Image similarity search with compact data structures

  title={Image similarity search with compact data structures},
  author={Qin Lv and Moses Charikar and Kai Li},
The recent theoretical advances on compact data structures (also called "sketches") have raised the question of whether they can effectively be applied to content-based image retrieval systems. The main challenge is to derive an algorithm that achieves high-quality similarity searches while using compact metadata. This paper proposes a new similarity search method consisting of three parts. The first is a new region feature representation with weighted $=<i></i><inf>1</inf> distance function… CONTINUE READING
Highly Cited
This paper has 114 citations. REVIEW CITATIONS
65 Extracted Citations
5 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.

114 Citations

Citations per Year
Semantic Scholar estimates that this publication has 114 citations based on the available data.

See our FAQ for additional information.

Referenced Papers

Publications referenced by this paper.
Showing 1-5 of 5 references

Fast image retrieval via embeddings

  • P. Indyk, N. Thaper
  • In 3rd Intl. Workshop on Statistical and…
  • 2003
Highly Influential
8 Excerpts

Similar Papers

Loading similar papers…