Applying Content-Based Image Retrieval Techniques to Provide New Services for Tourism Industry
Journal: International Journal of Advanced Networking and Applications (Vol.6, No. 02)Publication Date: 2014-09-01
Authors : Zobeir Raisi; Farahnaz Mohanna; Mehdi Rezaei;
Page : 2222-2232
Keywords : CBIR; Tourism Industry; MPEG-7; Mobile; Handheld Device;
Abstract
The aim of this paper is to use the network and internet and also to apply the content based image retrieval techniques to provide new services for tourism industry. The assumption is a tourist faces an interesting subject; he or she can take an image of subject by a handheld device and send it to the server as query image of CBIR. In the server, images similar to the query are retrieved and results are returned to the handheld device to be shown on a web browser. Then, the tourist can access the useful information about the subject by clicking on one of the retrieved images. For this purpose, a tourism database is created. Then several particular content-based image retrieval techniques are selected and applied to the database. Among these techniques, ‘Edge Histogram Descriptor (EHD)’ and ‘Color layout descriptor (CLD)’ algorithms have better retrieval performances than the others. By combining and modification of these two methods, a new CBIR algorithm is proposed for this application. Simulation results show a high retrieval performance for the proposed algorithm.
Other Latest Articles
- Psychoanalysis of Online Behavior and Cyber Conduct of Chatters in Chat Rooms and Messenger Environments
- Investigation and application of Personalizing Recommender Systems based on ALIDATA DISCOVERY
- Application Layer Intrusion Detection with Combination of Explicit-Rule-Based and Machine Learning Algorithms and Deployment in Cyber- Defence Program
- Performance Comparison of Cluster based and Threshold based Algorithms for Detection and Prevention of Cooperative Black Hole Attack in MANETs
Last modified: 2015-12-01 18:35:42