Automatic Image Tagging Using Community-Driven Online Image Databases

Automatic image tagging is becoming increasingly important to organize large amounts of image data. To identify concepts in images, these tagging systems rely on large sets of annotated image training sets. In this work we analyze image sets taken from online community-driven image databases, such as Flickr, for use in concept identification. Real-world performance is measured using our flexible tagging system, Tagr.

[1]  James Ze Wang,et al.  Real-Time Computerized Annotation of Pictures , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  Hideyuki Tamura,et al.  Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.

[3]  Dan I. Moldovan,et al.  Exploiting ontologies for automatic image annotation , 2005, SIGIR '05.

[4]  Hermann Ney,et al.  FIRE - Flexible Image Retrieval Engine: ImageCLEF 2004 Evaluation , 2004, CLEF.

[5]  David A. Forsyth,et al.  Matching Words and Pictures , 2003, J. Mach. Learn. Res..

[6]  Carol Peters,et al.  Multilingual Information Access for Text, Speech and Images, 5th Workshop of the Cross-Language Evaluation Forum, CLEF 2004, Bath, UK, September 15-17, 2004, Revised Selected Papers , 2005, CLEF.

[7]  David A. Forsyth,et al.  Learning the semantics of words and pictures , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[8]  Stanley T. Birchfield,et al.  Spatiograms versus histograms for region-based tracking , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[9]  R. Manmatha,et al.  Automatic image annotation and retrieval using cross-media relevance models , 2003, SIGIR.

[10]  Markus A. Stricker,et al.  Color indexing with weak spatial constraints , 1996, Electronic Imaging.

[11]  Stefan M. Rüger,et al.  Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation , 2005, CIVR.

[12]  Wei-Ying Ma,et al.  Image and Video Retrieval , 2003, Lecture Notes in Computer Science.

[13]  Y. Mori,et al.  Image-to-word transformation based on dividing and vector quantizing images with words , 1999 .

[14]  Mary Czerwinski,et al.  Semi-Automatic Image Annotation , 2001, INTERACT.