Evaluating face tracking for political analysis in Japanese news over a long period of time

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)

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Author(s)

  • Haolin Ren
  • Fan Yang
  • Benjamin Renoust
  • Yusuke Matsui
  • Shin'ichi Satoh

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WI 2019 Companion)
EditorsPayam Barnaghi, Georg Gottlob, Dimitrios Katsaros, Yannis Manolopoulos, Rahul Pandey, Theodoros Tzouramanis, Athena Vakali
PublisherAssociation for Computing Machinery, Inc
Pages51-58
ISBN (Print)978-1-4503-6988-6
Publication statusPublished - 14 Oct 2019

Conference

Title19th IEEE/WIC/ACM International Conference on Web Intelligence Workshop, WI 2019
PlaceGreece
CityThessaloniki
Period14 - 17 October 2019

Abstract

TV news is the major source of political information for most of the people, exercising a strong influence on public opinion. Japanese news media try to carefully balance politicians' representation, but it is important to empirically examine this balance longitudinally. However, it is a tedious, and in many cases impossible task to achieve manually, especially when the news archive covers over a decade. We therefore rely on automatic procedures to do it computationally rather than manually. In this paper, we compare the two face tracking methods as well as a traditional text-based method by using the same dataset of Japanese broadcasting news spanning over a decade. We evaluate the three methods againsta manually curated random sample of NHK's News 7, the flagship news program of the Japanese public broadcasting. The first tracking method is inherited from previous works used on the same dataset and based on traditional Viola-Jones detections and VGGFace for embeddings. Our second method uses modern deep learning techniques with MTCNN for face detection, and ResNet50 trained with VGGFace2 for embeddings. We not only demonstrate that our modern implementation outperforms the two other methods, but also discuss implications and application for social scientific studies.

Research Area(s)

  • Evaluation, Face detection and tracking, Japanese news

Bibliographic Note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Citation Format(s)

Evaluating face tracking for political analysis in Japanese news over a long period of time. / Ren, Haolin; Yang, Fan; Renoust, Benjamin; Matsui, Yusuke; Kobayashi, Tetsuro; Satoh, Shin'ichi.

Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WI 2019 Companion). ed. / Payam Barnaghi; Georg Gottlob; Dimitrios Katsaros; Yannis Manolopoulos; Rahul Pandey; Theodoros Tzouramanis; Athena Vakali. Association for Computing Machinery, Inc, 2019. p. 51-58.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)