Image Clustering Using Visual and Text Keywords

@article{Agrawal2007ImageCU,
  title={Image Clustering Using Visual and Text Keywords},
  author={Rajeev Agrawal and Changhua Wu and William I. Grosky and Farshad Fotouhi},
  journal={2007 International Symposium on Computational Intelligence in Robotics and Automation},
  year={2007},
  pages={49-54}
}
In classical image classification approaches, low-level features have been used. But the high dimensionality of feature spaces poses a challenge in terms of feature selection and distance measurement during the clustering process. In this paper, we propose an approach to generate visual keyword and combine both visual and text keywords of the image to form a multimodal vector for image classification. This multimodality helps in extracting the image to image, text to text and text to image… CONTINUE READING

Citations

Publications citing this paper.
SHOWING 1-3 OF 3 CITATIONS

A novel multimodal clustering framework for images with diverse associated text

  • Multimedia Tools and Applications
  • 2018
VIEW 8 EXCERPTS
CITES BACKGROUND & METHODS
HIGHLY INFLUENCED

References

Publications referenced by this paper.
SHOWING 1-10 OF 28 REFERENCES

LabelMe: A Database and Web-Based Tool for Image Annotation

  • International Journal of Computer Vision
  • 2005
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Diffusion maps

R. R. Coifman, S. Lafon
  • Applied and Computational Harmonic Analysis, 12, 1
  • 2006
VIEW 1 EXCERPT

Image Retrieval Using Multimodal Keywords

  • Eighth IEEE International Symposium on Multimedia (ISM'06)
  • 2006

ViVo: visual vocabulary construction for mining biomedical images

  • Fifth IEEE International Conference on Data Mining (ICDM'05)
  • 2005
VIEW 1 EXCERPT

Multiobjective data clustering

  • Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004.
  • 2004
VIEW 1 EXCERPT