Proceedings of the 18th ACM International Conference on Multimedia 2010
DOI: 10.1145/1873951.1874215
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Enhanced exploration of oral history archives through processed video and synchronized text transcripts

Abstract: A digital video library of over 900 hours of video and 18000 stories from The HistoryMakers was used by 266 students, faculty, librarians, and life-long learners interacting with a system providing multiple search and viewing capabilities over a trial period of several months. User demographics and actions were logged with this multimedia collection, providing quantitative and qualitative metrics on system use. These transaction logs were complemented with heuristic evaluation, interviews, and contextual inqui… Show more

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Cited by 5 publications
(5 citation statements)
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“…Information retrieval for improving access to OH collections remains a foundational approach, such as through indexing (Boyd, 2013;Gref et al, 2018), segmentation (Gustman et al, 2002), and the use of ASR and machine learning to make recordings searchable (Salesky et al, 2016). The use of video has also been strongly tied to promoting greater Digital oral history towards a new research paradigm engagement with OH archives, and as an enhancement to access and 'digital storytelling', including in education (Christel et al, 2010;High, 2010;Kaufman, 2013;Gould and Gradowski, 2014). Most of the literature surveyed on the use of digital methods for analysing OH or spoken word collections focuses on various text-based analyses such as social network analysis and text-mining (McKether et al, 2009;Verd andLozares, 2014, McKether andFriese, 2016;O'Reagan and Fleming, 2018), semantic networking (Pattuelli and Miller, 2015), topic modelling and tagging, and datavisualization (Ohno et al, 2010;Paju et al, 2011;Xiao et al, 2013).…”
Section: Doh: the State Of The Artmentioning
confidence: 99%
“…Information retrieval for improving access to OH collections remains a foundational approach, such as through indexing (Boyd, 2013;Gref et al, 2018), segmentation (Gustman et al, 2002), and the use of ASR and machine learning to make recordings searchable (Salesky et al, 2016). The use of video has also been strongly tied to promoting greater Digital oral history towards a new research paradigm engagement with OH archives, and as an enhancement to access and 'digital storytelling', including in education (Christel et al, 2010;High, 2010;Kaufman, 2013;Gould and Gradowski, 2014). Most of the literature surveyed on the use of digital methods for analysing OH or spoken word collections focuses on various text-based analyses such as social network analysis and text-mining (McKether et al, 2009;Verd andLozares, 2014, McKether andFriese, 2016;O'Reagan and Fleming, 2018), semantic networking (Pattuelli and Miller, 2015), topic modelling and tagging, and datavisualization (Ohno et al, 2010;Paju et al, 2011;Xiao et al, 2013).…”
Section: Doh: the State Of The Artmentioning
confidence: 99%
“…The HistoryMakers is an African American oral history archive using speech alignment, image processing, and language understanding technologies to promote multiple levels of access to fuel the viewing of the actual video recordings in a large oral history corpus [2]. Tens of thousands of stories are accessible in oral histories processed through Informedia technologies at thehistorymakers.com and www.idvl.org.…”
Section: Synchronized Metadata For Oral Historiesmentioning
confidence: 99%
“…The time-aligned transcript makes the video more accessible [2] and offers potential to keep users on-site longer in support of exploratory search [1]. The locations of matching areas following a query are represented on the video timeline, with button access to quickly jump forward and back through match areas.…”
Section: Flash Oral History Portalmentioning
confidence: 99%