Backdrop Explorer: A Human-AI Collaborative Approach for Exploring Studio Backdrops in Civil War Portraits
| dc.contributor.author | Lim, Ken Yoong | en |
| dc.contributor.committeechair | Luther, Kurt | en |
| dc.contributor.committeemember | Lee, Sang Won | en |
| dc.contributor.committeemember | Gitre, Edward Joseph Khair | en |
| dc.contributor.department | Computer Science and Applications | en |
| dc.date.accessioned | 2023-06-15T08:00:17Z | en |
| dc.date.available | 2023-06-15T08:00:17Z | en |
| dc.date.issued | 2023-06-14 | en |
| dc.description.abstract | In historical photo research, the presence of painted backdrops have the potential to help identify subjects, photographers, locations, and jl{events surrounding} certain photographs. Yet, research processes around these backdrops are poorly documented, with no known tools to aid in the task. We propose a four-step human-AI collaboration workflow to support the jl{discovery} and clustering of these backdrops. Focusing on the painted backdrops of the American Civil War (1861 -- 1865), we present Backdrop Explorer, a content-based image retrieval (CBIR) system incorporating computer vision and novel user interactions. We evaluated Backdrop Explorer on nine users of diverse experience levels and found that all were able to effectively utilize Backdrop Explorer to find photos with similar backdrops. We also document current practices and pain points in Civil War backdrop research through user interviews. Finally, we discuss how our findings and workflow can be applied to other topics and domains. | en |
| dc.description.abstractgeneral | In historical photo research, the presence of painted backdrops have the potential to help identify subjects, photographers, locations, and events surrounding certain photographs. Yet, research processes around these backdrops are poorly documented, with no known tools to aid in the largely manual task. We present Backdrop Explorer, a reverse image search system that helps users discover and subsequently group photos with similar backdrops. We evaluated the system and found that it effectively supported the tasks. We also document current practices and pain points in Civil War backdrop research. Finally, we discuss how our findings and system can be applied to other domains. | en |
| dc.description.degree | Master of Science | en |
| dc.format.medium | ETD | en |
| dc.identifier.other | vt_gsexam:38060 | en |
| dc.identifier.uri | http://hdl.handle.net/10919/115427 | en |
| dc.language.iso | en | en |
| dc.publisher | Virginia Tech | en |
| dc.rights | In Copyright | en |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject | Human-AI Interaction | en |
| dc.subject | Computer Vision | en |
| dc.subject | Content-Based Image Retrieval | en |
| dc.subject | Digital Humanities | en |
| dc.title | Backdrop Explorer: A Human-AI Collaborative Approach for Exploring Studio Backdrops in Civil War Portraits | en |
| dc.type | Thesis | en |
| thesis.degree.discipline | Computer Science and Applications | en |
| thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
| thesis.degree.level | masters | en |
| thesis.degree.name | Master of Science | en |
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