Concepedia

Machine Learning-based Subtitle Segmentation

Machine Learning-Based Subtitle Segmentation is a computational method within subtitle processing that employs machine learning algorithms to automatically divide continuous audiovisual content into temporally coherent textual segments, distinguished by its reliance on data-driven models to learn segmentation patterns from annotated or unannotated examples.

6

Publications

136

Citations

24

Authors

8

Institutions

Publications per year

2017–2026

5

Parents

Publications

6

Customizing Neural Machine Translation for Subtitling

Evgeny Matusov, Patrick Wilken, Yota Georgakopoulou · 2019 · 51 citations · Full text

, , +17

VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset

Sihan Chen, Handong Li, Qunbo Wang et al. · arXiv (Cornell University) · 2023 · 28 citations · Full text

, , +11

Inter-Sentence Segmentation of YouTube Subtitles Using Long-Short Term Memory (LSTM)

Hye-Jeong Song, Jong-Dae Kim, Chan-Young Park et al. · Applied Sciences · 2019 · 18 citations · Full text

, , +9

Automatic turn segmentation for Movie & TV subtitles

Pierre Lison, Raveesh Meena · 2016 · 14 citations · Full text

, , +15

Dynamic Subtitle Placement Considering the Region of Interest and Speaker Location

Wataru Akahori, Tatsunori Hirai, Shigeo Morishima · 2017 · 13 citations · Full text

, , +9

1–5 of 6

Authors

24

  1. HA
    Haritz Arzelus

    Vicomtech, Spain

    1 publications · 12 citations

    1

    h-index

  2. WA
    Wataru Akahori

    Komazawa University, Japan

    1 publications · 13 citations

    1

    h-index

  3. JL
    Jing Liu

    Chinese Academy of Sciences, China

    1 publications · 28 citations

    1

    h-index

  4. RM
    Raveesh Meena

    KTH Royal Institute of Technology, Sweden

    1 publications · 14 citations

    1

    h-index

  5. CM
    Carlos-D. Martínez-Hinarejos

    Universitat Politècnica de València, Spain

    1 publications · 12 citations

    1

    h-index

1–5 of 24

Institutions

8

  1. Hallym University

    Chuncheon, South Korea

    1 h-index

    5 publications

    90 citations

  2. Waseda University

    Tokyo, Japan

    1 h-index

    2 publications

    26 citations

  3. FH Aachen

    Aachen, Germany

    1 h-index

    3 publications

    153 citations

  4. Vicomtech

    Donostia / San Sebastian, Spain

    1 h-index

    4 publications

    48 citations

  5. Norwegian Computing Center

    Oslo, Norway

    1 h-index

    1 publications

    14 citations

  6. Komazawa University

    Tokyo, Japan

    1 h-index

    1 publications

    13 citations

  7. KTH Royal Institute of Technology

    Stockholm, Sweden

    1 h-index

    1 publications

    14 citations

  8. Universitat Politècnica de València

    Valencia, Spain

    1 h-index

    1 publications

    12 citations

1–8 of 8

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 28 citations

    1

    h-index

  2. Speech Communication

    1 publications · 12 citations

    1

    h-index

  3. Applied Sciences

    1 publications · 18 citations

    1

    h-index

1–3