Video traffic analytics for large scale surveillance

被引：0
作者：
Soumen Kanrar
Niranjan Kumar Mandal
机构：
[1] Vehere Interactive Pvt Ltd,Department of Computer Science
[2] Vidyasagar University,undefined
来源：
Multimedia Tools and Applications | 2017年 / 76卷
关键词：
Interactive session; Video on demand; Surveillance; Mixed strategy; Topology; Compact space; Mesh structure; Hybrid architecture;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
The video traffic analysis is the most important issue for large scale surveillance. In the large scale surveillance system, huge amount of live digital video data is submitted to the storage servers through the number of externally connected scalable components. The system also contains huge amount of popular and unpopular old videos in the archived storage servers. The video data is delivered to the viewers, partly or completely on demand through a compact system. In real time, huge amount of video data is imported to the viewer’s node for various analysis purposes. The viewers use a number of interactive operations during the real time tracking suspect. The compact video on demand system is used in peer to peer mesh type hybrid architecture. The chunk of video objects move fast through the real time generated compact topological space. Video traffic analytics is required to transfer compressed multimedia data efficiently. In this work, we present a dynamically developed topological space, using mixed strategy by game approach to move the video traffic faster. The simulation results are well addressed in real life scenario.
引用
收藏
页码：13315 / 13342
页数：27
相关论文
共 36 条
[1]  
Ayesta U(2012)Sojourn times in a processor sharingqueue with multiple vacations Queueing Syst 71 53-78
[2]  
Hampapur A(2005)Smart video surveillance, exploring the concept of multiscale spatiotemporal tracking IEEE Signal Process Mag 22 38-51
[3]  
Jiang D(2014)How to reconstruct end –to-end traffic based on time-frequency analysis and artificial neural network AEU - Int J Electron Commun 68 915-925
[4]  
Jiang D(2014)A transform domain­based anomaly detection approach to network ­wide traffic J Netw Comput Appl 40 292-306
[5]  
Jiang D(2015)A novel hybrid prediction algorithm to network traffic Ann Telecommun 70 427-439
[6]  
Kanrar S(2011)Performance of distributed video on demand system for multirate traffic Int Conf ReTIS 2011 52-56
[7]  
Kanrar S(2014)Dynamic page replacement at the cache memory for the video on demand server Adv Comput Netw Inform 2 461-469
[8]  
Mandal NK(2015)Detect mimicry by enhancing the speaker recognition system Adv Intell Syst Comput 339 21-31
[9]  
Kanrar S(2015)Impact of threshold to identify vocal tract Adv Intell Syst Comput 404 97-105
[10]  
Kanrar S(2011)Detection of dominant flow and abnormal events in surveillance video Opt Eng 50 027202-1361
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