SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Cumulated gain-based evaluation of IR techniques
ACM Transactions on Information Systems (TOIS)
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A survey of content-based image retrieval with high-level semantics
Pattern Recognition
Query performance prediction in web search environments
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
To personalize or not to personalize: modeling queries with variation in user intent
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Annotating Images by Mining Image Search Results
IEEE Transactions on Pattern Analysis and Machine Intelligence
Can all tags be used for search?
Proceedings of the 17th ACM conference on Information and knowledge management
Improved query difficulty prediction for the web
Proceedings of the 17th ACM conference on Information and knowledge management
MM '08 Proceedings of the 16th ACM international conference on Multimedia
MM '08 Proceedings of the 16th ACM international conference on Multimedia
The MIR flickr retrieval evaluation
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Visual diversification of image search results
Proceedings of the 18th international conference on World wide web
Proceedings of the 18th international conference on World wide web
Image tag clarity: in search of visual-representative tags for social images
WSM '09 Proceedings of the first SIGMM workshop on Social media
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
An effective coherence measure to determine topical consistency in user-generated content
International Journal on Document Analysis and Recognition - Special Issue NOISY
Learning social tag relevance by neighbor voting
IEEE Transactions on Multimedia
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Assistive tagging: A survey of multimedia tagging with human-computer joint exploration
ACM Computing Surveys (CSUR)
Social-oriented visual image search
Computer Vision and Image Understanding
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Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are therefore useful for image search and are appropriate for tag recommendation with respect to visual content of images. However, the relationship between a given tag and the visual content of its tagged images are largely ignored in existing studies on tags and in tagging applications. In this paper, we bridge the two orthogonal areas of social image tagging and query performance prediction in Web search, to quantify tag representativeness of the visual content presented in the annotated images, which is also known as tag visual-representativeness. In simple words, tag visual-representativeness characterizes the effectiveness of a tag in describing the visual content of the set of images annotated by the tag. A tag is visually representative if its annotated images are visually similar to each other, containing a common visual concept such as an object or a scene. We propose two distance metrics, namely cohesion and separation, to quantify tag visual-representativeness from the set of images annotated by a tag and the entire image collection. Through extensive experiments on a subset of Flickr images, we demonstrate the characteristics of seven variants of the distance metrics derived from different low-level image representations and show that the visually representative tags can be identified with high precision. Importantly, these proposed distance measures are parameter free with linear or constant computational complexity, thus are effective for practical applications.