Name
Title | ||
|---|---|---|
Similarity-preserving hashing based on deep neural networks for large-scale image retrieval |
Abstract | ||
|---|---|---|
•A new distance metric method is proposed to improve the retrieval performance.•We build a deep framework to extract advanced image features for large-scale.•We extend the original deep framework to be suitable for multi-label datasets.•Extensive experimental results demonstrate the advantages of our method. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.jvcir.2019.03.024 | Journal of Visual Communication and Image Representation |
Keywords | Field | DocType |
Large-scale image retrieval,Similarity comparison,Deep learning,Multi-label learning,Quantization error | k-nearest neighbors algorithm,Pattern recognition,Feature (computer vision),Image retrieval,Semantic information,Artificial intelligence,Hash function,Quantization (signal processing),Mathematics,Deep neural networks,Binary number | Journal |
Volume | ISSN | Citations |
61 | 1047-3203 | 1 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaofei Wang | 1 | 686 | 58.88 |
| Feifei Lee | 2 | 28 | 10.16 |
| Qiu Chen | 3 | 24 | 10.09 |