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A Survey on Content-Based Video Retrieval Techniques

Nagariya Maitree1 , U. K. Jaliya2 , M. S. Holia3

Section:Survey Paper, Product Type: Journal Paper
Volume-7 , Issue-2 , Page no. 878-883, Feb-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i2.878883

Online published on Feb 28, 2019

Copyright © Nagariya Maitree, U. K. Jaliya, M. S. Holia . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Nagariya Maitree, U. K. Jaliya, M. S. Holia, “A Survey on Content-Based Video Retrieval Techniques,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.878-883, 2019.

MLA Style Citation: Nagariya Maitree, U. K. Jaliya, M. S. Holia "A Survey on Content-Based Video Retrieval Techniques." International Journal of Computer Sciences and Engineering 7.2 (2019): 878-883.

APA Style Citation: Nagariya Maitree, U. K. Jaliya, M. S. Holia, (2019). A Survey on Content-Based Video Retrieval Techniques. International Journal of Computer Sciences and Engineering, 7(2), 878-883.

BibTex Style Citation:
@article{Maitree_2019,
author = {Nagariya Maitree, U. K. Jaliya, M. S. Holia},
title = {A Survey on Content-Based Video Retrieval Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {878-883},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3762},
doi = {https://doi.org/10.26438/ijcse/v7i2.878883}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.878883}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3762
TI - A Survey on Content-Based Video Retrieval Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - Nagariya Maitree, U. K. Jaliya, M. S. Holia
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 878-883
IS - 2
VL - 7
SN - 2347-2693
ER -

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Abstract

¬¬¬¬In the recent digital world, the amount of processing of videos is increasing rapidly. For this purpose, video retrieval systems are dominating today’s world. Video retrieval systems include proper analysis of videos for appropriate retrieval. The retrieval of videos can be done based on the text or annotation attached to it. But retrieval based on the content has become more influencing over text-based retrieval as it describes a video in a much better way than described by text. Content-based video retrieval systems analyze the contents of a video such as colour, texture, shape, etc. This system involves many stages with multiple techniques for each one as per the survey done till now. To analyze the different techniques, multiple datasets have been used containing videos of different categories. The best technique applied at each stage for frame extraction, feature extraction, classification and retrieval of videos makes the system more accurate and efficient.

Key-Words / Index Term

Video retrieval, Key-frame extraction, SURF, SIFT, BRISK, SVM

References

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