Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)

Raffaella Bernardi, Ruket Cakici, Desmond Elliott, Aykut Erdem, Erkut Erdem, Nazli Ikizler-Cinbis, Frank Keller, Adrian Muscat, Barbara Plank

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

    11 Citations (Scopus)

    Abstract

    Automatic image description generation is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the known approaches based on how they conceptualise this problem and provide a review of existing models, highlighting their advantages and disadvantages. Moreover, we give an overview of the benchmark image-text datasets and the evaluation measures that have been developed to assess the quality of machine-generated descriptions. Finally we explore future directions in the area of automatic image description.
    Original languageEnglish
    Title of host publication26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    EditorsCarles Sierra
    PublisherIJCAI - International Joint Conferences on Artificial Intelligence
    Pages4970-4974
    Number of pages5
    Volume2017
    ISBN (Electronic)9780999241103
    Publication statusPublished - 2017
    Event26th International Joint Conference on Artificial Intelligence, IJCAI 2017 - Melbourne, Australia
    Duration: 19-Aug-201725-Aug-2017

    Publication series

    NameIJCAI International Joint Conference on Artificial Intelligence
    ISSN (Print)1045-0823

    Conference

    Conference26th International Joint Conference on Artificial Intelligence, IJCAI 2017
    Country/TerritoryAustralia
    CityMelbourne
    Period19/08/201725/08/2017

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