Effective Video content Retrieval using Image attribute standards

Saravanan Devaraj

Research Article

Effective Video content Retrieval using Image attribute standards

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@ARTICLE{10.4108/eai.12-6-2018.154818,
    author={Saravanan Devaraj},
    title={Effective Video content Retrieval using Image attribute standards},
    journal={EAI Endorsed Transactions on Energy Web and Information Technologies},
    volume={5},
    number={18},
    publisher={EAI},
    journal_a={EW},
    year={2018},
    month={6},
    keywords={Data mining, Key frame image, Image pixel, Color values, Histogram, Clustering, Hierarchical Clustering Image extraction.},
    doi={10.4108/eai.12-6-2018.154818}
}

Saravanan Devaraj
Year: 2018
Effective Video content Retrieval using Image attribute standards
EW
EAI
DOI: 10.4108/eai.12-6-2018.154818

Saravanan Devaraj¹^,*

1: The ICFAI Foundation for Higher Education(Deemed –to-be-University), IBS Hyderabad, Telangana, India

*Contact email: sa_roin@yahoo.com

Abstract

Technology brings the important of image retrieval for various operations like education, defense, medical and more. Creation of video files are very easy to any user , retrieve the same is one of the major challenge for user community. Retrieve the particular image files really a complex process for user, for this user need a specific domain knowledge are required. This leads to an urgent focus on imager retrieval process, there are various existing algorithm are available, all of these works for particular video set only, none of this never work for all set of video files. In the proposed technique new video data retrieval technique proposed with help of image pixel values. First images are trained for extraction , during this UN wanted images are removed using pixel difference. After removing noisy data image frames are grouped and stored separately for further operations. The proposed technique works well for all type of video files, experiments verify this.

Keywords: Data mining, Key frame image, Image pixel, Color values, Histogram, Clustering, Hierarchical Clustering Image extraction.

Received: 18th Apr 2018
Accepted: 7th May 2018
Published: 12th Jun 2018
Publisher: EAI

: http://dx.doi.org/10.4108/eai.12-6-2018.154818

Copyright © 2018 Saravanan Devaraj, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.