A fast compression-based similarity measure with applications to content-based image retrieval
| Main Authors: | Cerra, Daniele, Datcu, Mihai |
|---|---|
| Format: | Article Journal |
| Bahasa: | eng |
| Terbitan: |
, 2011
|
| Online Access: |
https://zenodo.org/record/861 |
Daftar Isi:
- Compression-based similarity measures are effectively employed in applications on diverse data types with a basically parameter-free approach. Nevertheless, there are problems in applying these techniques to medium-to-large datasets which have been seldom addressed. This paper proposes a similarity mea- sure based on compression with dictionaries, the Fast Compression Distance (FCD), which reduces the complexity of these methods, without degradations in performance. On its basis a content-based color image retrieval system is defined, which can be compared to state-of-the-art methods based on invariant color features. Through the FCD a better understanding of compression-based techniques is achieved, by performing experiments on datasets which are larger than the ones analyzed so far in literature.