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Smart dressing recommendation system based on image analysis and event information

IP.com Disclosure Number: IPCOM000241015D
Publication Date: 2015-Mar-19
Document File: 9 page(s) / 518K

Publishing Venue

The IP.com Prior Art Database

Abstract

The disclosed invention introduces a smart dressing recommendation system which provides recommended clothes list based on images analysis and event information to improve travel experience.

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Smart dressing recommendation system based on image analysis and event information

    [Background] When people plan to travel or go business trip to a foreign country, packing is the most bothering thing. People need to check local weather forecast and based on the weather condition, temperature, humidity and other information to determine what kind
of the clothes is appropriate to this trip. However, weather condition, such as sunny, cloudy, windy, etc, and temperature, humidity is just description and number and it could feel differently in different places. For example, some people feel cooler in a 15° with high humidity city than a 10° with low humidity city. Additionally, weather forecast is not detailed enough for some people, they may do more search on the Internet to check any recommendations provided by people who went that location before. It makes the packing a long and tedious work before people travel to that location.

    Thanks to the ubiquitous usage of mobile devices, there are a bunch of pictures uploaded to the Internet from all around the world every day. All pictures have location and date information, moreover, people dressing style in every pictures reflects the actual wearing in that place under specific weather condition. The data in pictures are valuable information and we can utilize and analyze the pictures content to get exactly what people wear in specific location, during specific time. We could provide more accurate and suitable clothes recommendation based on the data retrieved from the pictures in the real life. The data is more helpful than weather forecast number to end users!

    In this disclosure, we introduce a smart dressing recommendation system which provides recommended clothes list based on images analysis and event information to improve people travel experience.

    [Disclosure core idea] Our smart dressing recommendation system claims the following points:

A smart dressing recommendation system provides recommended clothes list based on


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images analysis and trip information.

The system collects images, processes image content and analyzes clothes type. It generates records for each picture, which could include:

Clothes type (image analysis)

Gender of people (image analysis)

Timestamp (image information)

Location (image information)

Weather Condition (query from timestamp and location)

The trip information is provided by user, which could include: Location


Date and duration

Trip type (ex. sightseeing, business)

Personal information (ex. gender, age)

The system processes trip information, queries clothes repository and returns recommended clothes list to user.

Based on location and date user is going to visit, the system queries weather condition of these days first. Based on the result from above, the system queries repository with matched weather condition and location to get a clothes list.

Based on other inputs (ex. gender, event type), the system queries repository to get

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