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Pregled bibliografske jedinice broj: 723607

Zbornik radova

Autori: Ivašić-Kos, Marina; Pobar, Miran; Ipšić, Ivo
Naslov: Automatic Movie Posters Classification into Genres
Izvornik: Advances in Intelligent Systems and Computing 311 / Madevska Bogdanova, Ana ; Gjorgjevikj, Dejan (ur.). - Springer , 2014. 319-328 (ISBN: 978-3-319-09878-4).
ISSN: 2194-5357
Skup: ICT Innovations 2014
Mjesto i datum: Ohrid, Makedonija, 9-12.9.2014.
Ključne riječi: multi-label classification; data transformation method; movie poster
Sažetak:
A person can quickly grasp the movie genre (drama, comedy, cartoons, etc.) from a poster, regardless of short observation time, clutter and variety 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, visual features based on colors and structural cues are extracted from poster images and used for poster classification into genres. A single movie may belong to more than one genre (class), so the poster classification is a multi-label classification task. To solve the multi-label problem, three different types of classification methods were applied and described in this paper. These are: ML-kNN, RAKEL and Naïve Bayes. ML-kNN and RAKEL methods are directly used on multi-label data. For the Naïve Bayes the task is transformed into multiple single-label classifications. Obtained results are evaluated and compared on a poster dataset using different feature subsets. The dataset contains 6000 posters advertising films classified into 18 genres. The paper gives insights into the properties of the discussed multi-label clas-sification methods and their ability to determine movie genres from posters using low-level visual features.
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Projekt / tema: 318-0361935-0852
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Računarstvo,Informacijske i komunikacijske znanosti
Upisao u CROSBI: Miran Pobar (mpobar@inf.uniri.hr), 25. Lis. 2014. u 17:30 sati



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