日韩精品久久一区二区三区_亚洲色图p_亚洲综合在线最大成人_国产中出在线观看_日韩免费_亚洲综合在线一区

Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Technology

The robofashion makeover

By Sylvia Chang | China Daily | Updated: 2018-11-26 09:15
Share
Share - WeChat
Visitors experience smart fitting at Alibaba's booth at an exhibition in Fuzhou, Fujian province, in April. [Photo by Zhu Xingxin / China Daily]

Applying AI to makeup

More fashion brands are applying AI technologies. Cosmetics giant L'Oreal has a smartphone app that allows customers to "try on" lipsticks, eye shadow and eyelash styles. Luxury brands like Burberry give shoppers intelligent advice on which fashion items suit them best.

"AI enhancements will go beyond the traditional areas of machine tasks into creative and customer-interaction processes, blurring the line between technology and creativity," US management consulting firm McKinsey & Company said in a report on fashion trends this year.

Fashion is about design and the customer's emotions and feelings - combining physical materials with human senses. So how can it be read by a machine?

The first step, said Calvin Wong, a professor at Hong Kong Polytechnic University's Institute of Textiles and Clothing, is to teach the machine to analyze a fashion image.

That ensures "the machine understands the fashion world", said Wong, who is leading a team of a dozen researchers that is working with Alibaba Group to enhance the search functions on its Taobao e-commerce platform.

The biggest challenge facing Taobao is the sheer chaos of products that have not been properly tagged, said Jia Menglei, a senior engineer at Alibaba, with customers complaining that it's hard to find what they're looking for.

Li Yuan, 26, and a keen online shopper, said: "There are just tons of items on Taobao. I often have to spend hours on it selecting what I need.

"Sometimes it makes me feel dizzy."

Jia said using a data set of fashion attributes produced by Wong's team will make tagging more exact and predictable, allowing Alibaba to "rebuild the world map of consumer goods".

Understanding images

Apparel comes in innumerable patterns, each with different characteristics and elements that define it as "fashion". The variety of materials, colors, shapes and styles creates skirts, pants, T-shirts, dresses, sweaters and other items that appeal to a range of tastes.

Take a sweater. It can have a puritan collar, a shirt collar, a rib collar - the list goes on. To train a machine to understand a sweater, you need to install a data set of images of all kinds of sweaters, tagged with their design attributes. The AI network, or a single machine trained to have predictive ability, would then recognize a specific type of sweater the next time it sees one.

The data set is most important. It serves as a guideline for the machine's learning process and sets the foundation for all follow-up research.

"It needs to be professional enough to meet the requirements of machine training," Wong said, including complete and precise attributes for each style that may be applied to the basic image.

"For a sweater with a turtleneck, you need to give it a tag both as a sweater and a turtleneck. If it's identified sometimes as a sweater and sometimes as a turtleneck, the machine will be confused."

Wong said the accuracy of searches for clothing images on the internet is only about 50 percent, something he attributes to the lack of sufficient professional data.

The AI system adopted by Alibaba has been trained to recognize more than 500,000 outfits.

The second level of AI application in fashion is to analyze current styles, evaluate their most popular elements, provide recommendations and even predict trends.

Wong said that if a machine has a data set of the latest images of outfits in the fashion world, it could calculate which elements are emerging as popular and may become the trend of the foreseeable future. Then it could offer recommendations for consumers, based on predictive analysis and individual preferences.

The team expects that in the near future AI will be able to collect more data from customers, providing important information about the popularity of certain styles. The data can note the amount of time a customer spends looking at a particular piece of clothing using a "smart mirror" and whether they decide to buy it, along with other aspects of the fashion experience.

Alibaba will combine data from Taobao with that collected in offline shops, aiming to provide an all-around data service for the industry - from fashion design and material selection to storage and logistics.

AI appears set to transform the fashion industry, but is there anything a machine is not likely to master in the near future?

Yes, said Wong, because, in the end, designers are irreplaceable. The core of design is the inspiration, he said, and a machine can only serve as an assistant, at best.

|<< Previous 1 2   
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
CLOSE
 
主站蜘蛛池模板: 国产高清在线看 | 小明看看成人免费视频 | 曰韩精品| 久久久久久国产精品 | 精品免费国产一区二区三区 | 国产精品毛片一区二区三区 | 亚洲成人精品久久 | 日韩欧美一区二区三区不卡在线 | 精品久久一区二区 | 三级黄毛片 | 亚洲综合99 | 成人激情视频在线观看 | 国内精品一区二区 | 亚洲高清一区二区三区 | 三级黄色毛片视频 | 亚洲99影视一区二区三区 | 久久av网| 亚洲一区二区三区日本久久九 | 日韩欧美一区二区三区久久 | 午夜视频在线观看www中文 | 国产色情A片国语露对白 | 日韩毛片高清免费 | 伊人伊人网 | 国产精品久久久久久影视 | 国产成人福利 | 久久新地址 | 欧美系列在线播放 | 国产精品99爱免费视频 | 波多野吉衣 免费一区 | 亚洲一区二区三 | 黑色丝袜三级在线播放 | 欧美电影大全 | 欧美精选在线 | 玖玖精品视频在线观看 | 激情黄视频| 在线观看亚洲精品 | 久久久精品一区二区三区 | 欧美精品成人a多人在线观看 | 精品久久久久久亚洲 | 日本欧美久久久久免费播放网 | a级毛片免费高清视频 |