An efficient parts-based near-duplicate and sub-image retrieval system
By Yan Ke, Rahul Sukthankar, Larry Huston. 2004
430 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Information Retrieval & Search
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Herv'e J'egou
- Luc Van Gool
- Trevor Darrell
- Kaiming He
- Cordelia Schmid
- Matthijs Douze
- Premkumar Natarajan
- Andrew Zisserman
In Information Retrieval & Search
- Herv'e J'egou
- Laurent Amsaleg
- Loïc Paulevé
- Matthijs Douze
- Qin Lv
- Moses Charikar
- Zhe Wang
- William K. Josephson
Citations in the corpus
- Locality sensitive hashing: A comparison of hash function types and querying mechanisms (2010, methodology): “LSH has been successfully used in several multi-media applications (Ke et al., 2004; Shakhnarovich et al., 2006; Matei et al., 2006).”
- Filtering Image Spam with Near-Duplicate Detection (2007, background): “The image features they use are usually complex and slow to compute and compare.”
- BusterNet: Detecting Copy-Move Image Forgery with Source/Target Localization (2018, background): “Early CMFD work can be traced back to the early 2000s [12,15] when most of the research work focused on plain cloning.”
- Non-commercial Research and Educational Use including without Limitation Use in Instruction at Your Institution, Sending It to Specific Colleagues That You Know, and Providing a Copy to Your Institution's Administrator. All Other Uses, Reproduction and Distribution, including without Limitation Comm (2005, neutral): “In a separate development the use of a genetic algorithm (GA) for the analysis of NMR spectra in integrated form of solutes in liquid crystals was reported in a short Letter that gave little detail [12].”