1 / 28

Image Retrieval with Geometry-Preserving Visual Phrases

Image Retrieval with Geometry-Preserving Visual Phrases. Yimeng Zhang Zhaoyin Jia Tsuhan Chen School of Electrical and Computer Engineering, Cornell University. OUTLINE. Introduction GVP Experiments Conclusion. OUTLINE. Introduction GVP Experiments Conclusion. Image Retrieval.

rayya
Download Presentation

Image Retrieval with Geometry-Preserving Visual Phrases

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Image Retrieval with Geometry-Preserving Visual Phrases Yimeng Zhang ZhaoyinJiaTsuhan Chen School of Electrical and Computer Engineering, Cornell University

  2. OUTLINE • Introduction • GVP • Experiments • Conclusion

  3. OUTLINE • Introduction • GVP • Experiments • Conclusion

  4. Image Retrieval Image Database Ranked relevant images and metadata …

  5. Challenges

  6. Bag of Words

  7. Pros and cons • Pros • Computationally efficient • Cons • No shape/geometry modeling

  8. Phrases vs. Words

  9. Previous work

  10. Goal To model unbounded order features with extensive geometry modeling, but same computational complexity with bag of words

  11. Dataset

  12. OUTLINE • Introduction • GVP • Experiments • Conclusion

  13. Mutual word relationship

  14. Correspondence transform

  15. Correspondence transform

  16. Inverted Index with BoW

  17. Inverted Index with Phrases

  18. Inverted Index with Phrases

  19. Final Score

  20. Increase the invariance

  21. OUTLINE • Introduction • GVP • Experiments • Conclusion

  22. Example Precision-recall curve

  23. Comparison

  24. Flicker 1M dataset

  25. OUTLINE • Introduction • GVP • Experiments • Conclusion

  26. Conclusions

  27. THANK YOU

More Related