DocumentCode :
3093041
Title :
Fuelling Big Data Intelligence into Future Multimedia System: Reflection and Outlook
Author :
Yonggang Wen ; Wenwu Zhu
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2015
fDate :
20-22 April 2015
Firstpage :
1
Lastpage :
4
Abstract :
The last decade has witnessed an explosive growth in multimedia big data, with the invention of big data analytics technologies, such as Hadoop, Spark, Storm. All these technologies are valuable to mine intelligence from multimedia big data, and further shed new insights into multimedia networks. This paper presents an outlook on the development of future multimedia networks and discuss utilizing the big data intelligence into the design and optimization. We start with an end-to-end view for future multimedia networks, including contents, multimedia networks, and consumers. For each part, we enumerate several representative applications and technologies that bring new challenges and opportunities. After that, we discuss the common idea of utilizing the big data intelligence to benefit the whole ecosystem, and highlight some open research issues for the future.
Keywords :
Big Data; data analysis; data mining; multimedia computing; parallel processing; Hadoop; Spark; Storm; big data analytics technologies; big data intelligence; future multimedia system; intelligence mining; multimedia big data; multimedia networks; representative applications; Big data; Cameras; Media; Multimedia communication; Optimization; Streaming media; Big Data Analytics; Future Multimedia Communication; SDN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-8687-3
Type :
conf
DOI :
10.1109/BigMM.2015.21
Filename :
7153835
Link To Document :
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