TY - GEN
T1 - Hipster wars
T2 - 13th European Conference on Computer Vision, ECCV 2014
AU - Kiapour, M. Hadi
AU - Yamaguchi, Kota
AU - Berg, Alexander C.
AU - Berg, Tamara L.
PY - 2014
Y1 - 2014
N2 - The clothing we wear and our identities are closely tied, revealing to the world clues about our wealth, occupation, and socio-identity. In this paper we examine questions related to what our clothing reveals about our personal style. We first design an online competitive Style Rating Game called Hipster Wars to crowd source reliable human judgments of style. We use this game to collect a new dataset of clothing outfits with associated style ratings for 5 style categories: hipster, bohemian, pinup, preppy, and goth. Next, we train models for between-class and within-class classification of styles. Finally, we explore methods to identify clothing elements that are generally discriminative for a style, and methods for identifying items in a particular outfit that may indicate a style.
AB - The clothing we wear and our identities are closely tied, revealing to the world clues about our wealth, occupation, and socio-identity. In this paper we examine questions related to what our clothing reveals about our personal style. We first design an online competitive Style Rating Game called Hipster Wars to crowd source reliable human judgments of style. We use this game to collect a new dataset of clothing outfits with associated style ratings for 5 style categories: hipster, bohemian, pinup, preppy, and goth. Next, we train models for between-class and within-class classification of styles. Finally, we explore methods to identify clothing elements that are generally discriminative for a style, and methods for identifying items in a particular outfit that may indicate a style.
UR - http://www.scopus.com/inward/record.url?scp=84906509665&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-10590-1_31
DO - 10.1007/978-3-319-10590-1_31
M3 - Conference contribution
AN - SCOPUS:84906509665
SN - 9783319105895
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 472
EP - 488
BT - Computer Vision, ECCV 2014 - 13th European Conference, Proceedings
PB - Springer Verlag
Y2 - 6 September 2014 through 12 September 2014
ER -