NDLI: Smart management system for digital photographs using temporal and spatial features with EXIF metadata

Content Provider	IEEE Xplore Digital Library
Author	Chul-Jin Jang Ji-Yeon Lee Jeong-Won Lee Hwan-Gue Cho
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Eng., Pusan Nat. Univ., Pusan (Chul-Jin Jang; Ji-Yeon Lee; Jeong-Won Lee; Hwan-Gue Cho)
Abstract	Due to the popular use of digital cameras and the growing capacity of storage, managing a large collection of digital photos is a burdensome job for the average customers. One distinct feature of current digital photos is that image contents are embedded with metadata EXIF, which varies among digital camera manufactures. Since these metadata have abundant information about the photographing environment, it can provide useful hints for managing photos. Most previous digital photo clustering methods were mainly dependent on the timestamp of the photo taken, so users can not always find the intended photos especially if adjacent pictures have very small time gap. The timing gap of digital photos is not a sufficient and reliable clustering condition to satisfy the average customer. In this paper, we propose a novel parameterized clustering system for digital photos by exploiting temporal (time gap between adjacent photos) and spatial features (content similarity on color pixel domain), so each user can adjust his or her own clustering parameters according to the preference between event (temporal condition) and people (spatial content condition). In order to compute the spatial similarity, we applied the adapted color weight function depending on the distribution of a quantified color set. This enabled us not to use the dominant background color in image similarity matching. We also propose a new content matching algorithm called the block matching-expansion procedure. In this experiment, we compared the result with Cooper's most recent work. Using a set of testing 54 photos, we obtained 4 different clusterings from 4 average photographers' manual work. For each manual clustering, we could find a near optimal parameter (balancing temporal and spatial clustering), which were all superior to Cooper's clustering using temporal condition only.
Starting Page	110
Ending Page	115
File Size	517432
Page Count	6
File Format	PDF
ISBN	9781424414758
DOI	10.1109/ICDIM.2007.4444209
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-28
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Printing Costs Engineering management Clustering methods Clustering algorithms Digital cameras Manufacturing Timing Environmental management Distributed computing
Content Type	Text
Resource Type	Article

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
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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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