TY - GEN
T1 - MOVIE
T2 - 2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
AU - Kuhn, Virginia
AU - Simeone, Michael
AU - Marini, Luigi
AU - Bock, Dave
AU - Craig, Alan B.
AU - Diesendruck, Liana
AU - Satheesan, Sandeep Puthanveetil
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper we describe our efforts at establishing a software workbench for video analysis, annotation, and visualization, using both current and experimental discovery methods. This project builds upon our previous research with video and image analysis, and joins the emergent field of cultural analytics in the digital humanities. Moving image media is particularly ripe for computational analysis given its increasing ubiquity in contemporary culture. Hoping to make video more legible as a big data format, we employ visual media in the public domain and we focus on crowd-sourced annotation, aural and visual analysis and visualization of extracted image data. Our goal is to fill in existing gaps for asking cultural questions about video archives using computers, we also experiment with transformative methods in video research and analysis. Our long term goal is to allow researchers to move with agility from textual description and collection management, to manual inspection, to automated analysis, to visualization of discrete films as well as whole collections.
AB - In this paper we describe our efforts at establishing a software workbench for video analysis, annotation, and visualization, using both current and experimental discovery methods. This project builds upon our previous research with video and image analysis, and joins the emergent field of cultural analytics in the digital humanities. Moving image media is particularly ripe for computational analysis given its increasing ubiquity in contemporary culture. Hoping to make video more legible as a big data format, we employ visual media in the public domain and we focus on crowd-sourced annotation, aural and visual analysis and visualization of extracted image data. Our goal is to fill in existing gaps for asking cultural questions about video archives using computers, we also experiment with transformative methods in video research and analysis. Our long term goal is to allow researchers to move with agility from textual description and collection management, to manual inspection, to automated analysis, to visualization of discrete films as well as whole collections.
KW - Database
KW - Digital humanities
KW - Interactive analysis
KW - Video analytics
UR - http://www.scopus.com/inward/record.url?scp=84905457394&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905457394&partnerID=8YFLogxK
U2 - 10.1145/2616498.2616529
DO - 10.1145/2616498.2616529
M3 - Conference contribution
AN - SCOPUS:84905457394
SN - 9781450328937
T3 - ACM International Conference Proceeding Series
BT - Proceedings of the XSEDE 2014 Conference
PB - Association for Computing Machinery
Y2 - 13 July 2014 through 18 July 2014
ER -