CUED Publications database

Content-Based Search Engines for Construction Image Databases

Brilakis, I and Soibelman, L (2005) Content-Based Search Engines for Construction Image Databases. Journal of Automation in Construction, 14. pp. 537-550.

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Images represent a valuable source of information for the construction industry. Due to technological advancements in digital imaging, the increasing use of digital cameras is leading to an ever-increasing volume of images being stored in construction image databases and thus makes it hard for engineers to retrieve useful information from them. Content-Based Search Engines are tools that utilize the rich image content and apply pattern recognition methods in order to retrieve similar images. In this paper, we illustrate several project management tasks and show how Content-Based Search Engines can facilitate automatic retrieval, and indexing of construction images in image databases.

Item Type: Article
Uncontrolled Keywords: Content-Based Search Engines Image databases Digital imaging
Divisions: Div D > Construction Engineering
Depositing User: Cron Job
Date Deposited: 17 Jul 2017 20:31
Last Modified: 22 May 2018 07:33