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A Review on: Automatic Movie Character Annotation by Robust Face-Name Graph Matching

by Bhandare P.s, Gadekar P.r, Bhise Avdhut S, Bandgar Vishal V.
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 104 - Number 5
Year of Publication: 2014
Authors: Bhandare P.s, Gadekar P.r, Bhise Avdhut S, Bandgar Vishal V.
10.5120/18201-9123

Bhandare P.s, Gadekar P.r, Bhise Avdhut S, Bandgar Vishal V. . A Review on: Automatic Movie Character Annotation by Robust Face-Name Graph Matching. International Journal of Computer Applications. 104, 5 ( October 2014), 30-35. DOI=10.5120/18201-9123

@article{ 10.5120/18201-9123,
author = { Bhandare P.s, Gadekar P.r, Bhise Avdhut S, Bandgar Vishal V. },
title = { A Review on: Automatic Movie Character Annotation by Robust Face-Name Graph Matching },
journal = { International Journal of Computer Applications },
issue_date = { October 2014 },
volume = { 104 },
number = { 5 },
month = { October },
year = { 2014 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume104/number5/18201-9123/ },
doi = { 10.5120/18201-9123 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:35:24.448859+05:30
%A Bhandare P.s
%A Gadekar P.r
%A Bhise Avdhut S
%A Bandgar Vishal V.
%T A Review on: Automatic Movie Character Annotation by Robust Face-Name Graph Matching
%J International Journal of Computer Applications
%@ 0975-8887
%V 104
%N 5
%P 30-35
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Now a day's character Identification from films is a very challenging task due to the huge variation in the appearance of each & every character. It will lead significant research interests and may have many interesting applications in today's life. In this paper, we investigate the problem of identifying characters & annotating them with respective name using graph matching algorithm to get the most accurate identification result. The contribution of our work include: 1) the character-character relationship representation including a noise insensitive 2) Use an edit operation based error correcting graph matching algorithm. 3) Graph partitioning and graph matching for more complex character changes to handle simultaneously. 4) The existing character identification approaches, also we are going to perform an in-depth sensitivity analysis which will introduce two types of simulated noises.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Pattern Recognition and Movie Character annotation from video.

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