFRAULT M,BOUFARGUINE M,et al. Virtu4D:a dynamic audio-video virtual representation for surveillance systems[C]//3rd International Conference on Signals,Circuits and Systems,Medenine,Tunisia. USA:IEEE,2009:1-6.
[10] GIRGENSOHN A,KIMBER D,VAUGHAN J,et al. DOTS:support for effective video surveillance[C]//Proceedings of the 15th International Conference on Multimedia,Augsburg,Germany. Germany:ACM Multimedia,2007:423-432.
[11] TAKEHARA T,NAKASHIMA Y,NITTA N,et al. Digital diorama:sensing-based real-world visualization[C]//International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems,Dortmund,Germany. Germany:Springer Berlin Heidelberg,2010:663-672.

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Last Update: 2016-09-30