Embedding Based on Function Approximation for Large Scale Image Search

@article{Do2016EmbeddingBO,
  title={Embedding Based on Function Approximation for Large Scale Image Search},
  author={Thanh-Toan Do and Ngai-Man Cheung},
  journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year={2016},
  volume={40},
  pages={626-638}
}
The objective of this paper is to design an embedding method that maps local features describing an image (e.g., SIFT) to a higher dimensional representation useful for the image retrieval problem. First, motivated by the relationship between the linear approximation of a nonlinear function in high dimensional space and the state-of-the-art feature representation used in image retrieval, i.e., VLAD, we propose a new approach for the approximation. The embedded vectors resulted by the function… CONTINUE READING
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