NDLI: An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags

Please wait, while we are loading the content...

An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags

Content Provider	ACM Digital Library
Author	Lux, Mathias Marques, Oge
Abstract	The popularity of social media sharing sites such as Flickr has driven a significant amount of research on the analysis of information contained in the tags used to annotate images. Many of such tags are not useful to describe the contents of an image and are often labeled as not descriptive or even noisy. In this work we focus on the descriptiveness of a tag in an exploratory way, within a relatively narrow domain, and with the help of a visual classifier. Preliminary experimental results demonstrate the possibility to infer descriptiveness of tags from a joint analysis of tag entropy calculations and the results of an automated visual classifier with a limited number of classes without taking tag content or tag co-occurrence into account. We postulate that these experiments can be extended and improved toward a working solution that might answer the question: Given a semantic category, which tags would you use for searching an image from that category?.
Starting Page	40
Ending Page	47
Page Count	8
File Format	PDF
ISBN	9781605583167
DOI	10.1145/1460676.1460685
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2008-10-31
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Social software Scene classification Image retrieval Image annotation Tag analysis
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
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