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On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015-2017

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10383333" target="_blank" >RIV/00216208:11320/18:10383333 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1109/TMM.2018.2830110" target="_blank" >https://doi.org/10.1109/TMM.2018.2830110</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/TMM.2018.2830110" target="_blank" >10.1109/TMM.2018.2830110</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    On Influential Trends in Interactive Video Retrieval: Video Browser Showdown 2015-2017

  • Original language description

    The last decade has seen innovations that make video recording, manipulation, storage, and sharing easier than ever before, thus impacting many areas of life. New video retrieval scenarios emerged as well, which challenge the state-of-the-art video retrieval approaches. Despite recent advances in content analysis, video retrieval can still benefit from involving the human user in the loop. We present our experience with a class of interactive video retrieval scenarios and our methodology to stimulate the evolution of new interactive video retrieval approaches. More specifically, the video browser showdown evaluation campaign is thoroughly analyzed, focusing on the years 2015-2017. Evaluation scenarios, objectives, and metrics are presented, complemented by the results of the annual evaluations. The results reveal promising interactive video retrieval techniques adopted by the most successful tools and confirm assumptions about the different complexity of various types of interactive retrieval scenarios. A comparison of the interactive retrieval tools with automatic approaches (including fully automatic and manual query formulation) participating in the TRECVID 2016 ad hoc video search task is discussed. Finally, based on the results of data analysis, a substantial revision of the evaluation methodology for the following years of the video browser showdown is provided.

  • 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

    <a href="/en/project/GA17-22224S" target="_blank" >GA17-22224S: User preference analytics in multimedia exploration models</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • 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 Multimedia

  • ISSN

    1520-9210

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    12

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    16

  • Pages from-to

    3361-3376

  • UT code for WoS article

    000450212600015

  • EID of the result in the Scopus database

    2-s2.0-85046350840