Evaluating Face Tracking for Political Analysis in Japanese News Over a Long Period of Time

Author:

Ren Haolin1,Yang Fan2,Renoust Benjamin3,Matsui Yusuke4,Kobayashi Tetsuro5,Satoh Shin'ichi6

Affiliation:

1. National Institute of Informatics, Japan

2. The University of Tokyo and National Institute of Informatics, Japan

3. Osaka University, Institute for Datability Science and National Institute of Informatics, Japan

4. The University of Tokyo, Japan

5. City University of Hong Kong, Hong Kong

6. National Institute of Informatics and The University of Tokyo, Japan

Publisher

ACM

Reference35 articles.

1. Predicting political elections from rapid and unreflective face judgments

2. C Fabian Benitez-Quiroz Ramprakash Srinivasan Qianli Feng Yan Wang and Aleix M Martinez. 2017. Emotionet challenge: Recognition of facial expressions of emotion in the wild. arXiv preprint arXiv:1703.01210(2017). C Fabian Benitez-Quiroz Ramprakash Srinivasan Qianli Feng Yan Wang and Aleix M Martinez. 2017. Emotionet challenge: Recognition of facial expressions of emotion in the wild. arXiv preprint arXiv:1703.01210(2017).

3. Facewarehouse: A 3d facial expression database for visual computing;Cao Chen;IEEE Transactions on Visualization and Computer Graphics,2013

4. VGGFace2: A Dataset for Recognising Faces across Pose and Age

5. Mark Everingham Josef Sivic and Andrew Zisserman. 2006. Hello! My name is... Buffy”–Automatic Naming of Characters in TV Video.. In BMVC Vol. 2. 6. Mark Everingham Josef Sivic and Andrew Zisserman. 2006. Hello! My name is... Buffy”–Automatic Naming of Characters in TV Video.. In BMVC Vol. 2. 6.

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2. Face Detection, Tracking, and Classification from Large-Scale News Archives for Analysis of Key Political Figures;Political Analysis;2023-11-06

3. Analysis of Faces in a Decade of US Cable TV News;Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining;2021-08-14

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