Brilakis, I and Soibelman, L (2006) Multimodal image retrieval from construction databases and model-based systems. Journal of Construction Engineering and Management, 132(7), pp. 777-785. ISSN 0733-9364
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).
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction management; data analysis; databases; imaging techniques; information management; information retrieval; information technology |
| Index terms: | construction site, unstructured data, pattern recognition, scheduling, data analysis, information technology, estimating, construction manager, decision-making process, data management, database, information retrieval |
| Subjects: | profession, computing systems, operations research, work location, data analysis and analytics, data science, financial and cost management, computer vision, data management, decision analysis |
| Topics: | Risk Management, Roles and Professions, Cost Management, Research Practice, Time Control, Site Management, Digital Applications |
| Descriptive scope: | 3 PCA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here