Portland State University. Department of Computer Science
Date of Publication
Master of Science (M.S.) in Computer Science
Content-based image retrieval, Semantic computing, Image processing -- Digital techniques, Computer vision
1 online resource (ix, 58 pages)
Image retrieval via a structured query is explored in Johnson, et al. . The query is structured as a scene graph and a graphical model is generated from the scene graph's object, attribute, and relationship structure. Inference is performed on the graphical model with candidate images and the energy results are used to rank the best matches. In , scene graph objects that are not in the set of recognized objects are not represented in the graphical model. This work proposes and tests two approaches for modeling the unrecognized objects in order to leverage the attribute and relationship models to improve image retrieval performance.
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Conser, Erik Timothy, "Improved Scoring Models for Semantic Image Retrieval Using Scene Graphs" (2017). Dissertations and Theses. Paper 3879.