UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIRFE06036


Registration ID:
316942

Page Number

199-203

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Title

Novel search algorithms based duplicate detection

Abstract

Using video fingerprinting, we offer a quick and effective approach for locating duplicate videos in a huge database. To make fingerprints, researchers used the colour layout descriptor, a frame-based descriptor that is further encoded using vector quantization (VQ). We present a novel nonmetric distance measure for identifying the similarity between a query and a database video fingerprint, and show that it beats existing distance measures in detecting duplicates with high accuracy. Existing indexing algorithms are unable to perform successful searches for high-dimensional data when employing a nonmetric distance measure. As a consequence, we create new search algorithms based on pre-computed distances, as well as new dataset pruning processes that allow for faster retrieval times. To conduct our research, we used a collection of 38 000 videos totalling 1600 hours of data. On an Intel Xeon with CPU 2.33 GHz, the replica video is delivered in 0.032 seconds, with a 97.5 percent accuracy, for independent queries with an average time of 60 seconds (about half of the typical database video length).

Key Words

Novel search algorithms based duplicate detection

Cite This Article

"Novel search algorithms based duplicate detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.199-203, February-2019, Available :http://www.jetir.org/papers/JETIRFE06036.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Novel search algorithms based duplicate detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp199-203, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06036.pdf

Publication Details

Published Paper ID: JETIRFE06036
Registration ID: 316942
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 199-203
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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