Naslov
Aesthetic Quality Assessment of Headshots

Autori
Maleš, Matija ; Heđi, Adam ; Grgić, Mislav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka - Zagreb : Hrvatsko društvo Elektronika u pomorstvu (ELMAR), 2013, 89-92

ISBN
978-953-7044-14-5

Skup
55th International Symposium ELMAR-2013

Mjesto i datum
Zadar, Hrvatska, 25.09.2013. - 27.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Aesthetic Assessment; Photography; Headshot

Sažetak
An automated system that can provide feedback about aesthetic value or quality of headshot photos based on learned rules could be a very useful support in photo searching, sorting and editing. This is a challenging problem as it requires semantic understanding of photos, which is beyond the state-of-the-art in computer vision. In this paper, we present a method built on most important rules or guidelines used by professional photographers to assess aesthetic quality of headshots. Proposed method uses low-level features and face-related high-level features. We make use of popular machine learning algorithms, support vector machines and Real AdaBoost, to determine whether a headshot is aesthetically appealing or unappealing. The results of extensive experiments indicate that proposed method is valid and effective: the overall classification accuracy for binary classification is greater than 86 %. This work is difficult to compare with previous attempts to assess aesthetic quality as no other research group studied this particular field of photography before.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo

POVEZANOST RADA