Clothing fashion style recommendation system
Permanent URL:
http://hdl.handle.net/2047/D20193616
Liu, Yongmin (Committee member)
Kong, Yu (Committee member)
In the first part, we present a clothing dataset collected from Internet containing 27,375 men's and women's clothing images of 11 clothing categories. We develop a recommendation system that can differentiate fashion categories of query images. We propose a framework that divides the system into three decoupled and autonomous components in order to provide a highly flexible and extensible system. Then we describe an implementation of this framework on a Linux server. To demonstrate this clothing recommendation system we also develop two user interfaces, including a Web Application and an iOS App. Lastly, we discuss the approaches to secure the system and user privacy.
We set up a Demo of this clothing recommendation system running on iPhone, which can achieve promising results within 5 seconds.
clothing recommendation system
web application
Optical pattern recognition
Content-based image retrieval
Image processing -- Digital techniques
Database design
Decoupling (Mathematics)
Application software -- Development
Mobile apps -- Design
Fashion -- Databases
Clothing and dress -- Databases
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