A user-driven model for content-based image retrieval

@article{Zhang2012AUM,
  title={A user-driven model for content-based image retrieval},
  author={Yi Zhang and Zhipeng Mo and Wenbo Li and Tianhao Zhao},
  journal={Proceedings of The 2012 Asia Pacific Signal and Information Processing Association Annual Summit and Conference},
  year={2012},
  pages={1-8}
}
The intention of image retrieval systems is to provide retrieved results as close to users' expectations as possible. However, users' requirements vary from each other in various application scenarios for the same concept and keywords. In this paper, we introduce a personalized image retrieval model driven by users' operational history. In our simulated system, three types of data, which are browsing time, downloads and grades, are collected to generate a sort criterion for retrieved image sets… CONTINUE READING

Figures and Topics from this paper.

Citations

Publications citing this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 11 REFERENCES

Content-based image retrieval: approaches and trends of the new age.

  • Datta, L J.R.a., J. Z. Wang
  • Proceedings of the 7th ACM SIGMM international…
  • 2005
1 Excerpt

Similar Papers

Loading similar papers…