NDLI: Finding Celebrities in Billions of Web Images

Content Provider	IEEE Xplore Digital Library
Author	Xiao Zhang Lei Zhang Xin-Jing Wang Heung-Yeung Shum
Copyright Year	1999
Abstract	In this paper, we present a face annotation system to automatically collect and label celebrity faces from the web. With the proposed system, we have constructed a large-scale dataset called “Celebrities on the Web,” which contains 2.45 million distinct images of 421 436 celebrities and is orders of magnitude larger than previous datasets. Collecting and labeling such a large-scale dataset pose great challenges on current multimedia mining methods. In this work, a two-step face annotation approach is proposed to accomplish this task. In the first step, an image annotation system is proposed to label an input image with a list of celebrities. To utilize the noisy textual data, we construct a large-scale celebrity name vocabulary to identify candidate names from the surrounding text. Moreover, we expand the scope of analysis to the surrounding text of webpages hosting near-duplicates of the input image. In the second step, the celebrity names are assigned to the faces by label propagation on a facial similarity graph. To cope with the large variance in the facial appearances, a context likelihood is proposed to constrain the name assignment process. In an evaluation on 21 735 faces, both the image annotation system and name assignment algorithm significantly outperform previous techniques.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	995
Ending Page	1007
Page Count	13
File Size	2434305
File Format	PDF
ISSN	15209210
Volume Number	14
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Face Labeling Visualization Databases Face recognition Multimedia communication Electronic mail image retrieval image annotation image database
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

Sl.	Authority	Responsibilities	Communication Details
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
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
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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