Movie posters classification into genres based on low-level features (CROSBI ID 613200)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Ivašić-Kos, Marina ; Pobar, Miran ; Mikec, Luka
engleski
Movie posters classification into genres based on low-level features
A person can quickly grasp the genre (drama, comedy, cartoons, etc.) from a movie poster, regardless of visual clutter and the level of details. Bearing this in mind, it can be assumed that simple properties of a movie poster should play a significant role in automated detection of movie genres. Therefore, low-level features based on colors and edges are extracted from poster images and used for poster classification into genres. In this paper, poster classification is modeled as a multilabel classification task, where a single movie may belong to more than one class (genre). To simplify and solve the multilabel problem, two methods for multi-label data transformation are described and evaluated given the classification results obtained by distance ranking, Naïve Bayes and RAKEL. Experiments are conducted on a set of 1500 posters with 6 movie genres. Results provide insights into the properties of the discussed algorithms and features.
multi-label classification ; data transformation method ; movie poster
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Podaci o prilogu
1448-1453.
2014.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Biljanović, Petar
Rijeka: Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO
978-953-233-078-6
Podaci o skupu
International Convention on Information and Communication Technology, Electronics and Microelectronics (37 ; 2014))
predavanje
26.05.2014-30.05.2014
Opatija, Hrvatska