Advisor

Melanie Mitchell

Date of Award

9-28-2017

Document Type

Thesis

Degree Name

Master of Science (M.S.) in Computer Science

Department

Computer Science

Physical Description

1 online resource (ix, 58 pages)

DOI

10.15760/etd.5767

Abstract

Image retrieval via a structured query is explored in Johnson, et al. [7]. 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 [7], 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.

Persistent Identifier

http://archives.pdx.edu/ds/psu/21769

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