Normalized Cuts and Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
To search or to label?: predicting the performance of search-based automatic image classifiers
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
VirtualTour: an online travel assistant based on high quality images
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Flickr tag recommendation based on collective knowledge
Proceedings of the 17th international conference on World Wide Web
Identifying relevant frames in weakly labeled videos for training concept detectors
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Real-Time Computerized Annotation of Pictures
IEEE Transactions on Pattern Analysis and Machine Intelligence
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
A comparison of extrinsic clustering evaluation metrics based on formal constraints
Information Retrieval
Annotating images by harnessing worldwide user-tagged photos
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Visual tag dictionary: interpreting tags with visual words
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
Image tag clarity: in search of visual-representative tags for social images
WSM '09 Proceedings of the first SIGMM workshop on Social media
Smart batch tagging of photo albums
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Unified video annotation via multigraph learning
IEEE Transactions on Circuits and Systems for Video Technology
NUS-WIDE: a real-world web image database from National University of Singapore
Proceedings of the ACM International Conference on Image and Video Retrieval
Beyond distance measurement: constructing neighborhood similarity for video annotation
IEEE Transactions on Multimedia - Special section on communities and media computing
Can social tagged images aid concept-based video search?
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Generating visual concept network from large-scale weakly-tagged images
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Towards a Relevant and Diverse Search of Social Images
IEEE Transactions on Multimedia
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Visual-word based image representation has shown effectiveness in a wide variety of applications such as categorization, annotation and search. By detecting keypoints in images and treating their patterns as visual words, an image can be represented as a bag of visual words, which is analogous to the bag-of-words representation of text documents. In this paper, we construct a corpus named visual tag dictionary by mining community-contributed media corpus. Unlike the conventional dictionaries that define terms with textual words, the visual tag dictionary interprets each tag with visual words. The dictionary is constructed in a fully automatic way by exploring community-contributed images and their associated tags. With this dictionary, tags and images are connected via visual words and many applications can be thus facilitated. As examples, we empirically demonstrate the effectiveness of the dictionary in tag-based image search, tag ranking, image annotation and tag graph construction. Empirical results demonstrate the effectiveness of the dictionary.