NDLI: Object-based tag propagation for semi-automatic annotation of images

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Object-based tag propagation for semi-automatic annotation of images

Content Provider	ACM Digital Library
Author	Ebrahimi, Touradj Vajda, Peter Ivanov, Ivan Goldmann, Lutz Lee, Jong-Seok
Abstract	Over the last few years, social network systems have greatly increased users' involvement in online content creation and annotation. Since such systems usually need to deal with a large amount of multimedia data, it becomes desirable to realize an interactive service that minimizes tedious and time-consuming manual annotation. In this paper, we propose an interactive online platform that is capable of performing semi-automatic image annotation and tag recommendation for an extensive online database. First, when the user marks a specific object in an image, the system performs an object duplicate detection and returns the search results with images containing similar objects. Then, the annotation of the object can be performed in two ways: (1) In the tag recommendation process, the system recommends tags associated with the object in images of the search results, among which, the user can accept some tags for the object in the given image. (2) In the tag propagation process, when the user enters his/her tag for the object, it is propagated to images in the search results. Different techniques to speed-up the process of indexing and retrieval are presented in this paper and their effectiveness demonstrated through a set of experiments considering various classes of objects.
Starting Page	497
Ending Page	506
Page Count	10
File Format	PDF
ISBN	9781605588155
DOI	10.1145/1743384.1743471
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-03-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Tag propagation Image annotation Tag recommendation Social networks Object duplicate detection
Content Type	Text
Resource Type	Article

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