High-level cinematic knowledge to predict inter-observer visual congruency

Author:

Bruckert Alexandre1ORCID,Christie Marc2ORCID

Affiliation:

1. Nantes Université, France

2. Université de Rennes, France

Publisher

ACM

Reference23 articles.

1. Gaze Data for the Analysis of Attention in Feature Films

2. Alexandre Bruckert , Marc Christie , and Olivier Le Meur . 2022. Where to look at the movies: Analyzing visual attention to understand movie editing. Behavior Research Methods ( 2022 ), 1–20. Alexandre Bruckert, Marc Christie, and Olivier Le Meur. 2022. Where to look at the movies: Analyzing visual attention to understand movie editing. Behavior Research Methods (2022), 1–20.

3. Alexandre Bruckert , Yat Hong Lam , Marc Christie , and Olivier Le Meur . 2019 . Deep Learning For Inter-Observer Congruency Prediction. In 2019 IEEE International Conference on Image Processing (ICIP). 3766–3770 . https://doi.org/10.1109/ICIP.2019.8803596 10.1109/ICIP.2019.8803596 Alexandre Bruckert, Yat Hong Lam, Marc Christie, and Olivier Le Meur. 2019. Deep Learning For Inter-Observer Congruency Prediction. In 2019 IEEE International Conference on Image Processing (ICIP). 3766–3770. https://doi.org/10.1109/ICIP.2019.8803596

4. From The Cover: Cultural variation in eye movements during scene perception

5. Variability of eye movements when viewing dynamic natural scenes

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