International Journal of Computer Vision
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Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Automatic image annotation and retrieval using cross-media relevance models
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Pattern Classification (2nd Edition)
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Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Integrating constraints and metric learning in semi-supervised clustering
ICML '04 Proceedings of the twenty-first international conference on Machine learning
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Content-based image retrieval: approaches and trends of the new age
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MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Standards for image annotation using Semantic Web
Computer Standards & Interfaces
LabelMe: A Database and Web-Based Tool for Image Annotation
International Journal of Computer Vision
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Proceedings of the ACM International Conference on Image and Video Retrieval
Multiple Bernoulli relevance models for image and video annotation
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Learning structured prediction models for interactive image labeling
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
An efficient and effective region-based image retrieval framework
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a semi-automatic tool, called IGAnn (Interactive image ANNotation), that assists users in annotating textual labels with images. IGAnn performs an interactive retrieval-like procedure: the system presents the user with images that have higher confidences, and then the user determines which images are actually relevant or irrelevant for a specified label. By collecting relevant and irrelevant images of iterations, a hierarchical classifier associated with the specified label is built using our proposed semi-supervised approach to compute confidence values of unlabeled images. This paper describes the system interface of IGAnn and also demonstrates quantitative experiments of our proposed approach.