Organizing cultural heritage with deep features

Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya Saraí García Vázquez, Alejandro Álvaro Ramírez Acosta

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    In recent years, the preservation and diffusion of culture in the digital form has been a priority for the governments in different countries, as in Mexico, with the objective of preserving and spreading culture through information technologies. Nowadays, a large amount of multimedia content is produced. Therefore, more efficient and accurate systems are required to organize it. In this work, we analyze the ability of a pre-trained residual network (ResNet) to describe information through the extracted deep features and we analyze its behavior by grouping new data into clusters by the K-means method at different levels of compression with the PCA algorithm showing that the structuring of new input data can be done with the proposed method.

    Original languageEnglish
    Title of host publicationSUMAC 2019 - Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with MM 2019
    PublisherAssociation for Computing Machinery, Inc
    Pages55-59
    Number of pages5
    ISBN (Electronic)9781450369107
    DOIs
    StatePublished - 15 Oct 2019
    Event1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, SUMAC 2019, co-located with MM 2019 - Nice, France
    Duration: 21 Oct 2019 → …

    Publication series

    NameSUMAC 2019 - Proceedings of the 1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, co-located with MM 2019

    Conference

    Conference1st Workshop on Structuring and Understanding of Multimedia heritAge Contents, SUMAC 2019, co-located with MM 2019
    Country/TerritoryFrance
    CityNice
    Period21/10/19 → …

    Keywords

    • Data structuring
    • Neural networks
    • Visual attention

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