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

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Published Paper ID:
JETIRFE06035


Registration ID:
316943

Page Number

193-198

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Title

PROCESSING VIDEO-BASED QUERIES IN A VIDEO STREAM

Abstract

If you have a large database, video resemblance checking is the most time-consuming and cost-effective task. Effective and fast manipulations of big video datasets are becoming increasingly desirable as the demand for visual information of rich content grows. Many studies on content-based video retrieval have been conducted. Despite its usefulness, video subsequence identification, which involves finding information that is comparable to a small query clip in a large video sequence, has received little attention. This work proposes a graph transformation and matching solution to this problem, with the goal of detecting the occurrence of potentially changed ordering or length as a result of content alteration. The mapping link between the query and database video is initially represented by a bipartite graph using a novel batch query approach to find related frames. The closely matched sections of the long sequence are then retrieved, and certain irrelevant subsequences are pruned using a filter-and-refine search approach. Maximum Size Matching is used during the filtering stage to reduce the number of candidates by constructing subgraphs from the query and candidate subsequence. Sub-Maximum Similarity Matching is used during the refinement step to find the subsequence with the highest aggregate score among all candidates, using a comprehensive video similarity model that takes into account visual content, temporal order, and frame alignment information.

Key Words

PROCESSING VIDEO-BASED QUERIES IN A VIDEO STREAM

Cite This Article

"PROCESSING VIDEO-BASED QUERIES IN A VIDEO STREAM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.193-198, February-2019, Available :http://www.jetir.org/papers/JETIRFE06035.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

"PROCESSING VIDEO-BASED QUERIES IN A VIDEO STREAM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp193-198, February-2019, Available at : http://www.jetir.org/papers/JETIRFE06035.pdf

Publication Details

Published Paper ID: JETIRFE06035
Registration ID: 316943
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 193-198
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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