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:
JETIRFE06034


Registration ID:
316944

Page Number

187-192

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Title

VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION

Abstract

Video resemblance checking is the most time-consuming and cost-effective operation if you have a huge database. As the demand for visual information of rich material develops, effective and rapid manipulations of large video datasets are becoming increasingly desirable. There have been numerous experiments on content-based video retrieval. Despite its utility, video subsequence identification, which entails locating information in a long video sequence that is comparable to a brief query clip, has gotten little attention. This paper provides a graph transformation and matching solution to this problem, with the purpose of detecting potential changes in ordering. The mapping relationship between the query and database video is initially represented by a bipartite graph, which is then used to locate similar frames using a novel batch query approach. Using a Boolean search, the closely matching chunks of the long sequence are then retrieved, and certain irrelevant subsequences are pruned. Maximum Size Matching reduces the amount of candidates by generating subgraphs from the query and candidate subsequences during the filtering stage. Using a complete video similarity model that takes into consideration visual content, temporal order, and frame alignment information, Sub-Maximum Similarity Matching is employed during the refinement process to determine the subsequence with the highest aggregate score among all candidates.

Key Words

VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION

Cite This Article

"VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.187-192, February-2019, Available :http://www.jetir.org/papers/JETIRFE06034.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

"VIDEO BASED QUERY PROCESSING USING A GRAPH TRANSFORMATION AND MATCHING SOLUTION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp187-192, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06034.pdf

Publication Details

Published Paper ID: JETIRFE06034
Registration ID: 316944
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 187-192
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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