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Role Identification in Movie using ECGM

S. S. Deore1

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 100-104, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.100104

Online published on Apr 30, 2019

Copyright © S. S. Deore . 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: S. S. Deore , “Role Identification in Movie using ECGM,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.100-104, 2019.

MLA Style Citation: S. S. Deore "Role Identification in Movie using ECGM." International Journal of Computer Sciences and Engineering 7.4 (2019): 100-104.

APA Style Citation: S. S. Deore , (2019). Role Identification in Movie using ECGM. International Journal of Computer Sciences and Engineering, 7(4), 100-104.

BibTex Style Citation:
@article{Deore_2019,
author = {S. S. Deore },
title = {Role Identification in Movie using ECGM},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {100-104},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4001},
doi = {https://doi.org/10.26438/ijcse/v7i4.100104}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.100104}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4001
TI - Role Identification in Movie using ECGM
T2 - International Journal of Computer Sciences and Engineering
AU - S. S. Deore
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 100-104
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

Automatic identification of human face has done a significant research interest and lead to many interesting applications. Identifying faces of human is a challenging problem due to the huge variation in the appearance of each character. In this paper, we are representing the problem of identifying characters in movies or TV serials using video and film script. We are attempting to extract frames from videos and clustering the faces from frames. System will extract names from script using HTML parser. A graph structure of character name and face get generated and matching between names and clustered face tracks under the some circumstances. In complex movie scenes, during the face tracking and face clustering process, noise gets generated and due to this, the performance of the system may get limited. This paper focuses on implementation of graph structure for movie script and movie character, generating a relationship also matching this graph for identification of movie characters role.

Key-Words / Index Term

Character Identification,K-means Clustering, ECGM, graph edit, graph matching

References

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