  Fashion is a perpetual topic in human social life, and the mass has the
penchant to emulate what large city residents and celebrities wear. Undeniably,
New York City is such a bellwether large city with all kinds of fashion
leadership. Consequently, to study what the fashion trends are during this
year, it is very helpful to learn the fashion trends of New York City.
Discovering fashion trends in New York City could boost many applications such
as clothing recommendation and advertising. Does the fashion trend in the New
York Fashion Show actually influence the clothing styles on the public? To
answer this question, we design a novel system that consists of three major
components: (1) constructing a large dataset from the New York Fashion Shows
and New York street chic in order to understand the likely clothing fashion
trends in New York, (2) utilizing a learning-based approach to discover fashion
attributes as the representative characteristics of fashion trends, and (3)
comparing the analysis results from the New York Fashion Shows and street-chic
images to verify whether the fashion shows have actual influence on the people
in New York City. Through the preliminary experiments over a large clothing
dataset, we demonstrate the effectiveness of our proposed system, and obtain
useful insights on fashion trends and fashion influence.
