Essays about: "Bildtexter"

Found 3 essays containing the word Bildtexter.

  1. 1. Layout Analysis on modern Newspapers using the Object Detection model Faster R-CNN

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mikaela Funkquist; [2022]
    Keywords : Document Layout Analysis; Newspapers; Object Detection; Faster R-CNN; Deep Learning; Dokument Layout Analys; Tidningar; Objektdetektering; Faster R-CNN; Djupinlärning;

    Abstract : As society is becoming more and more digitized the amount of digital data is increasing rapidly. Newspapers are one example of this, that many Libraries around the world are storing as digital images. READ MORE

  2. 2. Instagram marketing to attract international students in an age of internationalisation : A case study of KTH University Instagram from the perspective of Southeast Asian students

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Annusyirvan Ahmad Fatoni; [2021]
    Keywords : Social media marketing; Instagram marketing; higher education market; Southeast Asian students; trust;

    Abstract : This exploratory study identifies the importance of Instagram to market universities in Southeast Asia and the strategies to make interesting content to reach more Southeast Asian students. According to the statistics in 2020 by Statista, Southeast Asia is ranked second in the world’s most active social media users, and Instagram is now quickly catching up with the giant platform Facebook and becoming the rising star. READ MORE

  3. 3. Image Captioning On General Data And Fashion Data : An Attribute-Image-Combined Attention-Based Network for Image Captioning on Mutli-Object Images and Single-Object Images

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Guoyun Tu; [2020]
    Keywords : Image captioning; fashion data; attention based; text attributes; Bildtexter; modedata; uppmärksamhetsbaserat; textattribut;

    Abstract : Image captioning is a crucial field across computer vision and natural language processing. It could be widely applied to high-volume web images, such as conveying image content to visually impaired users. Many methods are adopted in this area such as attention-based methods, semantic-concept based models. READ MORE