Deep Multi-View Enhancement Hashing for Image Retrieval
Shandong University · Hangzhou Dianzi University · +1 more institution
Abstract
Hashing is an efficient method for nearest neighbor search in large-scale data space by embedding high-dimensional feature descriptors into a similarity preserving Hamming space with a low dimension. However, large-scale high-speed retrieval through binary code has a certain degree of reduction in retrieval accuracy compared to traditional retrieval methods. We have noticed that multi-view methods can well preserve the diverse characteristics of data. Therefore, we try to introduce the multi-view deep neural network into the hash learning field, and design an efficient and innovative retrieval model, which has achieved a significant improvement in retrieval performance. In this paper, we propose a supervised…
Citation impact
- FWCI
- 31.78
- Percentile
- 100%
- References
- 60
Authors
4Topics & keywords
- Hamming space
- Computer science
- Hash function
- Image retrieval
- Artificial intelligence
- Pattern recognition (psychology)
- Hamming distance
- Binary code