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Products for grant HAA-261239-18

HAA-261239-18
Distant Viewing Toolkit (DVT) for the Cultural Analysis of Moving Images
Lauren Tilton, University of Richmond

Grant details: https://securegrants.neh.gov/publicquery/main.aspx?f=1&gn=HAA-261239-18

Distant viewing: analyzing large visual corpora (Article)
Title: Distant viewing: analyzing large visual corpora
Author: Lauren Tilton
Author: Taylor Arnold
Abstract: In this article we establish a methodological and theoretical framework for the study of large collections of visual materials. Our framework, distant viewing, is distinguished from other approaches by making explicit the interpretive nature of extracting semantic metadata from images. In other words, one must ‘view’ visual materials before studying them. We illustrate the need for the interpretive process of viewing by simultaneously drawing on theories of visual semiotics, photography, and computer vision. Two illustrative applications of the distant viewing framework to our own research are draw upon to explicate the potential and breadth of the approach. A study of television series shows how facial detection is used to compare the role of actors within the narrative arcs across two competing series. An analysis of the Farm Security Administration–Office of War Information corpus of documentary photography is used to establish how photographic style compared and differed amongst those photographers involved with the collection. We then aim to show how our framework engages with current methodological and theoretical conversations occurring within the digital humanities.
Year: 2019
Primary URL: https://doi.org/10.1093/digitalsh/fqz013
Access Model: Free Access.
Format: Journal
Periodical Title: Digital Scholarship in the Humanities
Publisher: Oxford University Press

Visual Style in Two Network Era Sitcoms (Article)
Title: Visual Style in Two Network Era Sitcoms
Author: Taylor Arnold
Author: Lauren Tilton
Author: Annie Berke
Abstract: This essay shows how face detection and recognition algorithms, applied to frames extracted from a corpus of moving images, can capture formal elements present in media beyond shot length and average color measurements. Locating and identifying faces makes it possible to algorithmically extract time-coded labels that directly correspond to concepts and taxonomies established within film theory. For example, knowing the size of detected faces, for example, provides a direct link to the concept of shot framing. The blocking of a scene can similarly be deduced by knowing the relative positions of identified characters within a specific cut. Once produced on a large scale, these extracted formal elements can be aggregated to explore visual style across a collection of materials. It is then possible to understand how visual style is used within the internal construction of narrative and as a way to engage broadly with external cultural forces. The method is an example of an approach to large scale image analysis that Arnold and Tilton have termed distant viewing.
Year: 2019
Primary URL: https://culturalanalytics.org/2019/07/visual-style-in-two-network-era-sitcoms/
Access Model: open access
Format: Journal
Publisher: Journal of Cultural Analytics

Analyzing Moving Images at Scale with the Distant Viewing Toolkit (DVT) (Conference Paper/Presentation)
Title: Analyzing Moving Images at Scale with the Distant Viewing Toolkit (DVT)
Author: Lauren Tilton
Abstract: Analyzing Moving Images at Scale with the Distant Viewing Toolkit (DVT)
Date: 07/23/2019
Conference Name: DH2019


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