short-paper

What are the Fashion Trends in New York?

Authors:

Shintami C. Hidayati,

Kai-Lung Hua,

Wen-Huang Cheng,

Shih-Wei SunAuthors Info & Claims

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

Pages 197 - 200

https://doi.org/10.1145/2647868.2656405

Published: 03 November 2014 Publication History

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Abstract

Fashion is a reflection of the society of a period. Given that New York City is one of the world's fashion capitals, understanding its change in fashion becomes a way to know the society and the times. To keep up with fashion trends, it is important to know what's " in" and what's "out" for a season. Though the fashion trends have been analyzed by fashion designers and fashion analysts for a long time, this issue has been ignored in multimedia science. In this paper, we present a novel algorithm that automatically discovers visual style elements representing fashion trends for a certain season. The visual style elements are discovered based on the stylistic coherent and unique characteristics. The experimental results demonstrate the effectiveness of our proposed method through a large number of catwalk show videos.

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Cited By

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Jing PZhang KLiu XLi YLiu YSu Y(2024)Dual Preference Perception Network for Fashion Recommendation in Social Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2023.331938611:5(7893-7903)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JIOT.2023.3319386
Chen HShuai HCheng W(2023)A Survey of Artificial Intelligence in FashionIEEE Signal Processing Magazine10.1109/MSP.2022.323344940:3(64-73)Online publication date: May-2023
https://doi.org/10.1109/MSP.2022.3233449
Rawate SVayadande KChaudhary SManmode SSuryavanshi RChanda K(2023)Fashion Classification ModelTechno-societal 202210.1007/978-3-031-34644-6_7(59-67)Online publication date: 23-Sep-2023
https://doi.org/10.1007/978-3-031-34644-6_7
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Index Terms

What are the Fashion Trends in New York?
1. Information systems
  1. Information retrieval
    1. Retrieval models and ranking

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Published In

MM '14: Proceedings of the 22nd ACM international conference on Multimedia

November 2014

1310 pages

ISBN:9781450330633

DOI:10.1145/2647868

General Chairs:
Kien A. Hua
University of Central Florida, USA
,
Yong Rui
Microsoft Research, China
,
Ralf Steinmetz
Technische Universitt Darmstadt, Germany
,
Program Chairs:
Alan Hanjalic
Delft University of Technology, Netherlands
,
Apostol (Paul) Natsev
Google, USA
,
Wenwu Zhu
Tsinghua University, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 03 November 2014

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MM '14: 2014 ACM Multimedia Conference

November 3 - 7, 2014

Florida, Orlando, USA

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MM '14 Paper Acceptance Rate 55 of 286 submissions, 19%;

Overall Acceptance Rate 995 of 4,171 submissions, 24%

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MM '24

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The 32nd ACM International Conference on Multimedia

October 28 - November 1, 2024

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Jing PZhang KLiu XLi YLiu YSu Y(2024)Dual Preference Perception Network for Fashion Recommendation in Social Internet of ThingsIEEE Internet of Things Journal10.1109/JIOT.2023.331938611:5(7893-7903)Online publication date: 1-Mar-2024
https://doi.org/10.1109/JIOT.2023.3319386
Chen HShuai HCheng W(2023)A Survey of Artificial Intelligence in FashionIEEE Signal Processing Magazine10.1109/MSP.2022.323344940:3(64-73)Online publication date: May-2023
https://doi.org/10.1109/MSP.2022.3233449
Rawate SVayadande KChaudhary SManmode SSuryavanshi RChanda K(2023)Fashion Classification ModelTechno-societal 202210.1007/978-3-031-34644-6_7(59-67)Online publication date: 23-Sep-2023
https://doi.org/10.1007/978-3-031-34644-6_7
Zhu MZhan S(2022)Research and implementation of a trend prediction model based on trend similarity for the changing trends of fashion elements in clothingProceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering10.1145/3573428.3573685(1460-1466)Online publication date: 21-Oct-2022
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