VMV: Vision, Modeling, and Visualization

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https://diglib.eg.org/handle/10.2312/1013

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Browsing VMV: Vision, Modeling, and Visualization by Subject "Applied computing → Arts and humanities"

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    Geospatial Topographic Attribute Maps
    (The Eurographics Association, 2024) Pessl, Laura; Schmidt, Johanna; Preiner, Reinhold; Linsen, Lars; Thies, Justus
    Genealogists study familial and ancestral relations in the temporal and historical context of their life events, including a geospatial context that studies the spread of families' origins, familial historical migration events, and varying relations between families and certain places over time. Genealogical data often constitute large, multimodal graphs encoding familial ties, which genealogist usually want to analyse using graphical representations. Geospatial information can supplement these relations, reflecting dates and locations of significant life events. To account for this additional information, we present Geospatial Topographic Attribute Maps (GeoTAMs). GeoTAMs extend Topographic Attribute Maps (TAMs), integrating a structural and temporal view on an ancestral graph with means to depict geospatial information about families and individuals. We employ a multi-view approach to represent temporal and spatial information in a genealogy graph. Evaluation results from a user study show that GeoTAMs support complex queries over graphical connections, time, and space.
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    PropColor: Interactive Color Propagation for 2D Animations
    (The Eurographics Association, 2024) Gowtham, Hari Hara; Parakkat, Amal Dev; Cani, Marie-Paule; Linsen, Lars; Thies, Justus
    Coloring is a fundamental yet time-consuming task in the 2D animation production pipeline. Traditional methods typically rely on frame-by-frame user interaction, leading to high user time and production costs. In this paper, we introduce PropColor, an interactive yet simple tool to propagate colors between adjacent frames of a hand-drawn animation. Starting with an initial frame colored by the user, our method propagates colors to neighboring frames based on the Delaunay triangulations computed from the sketch contours and the color hints. In addition to propagating colouring between frames, our method also associates a confidence score with each of them. This enables to identify the frames where user intervention is needed the most, either to validate the result or to provide additional color hints. Experiments show that our lightweight tool gives real-time feedback and significantly cuts down the animator's time.