ew 18(18): e8

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.