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Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00136940" target="_blank" >RIV/00216224:14330/23:00136940 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1109/TVCG.2021.3130670" target="_blank" >http://dx.doi.org/10.1109/TVCG.2021.3130670</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TVCG.2021.3130670" target="_blank" >10.1109/TVCG.2021.3130670</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Molecumentary: Adaptable Narrated Documentaries Using Molecular Visualization

  • Original language description

    We present a method for producing documentary-style content using real-time scientific visualization. We introduce molecumentaries, i.e., molecular documentaries featuring structural models from molecular biology, created through adaptable methods instead of the rigid traditional production pipeline. Our work is motivated by the rapid evolution of scientific visualization and it potential in science dissemination. Without some form of explanation or guidance, however, novices and lay-persons often find it difficult to gain insights from the visualization itself. We integrate such knowledge using the verbal channel and provide it along an engaging visual presentation. To realize the synthesis of a molecumentary, we provide technical solutions along two major production steps: (1) preparing a story structure and (2) turning the story into a concrete narrative. In the first step, we compile information about the model from heterogeneous sources into a story graph. We combine local knowledge with external sources to complete the story graph and enrich the final result. In the second step, we synthesize a narrative, i.e., story elements presented in sequence, using the story graph. We then traverse the story graph and generate a virtual tour, using automated camera and visualization transitions. We turn texts written by domain experts into verbal representations using text-to-speech functionality and provide them as a commentary. Using the described framework, we synthesize fly-throughs with descriptions: automatic ones that mimic a manually authored documentary or semi-automatic ones which guide the documentary narrative solely through curated textual input.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE transactions on visualization and computer graphics

  • ISSN

    1077-2626

  • e-ISSN

  • Volume of the periodical

    29

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    15

  • Pages from-to

    1733-1747

  • UT code for WoS article

    000925059900010

  • EID of the result in the Scopus database

    2-s2.0-85120575005