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

Authors(2) :-Abdul Kader Nihal K N, Dr. A.R. Mohamed Shanawas

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 1 | Issue 4 | July-August 2015
Date of Publication : 2015-08-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 78-82
Manuscript Number : IJSRSET151410
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

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.
Journal URL : http://ijsrset.com/IJSRSET151410

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