Adaptive Tag Selection for Image Annotation
暂无分享,去创建一个
Xirong Li | Qin Jin | Gang Yang | Jieping Xu | Xixi He
[1] Xirong Li,et al. Renmin University of China at ImageCLEF 2013 Scalable Concept Image Annotation , 2013, CLEF.
[2] Marcel Worring,et al. Learning Social Tag Relevance by Neighbor Voting , 2009, IEEE Transactions on Multimedia.
[3] Chong-Wah Ngo,et al. Semantic context transfer across heterogeneous sources for domain adaptive video search , 2009, ACM Multimedia.
[4] Adrian Popescu,et al. CEA LIST@ImageCLEF 2013: Scalable Concept Image Annotation , 2013, CLEF.
[5] Koen E. A. van de Sande,et al. The University of Amsterdam's Concept Detection System at ImageCLEF 2009 , 2009, CLEF.
[6] Chong-Wah Ngo,et al. Sampling and Ontologically Pooling Web Images for Visual Concept Learning , 2012, IEEE Transactions on Multimedia.
[7] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] B. Thomee,et al. Overview of the ImageCLEF 2013 Scalable Concept Image Annotation Subtask , 2013, CLEF.
[9] Alberto Del Bimbo,et al. A Cross-media Model for Automatic Image Annotation , 2014, ICMR.
[10] Mauricio Villegas Santamaría,et al. Overview of the ImageCLEF 2014 Scalable Concept Image Annotation Task , 2014 .
[11] Xirong Li,et al. Classifying tag relevance with relevant positive and negative examples , 2013, ACM Multimedia.
[12] Paul M. B. Vitányi,et al. The Google Similarity Distance , 2004, IEEE Transactions on Knowledge and Data Engineering.
[13] Ramesh C. Jain,et al. Image annotation by kNN-sparse graph-based label propagation over noisily tagged web images , 2011, TIST.
[14] Jing Wang,et al. Clickage: towards bridging semantic and intent gaps via mining click logs of search engines , 2013, ACM Multimedia.
[15] Wei-Ying Ma,et al. Duplicate-Search-Based Image Annotation Using Web-Scale Data , 2012, Proceedings of the IEEE.
[16] Marcel Worring,et al. Bootstrapping Visual Categorization With Relevant Negatives , 2013, IEEE Transactions on Multimedia.
[17] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.