TY - GEN
T1 - User-specific semantics for modeling content-based geospatial knowledge
AU - Barb, Adrian S.
AU - Shyu, Chi Ren
PY - 2007
Y1 - 2007
N2 - Modern technology enables organizations to build huge geospatial data repositories. But collecting and storing information is not sufficient if it is not backed-up by accurate and flexible methods of extracting knowledge encapsulated in data. Image analysts use individualized models to represent visual patterns found in images. These models may not coincide with the models created by computer algorithms. To be successful, computer systems need to adapt to the subjective views of image analysts. In this article we introduce a novel method for fast query customization that provides users with individualized computer models to assign semantics to visual patterns in images. These models are evolved according to user input by adjusting possibility functions that mathematically map the assignment of semantics into low-level features. Our approach provides a flexible method for querying image databases using semantics, and potentially provides a knowledge exchange method for the geospatial community.
AB - Modern technology enables organizations to build huge geospatial data repositories. But collecting and storing information is not sufficient if it is not backed-up by accurate and flexible methods of extracting knowledge encapsulated in data. Image analysts use individualized models to represent visual patterns found in images. These models may not coincide with the models created by computer algorithms. To be successful, computer systems need to adapt to the subjective views of image analysts. In this article we introduce a novel method for fast query customization that provides users with individualized computer models to assign semantics to visual patterns in images. These models are evolved according to user input by adjusting possibility functions that mathematically map the assignment of semantics into low-level features. Our approach provides a flexible method for querying image databases using semantics, and potentially provides a knowledge exchange method for the geospatial community.
UR - http://www.scopus.com/inward/record.url?scp=82355171246&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=82355171246&partnerID=8YFLogxK
U2 - 10.1109/IGARSS.2007.4422797
DO - 10.1109/IGARSS.2007.4422797
M3 - Conference contribution
AN - SCOPUS:82355171246
SN - 1424412129
SN - 9781424412129
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 330
EP - 333
BT - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
T2 - 2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Y2 - 23 June 2007 through 28 June 2007
ER -