Multimodal Image Retrieval from Construction Databases and Model-Based Systems
Publication: Journal of Construction Engineering and Management
Volume 132, Issue 7
Abstract
In the modern and dynamic construction environment it is important to access information in a fast and efficient manner in order to improve the decision making processes for construction managers. This capability is, in most cases, straightforward with today’s technologies for data types with an inherent structure that resides primarily on established database structures like estimating and scheduling software. However, previous research has demonstrated that a significant percentage of construction data is stored in semi-structured or unstructured data formats (text, images, etc.) and that manually locating and identifying such data is a very hard and time-consuming task. This paper focuses on construction site image data and presents a novel image retrieval model that interfaces with established construction data management structures. This model is designed to retrieve images from related objects in project models or construction databases using location, date, and material information (extracted from the image content with pattern recognition techniques).
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Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 132 • Issue 7 • July 2006
Pages: 777 - 785
Copyright
© 2006 ASCE.
History
Received: Jun 17, 2005
Accepted: Nov 29, 2005
Published online: Jul 1, 2006
Published in print: Jul 2006
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