FILE FORMAT CONVERTER: AVI TO 3GP USING HADOOP MAP REDUCE FRAMEWORK

Authors

  • R.Renuga UG HOD, CIT Sandwich Polytechnic College Civil Aerodrome Post, Coimbatore-641014. Author

Keywords:

Hadoop distributed file system, Hadoop map reduce, data nodes, name nodes, Tracker

Abstract

Digital data like images, videos contribute the major part of todays life .These data (videos) are available at various formats and in huge size. For the portable usage in many digital devices like pda, mobile phones, the video format has to be converted into a format acceptable by those devices (say 3gp in mobile phones). Conversion from one format to the other, consumes more time. So power of distributed processing is used. Hence HADOOP MAP REDUCE technique performs the conversion operation in less time and in an efficient way.

References

Hadoop 0.20 Documentation

http://hadoop.apache.org/mapreduce/

IEEE paper on ”A Design of Grid Supported Services for Mobile Learning System” by M. Norazizi Sham Mohd Sayuti, Universiti Sains Islam Malaysia (USIM)

“Supplementary Video S1.avi.”

“Information technology. UPnP Device Architecture.”

“IEEE Standard for Advanced Audio and Video Coding.”

M. Camras, “Experiments with electron scanning for magnetic recording and playback of video,” IEEE Transactions on Audio, vol. AU-11, no. 3, pp. 93–96, May 1963.

Koehler, Stephan. Video Streams in a Computing Grid. 2010.

Published

2014-07-23

How to Cite

R.Renuga. (2014). FILE FORMAT CONVERTER: AVI TO 3GP USING HADOOP MAP REDUCE FRAMEWORK. International Journal of Computer Science and Engineering Research and Development (IJCSERD), 1(3), 1-4. https://ijcserd.in/index.php/home/article/view/IJCSERD_01_03_001