Frontier Computing pp 1147-1152 | Cite as
The Intelligent Big Data Analytics Framework for Surveillance Video System
Abstract
Currently, with the explosion of multimedia data (image, video and audio) from remote sensors, mobile image captures, social sharing, the web, TV shows and movies, huge volume of images are being generated and consumed daily. The availability of massive images has created fundamental challenges to image processing and analysis. Big Data is a term used to refer to massive and complex datasets made up of a variety of data structures, including structured, semi-structured, and unstructured data. To address these challenges, we propose a model design methodology using collective intelligence for big data analytics. The data and data-transfer contracts then become the primary organizing constructs. With controlled data relations and timing, the system can then be built from independent agents with loosely coupled behaviors. This data-driven design technique is naturally supported by the Data Distribution Service (DDS) specification, which is a standard from the Object Management Group.
Keywords
Big data Surveillance video system HadoopNotes
Acknowledgments
This work was supported in part by the National Science and Technology Major Project under Grant 2013ZX01033002-003, in part by the National High Technology Research and Development Program of China (863 Program) under Grant 2013AA014601, 2013AA014603, in part by National Key Technology Support Program under Grant 2012BAH07B01, in part by the National Science Foundation of China under Grant 61300202, 61300028, in part by the Project of the Ministry of Public Security under Grant 2014JSYJB009, in part by the China Postdoctoral Science Foundation under Grant 2014M560085, and in part by the Science Foundation of Shanghai under Grant 13ZR1452900.
References
- 1.Luo X, Xu Z, Yu J, Chen X (2011) Building association link network for semantic link on web resources. IEEE Trans Autom Sci Eng 8(3):482–494CrossRefGoogle Scholar
- 2.Liu Y, Ni L, Hu C (2012) A generalized probabilistic topology control for wireless sensor networks. IEEE J Sel Areas Commun 30(9):1780–1788CrossRefGoogle Scholar
- 3.Hu C, Xu Z et al (2014) Semantic link network based model for organizing multimedia big data. IEEE Trans Emerg Top Comput 2(3):376–387MathSciNetCrossRefGoogle Scholar
- 4.Liu X, Yang Y, Yuan D, Chen J (2013) Do we need to handle every temporal violation in scientific workflow systems. ACM Trans Softw Eng MethodolGoogle Scholar
- 5.Wang L, Tao J et al (2013) G-Hadoop: MapReduce across distributed data centers for data-intensive computing. Future Gener Comput Syst 29(3):739–750CrossRefGoogle Scholar
- 6.Xu Z et al (2015) Knowle: a semantic link network based system for organizing large scale online news events. Future Gener Comput Syst 43–44:40–50CrossRefGoogle Scholar
- 7.Talia D (2013) Clouds for scalable big data analytics. Computer 46(5):98–101CrossRefGoogle Scholar
- 8.Marx V (2013) Biology: the big challenges of big data. Nature 498(7453):255–260CrossRefGoogle Scholar
- 9.Jacobs A (2009) The pathologies of big data. Commun ACM 52(8):36–44CrossRefGoogle Scholar