6533b821fe1ef96bd127b483
RESEARCH PRODUCT
Assessing movie similarity using a multilayer network model
Majda LafhelYoussef MourchidBenjamin RenoustHocine CherifiMohammed El Hassounisubject
Network portrait[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]MoviesMultilayer networksNetwork similarity[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO]Computer Science [cs][INFO] Computer Science [cs]GeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)ComputingMilieux_MISCELLANEOUSdescription
International audience; This work investigates the movie similarity issue. A multilayer network model capturing various aspects of the story is built from movie scripts. Based on this representation, movies are compared not from summary or actors but using their storyboard. We rely on the "Portrait divergence" to quantify distances between graph characteristics. We illustrate the effectiveness of this approach in comparing movie series.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-05-26 |