Who are the Devils Wearing Prada in New York City?

Abstract

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

When Fashion Meets Big Data

“…These examples indicate the clothing feature detection models are very reasonable and effective for clothing features representation. It is worth noting that we summarize the experimental results of the clothing detection model in this paper and the detailed discussion of quantitative results is in [13]. Table 2 shows classic/attractive, popular, and unpopular clothing features on the online clothing shopping dataset.…”

“…Consequently, we compute the classification performance of each feature to represent the importance of features as weights towards individual attributes. As a result, we adopt a Support Vector Machine (SVM) [11] with a Chisquare kernel to learning 60 clothing attribute models [13] and a weighting parameter are applied to vectors from different features to emphasize the importance of different visual features.…”

“…The research closely related to our work could be mainly classified into two categories: clothing fashion analysis and product feature analysis by customer reviews. For clothing fashion analysis, most existing fashion analysis works focused on the investigation of the clothing attributes, such as clothing parsing [10] [29][31] [27] [36], fashion trend [19] [13] and clothing retrieval [23] [28]. For product feature analysis by customer reviews, the research studies [21][25] [22] [20] considered customer reviews and proposed systems to summarize all the customer reviews of a product.…”

Learning Discrete Hashing Towards Efficient Fashion Recommendation

“…Forecasting future fashion trend is also an interesting way [1] to recommend fashion outfits before they occur. A study in [7] investigates the correlation between attributes popular in New York fashion shows versus what is seen later on the street. Another model [1] analyses fine-grained visual styles from large-scale fashion data in an unsupervised manner to identify unique style signatures.…”

Feature representation and learning methods in visual search applications

“…By observing the fashion images from New York Fashion Week (NYFW) event, the authors in [171] studied trends for style elements such as color, pattern, etc. In the same spirit, [172] studied the influence of New York Fashion show on street fashion in New York. The work in [173] used transaction history from Taobao shopping site to mine the best selling clothing attributes for winter and spring seasons.…”