About this document
Unified Scoring for Image Retrieval by Senthilkumar Krishnamoorthy is a document available to read on EtoBox.
This document summarizes a research paper that proposes a new scoring method for local feature-based image retrieval. The scoring method is derived by solving the large-scale image retrieval problem as a classification problem with many classes. The proposed score is based on the ratio of the probability density function of an object model to a background model, which can be efficiently calculated using nearest neighbor density estimation. The paper shows that this scoring method is more effective than inve
- Author
- Senthilkumar Krishnamoorthy
- Language
- EN