Content-based image retrieval system using neural network
- Resource Type
- Conference
- Authors
- Karamti, Hanen; Tmar, Mohamed; Gargouri, Faiez
- Source
- 2014 IEEE/ACS 11th International Conference on Computer Systems and Applications (AICCSA) Computer Systems and Applications (AICCSA), 2014 IEEE/ACS 11th International Conference on. :723-728 Nov, 2014
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Vectors
Image retrieval
Neural networks
Feature extraction
Image color analysis
Training
- Language
- ISSN
- 2161-5322
2161-5330
Visual information retrieval has become a major research area due to increasing rate at which images are generated in many application. This paper addresses an important problems related to the content-based images retrieval. It concerns the vector representation of images and its proper use in image retrieval. Indeed, we propose a new model of content-based image retrieval allowing to integrate theories of neural network on a vector space model, where each low level query can be transformed into a score vector. Preliminary results obtained show that our proposed model is effective in a comparative study on two dataset Corel and Caltech-UCSD.