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dc.contributor.authorKurzhals, Kunoen_US
dc.contributor.authorStoll, Michaelen_US
dc.contributor.authorBruhn, Andrésen_US
dc.contributor.authorWeiskopf, Danielen_US
dc.contributor.editorHolger Winnemoeller and Lyn Bartramen_US
dc.date.accessioned2017-10-18T08:18:28Z
dc.date.available2017-10-18T08:18:28Z
dc.date.issued2017
dc.identifier.isbn978-1-4503-5080-8
dc.identifier.issn1816-0859
dc.identifier.urihttp://dx.doi.org/10.1145/3092912.3092914
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/cae2017a01
dc.description.abstractThe depiction of motion in static representations has a long tradition in art and science alike. Often, motion is depicted by spatiotemporal summarizations that try to preserve as much information of the original dynamic content as possible. In our approach to depicting motion, we remove the spatial constraints and generate new content steered by the temporal changes in motion. Applying particle steering in combination with the dynamic color palette of the video content, we can create a wide range of different image styles. With recorded videos, or by live interaction with a webcam, one can influence the resulting image. We provide a set of intuitive parameters to affect the style of the result, the final image content depends on the video input. Based on a collection of results gathered from test users, we discuss example styles that can be achieved with FlowBrush. In general, our approach provides an open sandbox for creative people to generate aesthetic images from any video content they apply.en_US
dc.publisherAssociation for Computing Machinery, Inc (ACM)en_US
dc.subjectComputing methodologies Image processing
dc.subjectVideo summarization
dc.subjectOptical flow
dc.subjectvideo
dc.subjectbased graphics
dc.subjectartistic tool
dc.subjectparticle steering
dc.titleFlowBrush: Optical Flow Arten_US
dc.description.seriesinformationComputational Aesthetics
dc.description.sectionheadersBrushes
dc.identifier.doi10.1145/3092912.3092914


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