Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/19749
Title: | An investigation on server-side object-scene recognition performance using coarse location information and camera phone-captured images |
Authors: | Mangion, Christopher Camilleri, Kenneth P. |
Keywords: | Location-based services Self-organizing maps Global system for mobile communications Digital cameras |
Issue Date: | 2008 |
Publisher: | University of Malta. Faculty of ICT |
Citation: | Camilleri, K. P., & Mangion, C. (2008). An investigation on server-side object-scene recognition performance using coarse location information and camera phone-captured images. 1st Workshop in ICT (WICT 2008), Msida. 1-6. |
Abstract: | This paper presents a solution based on information already residing within a mobile network and aimed at the cultural tourist. It also demonstrates how scene (or landmark) recognition from an image can be achieved by combining local invariant image features, cell location information and classification based on Self-Organizing Map clustering. The proposed server-side approach makes the solution independent of the mobile platform and thus accessible to any camera- embedded mobile station having the Multimedia Messaging Service enabled. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/19749 |
Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
OA - AN I NVESTIGATION ON S ERVER SIDE O BJECT SCENE R ECOGNITION PERFORMANCE U SING C OARSE L OCATION I NFORMATION AND C AMERA PHONE -CAPTURED I MAGES-2-7.pdf | 524.17 kB | Adobe PDF | View/Open |
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.