Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Labeling images with a computer game
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Peekaboom: a game for locating objects in images
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Scalable Recognition with a Vocabulary Tree
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Recommending Tags for Pictures Based on Text, Visual Content and User Context
ICIW '08 Proceedings of the 2008 Third International Conference on Internet and Web Applications and Services
World-scale mining of objects and events from community photo collections
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
SURF: speeded up robust features
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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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.