NDLI: Retrieval of movie character using semantic graph matching techniques

Content Provider	IEEE Xplore Digital Library
Author	Jajoo, A. Kumaraguru, S.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., D.Y. Patil Coll. of Eng., Pune, India (Jajoo, A.; Kumaraguru, S.)
Abstract	In today's scenario identification based updating are on demand, especially automatic face identification. By this identification we can collect the related data efficiently, means it works like a data collector based on identification. The face distinguishing mark of notation in filter has tense magnanimous log in study interests and lead to many interesting applications. There are several areas where the above notation is leading including movies. It is a strenuous problem due to the huge variation in the appearance of each character and the potential mismatch between images and their captions. Instead of the fact that realized methods prevail upon sparing in besom mood, the performances are not up to the presumptions because of the noises generated during the face tracking and face clustering process. In this paper, global face-name matching scheme instead of the local matching scheme is proposed. The global matching is done between faces from video and names from text script file of movie. We have proposed a hybrid frame work which is based on Principle Component Analysis classification and VF2 graph matching for improving the robustness and reduce the mismatch between images and captions respectively. The proposed system gives better results in terms of robustness in identifying characters in less time as compared with existing systems.
Sponsorship	IEEE Delhi Sect.
Starting Page	68
Ending Page	73
File Size	1328629
Page Count	6
File Format	PDF
ISBN	9781479939589
e-ISBN	9781479929955
DOI	10.1109/ICROIT.2014.6798294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-06
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Face identification Taxonomy Random access memory Robustness Global matching Classification algorithms Face Labeling Graph matching
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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