Texture Features and Learning Similarity
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
A Metric for Distributions with Applications to Image Databases
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 15th international conference on Multimedia
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
Information Processing and Management: an International Journal
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Proceedings of the 18th international conference on World wide web
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
Folksonomies. Indexing and Retrieval in Web 2.0
Folksonomies. Indexing and Retrieval in Web 2.0
Image tag refinement towards low-rank, content-tag prior and error sparsity
Proceedings of the international conference on Multimedia
Proceedings of the international conference on Multimedia
Content-based tag processing for Internet social images
Multimedia Tools and Applications
Enriching and localizing semantic tags in internet videos
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Multi-label learning with incomplete class assignments
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
IEEE Transactions on Information Theory
An efficient color representation for image retrieval
IEEE Transactions on Image Processing
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Collaborative image tagging systems, such as Flickr, are very attractive for supporting keyword-based image retrieval, but some user-provided tags of collaboratively-tagged social images might be imprecise. Some people may use general or high-level words (i.e., abstract tags) to tag their images for saving time and effort, but such general or high-level tags are too abstract to describe the visual content of social images precisely. As a result, users may not be able to find what they need when they use the specific keywords for query specification. To tackle the problem of abstract tags, an ontology with three-level semantics is constructed for detecting the candidates of abstract tags from large-scale social images. Then the image context (nearest neighbors) and tag context (most relevant tags) of social images with abstract tags are used to ultimately confirm whether these candidates are abstract or not and identify the specific tags which can further depict the images with abstract tags. In addition, all the relevant tags, which correspond with intermediate nodes between the abstract tags and specific tags on our concept ontology, are added to enrich the tags of social images so that users can have more choices to select various keywords for query specification. We have tested our proposed algorithms on two types of data sets (revised standard datasets and self-constructed dataset) and compared our approach with other approaches.