A Novel Video Compression Prototype for Large Scale Videos using Content Mining Techniques

Authors

  • Abdul Kader Nihal K N  Department of Computer Science, Jamal Mohamed College, Tamil Nadu, India
  • Dr. A.R. Mohamed Shanawas  Department of Computer Science, Jamal Mohamed College, Tamil Nadu, India

Keywords:

Video Compression, Loosely Compression, Frame, JPEG, Content Mining, Data Mining

Abstract

The video compression became one of the mandatory elements in the modern digital technology so that the large-scale video should be compressed in order to serve high density digital videos that are transmitted over even on low bandwidth network carriers. The existing video compression techniques are not adequate in order to support high speed transmission needs of video transfer, particularly in medical and defense sector. In this paper, the authors analyzed the existing video compression techniques along with pros and cons. Then, the authors proposed a novel video compression prototype for compressing large scale videos using data mining techniques, which falls under loosely compression. However, the Proof-of-Concept (PoC) and result interpretation shows that the proposed video compression is at least five times better than the available video compression techniques for large scale video compression.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2015-08-25

Issue

Volume 1, Issue 4, July-August-2015

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Abdul Kader Nihal K N, Dr. A.R. Mohamed Shanawas "A Novel Video Compression Prototype for Large Scale Videos using Content Mining Techniques" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.78-82, July-August-2015.