NDLI: The accuracy and value of machine-generated image tags: design and user evaluation of an end-to-end image tagging system

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The accuracy and value of machine-generated image tags: design and user evaluation of an end-to-end image tagging system

Content Provider	ACM Digital Library
Author	Xie, Lexing Hill, Matthew Phillips, Alex Natsev, Apostol Smith, John R.
Abstract	Automated image tagging is a problem of great interest, due to the proliferation of photo sharing services. Researchers have achieved considerable advances in understanding motivations and usage of tags, recognizing relevant tags from image content, and leveraging community input to recommend more tags. In this work we address several important issues in building an end-to-end image tagging application, including tagging vocabulary design, taxonomy-based tag refinement, classifier score calibration for effective tag ranking, and selection of valuable tags, rather than just accurate ones. We surveyed users to quantify tag utility and error tolerance, and use this data in both calibrating scores from automatic classifiers and in taxonomy based tag expansion. We also compute the relative importance among tags based on user input and statistics from Flickr. We present an end-to-end system evaluated on thousands of user-contributed photos using 60 popular tags. We can issue four tags per image with over 80% accuracy, up from 50% baseline performance, and we confirm through a comparative user study that value-ranked tags are preferable to accuracy-ranked tags.
Starting Page	58
Ending Page	65
Page Count	8
File Format	PDF
ISBN	9781450301176
DOI	10.1145/1816041.1816052
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-07-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Social media User value Image tagging
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
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