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Volume 3, Issue 5 (May 2017)

Semantic Based Video Hierarchy For Browsing Large Video Repositories

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

S.Naveenkumar Prof. C. Gunavathi

Abstract

The Quantity Of Recordings On The Internet Is Developing Dangerously, Which Represents An Extraordinary Test On Programmed Video Seek. Existing Video Web Indexes, For Example, YouTube, Imagine The Query Items With A Positioned List. The Straightforward Ru


Keywords

Sub-Ontology Hierarchy Co-Clustering Semantic Based.

Paper ID

IJSARTV3I514174

Publication Date

May 7, 2017

Research Area

Data Mining

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