ISSN2456-3315
Impact Factor10.57
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CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Semantic Event Detection In Videos
Authors
Osheen T J , Amrutha N , Linda Sara Mathew , Aby Abhahai
Keywords
CNN, Tensorflow, SVM
Abstract
The redundancy of the information in a video contents can be reduced using the process of video event detection. Here the aim is to construct a reliable and scalable solutions for the large scale video event detection systems. With the analytical and statistical learning models used for the existing event detection procedures, its focusing on the low level features of video content. In such methods, the capability of analyzing and interpreting the content of complex video events lacks accuracy. So, the intermediary-level representation of semantic concept of real time events has been introduced as a method for perceiving video events. High accuracy can only be achieved when various features including the high level and low level features of different modalities is used. Event identification can be used effectively in real time video processing technologies. Hence, accuracy rate has to be improved using the newly introduced methodology.
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IJRTI — journal style
"Semantic Event Detection In Videos", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 3, page no.40 - 43, March-2019, Available :https://ijrti.org/papers/IJRTI1903009.pdf
APA — 7th edition
J, O. T., N, A., Mathew, L. S., & Abhahai, A. (2019). Semantic Event Detection In Videos. International Journal for Research Trends and Innovation, 4(3), 40 - 43. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009
MLA — 9th edition
J, Osheen T, et al. "Semantic Event Detection In Videos." International Journal for Research Trends and Innovation, vol. 4, no. 3, 2019, pp. 40 - 43, https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009.
Chicago — 17th, bibliography
J, Osheen T, et al. "Semantic Event Detection In Videos." International Journal for Research Trends and Innovation 4, no. 3 (2019): 40 - 43. https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009.
Harvard — author–date
J, O.T. et al. (2019) 'Semantic Event Detection In Videos', International Journal for Research Trends and Innovation, 4(3), pp. 40 - 43. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009
IEEE — numbered reference
O. T. J, A. N, L. S. Mathew and A. Abhahai, "Semantic Event Detection In Videos," IJRTI, vol. 4, no. 3, pp. 40 - 43, Mar. 2019.
Vancouver — biomedical
J OT, N A, Mathew LS, Abhahai A. Semantic Event Detection In Videos. IJRTI. 2019 Mar;4(3):40 - 43.
AMA — 11th edition
J OT, N A, Mathew LS, Abhahai A. Semantic Event Detection In Videos. IJRTI. 2019;4(3):40 - 43. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1903009,
author = {Osheen T J and Amrutha N and Linda Sara Mathew and Aby Abhahai},
title = {Semantic Event Detection In Videos},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {3},
pages = {40 - 43},
year = {2019},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - J, Osheen T
AU - N, Amrutha
AU - Mathew, Linda Sara
AU - Abhahai, Aby
TI - Semantic Event Detection In Videos
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 3
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009
SP - 40
EP - 43
ER -
Issue
Volume 4 Issue 3,
March-2019
Pages : 40 - 43
Other Publication Details
Paper Reg. ID
IJRTI_180702
Published Paper ID
IJRTI1903009
Downloads
205,615
Research Area
Engineering
Country
Ernakulam, Kerala, india
Published
March 2019
Published Paper PDF
https://ijrti.org/papers/IJRTI1903009.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI1903009
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
