GeoIRIS: Geospatial Information Retrieval and Indexing System—Content Mining, Semantics Modeling, and Complex Queries

By C. Shyu, M. Klaric, Grant J. Scott, Adrian S. Barb, C. Davis, Kannappan K. Palaniappan. 2007

207 citations recorded by the source corpus.

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Lung Segmentation in Chest Radiographs Using Anatomical Atlases With Nonrigid Registration (2013, unknown): “offline preprocessing step to extract signature features for each image in the database [37], [38] [39] and can incorporate multimodal information to improve precision [40].”
Automatic Tuberculosis Screening Using Chest Radiographs (2013, methodology): “2) CBIR-based Image Features - Set B: For our second feature set, Set B, we use a group of low-level features motivated by content-based image retrieval (CBIR) [54], [55].”
Content-Based High-Resolution Remote Sensing Image Retrieval via Unsupervised Feature Learning and Collaborative Affinity Metric Fusion (2016, methodology): “utilized the linear combination approach to measure the similarity when multiple features of one image are simultaneously utilized [1].”
Coastal image interpretation using background knowledge and semantics (2013, unknown): “Another system presented by [17] is composed of a content-based multimodal Geospatial Information Retrieval and Indexing System (GeoIRIS) which includes automatic feature extraction, visual content mining from large-scale image databases, and high-dimensional database indexing for fast retrieval.”