Alibaba Group Holding Limited

Menglei Jia

Wei Feng

Ding Sheng

Wei Zhu

Lin Bin

Didi Yao

Weizhi Xie

Shurong He

Jianhong Wang

Xiaoying Hu

Jianfeng Guo

Keyang Shi

Embodiments of the disclosure disclose a store system, and a method and an apparatus for processing information of clothing items for try-on. The store system comprises: a first device, deployed in a back warehouse area of a store and configured to obtain corresponding relationship between a user and information of one or more clothing items for try-on; and provide preparation prompt information based on the corresponding relationship to prepare the one or more clothing items for the user; and a fitting room, the fitting room comprising a first door and a second door, the first door configured for the user to enter and exit the fitting room, and the second door configured for delivering the one or more clothing items for try-on corresponding to the user from the back warehouse area to the fitting room.

System, method, and apparatus for processing clothing item information for try-on

Image processing includes dividing the plurality of images into a plurality of groups wherein images in the same group share the same main color; extracting a color feature vector (CFV) of each image in the plurality of groups; subdividing images in each of the plurality of groups into a plurality of subgroups using a clustering technique according to a distance between the CFVs of the images in the group to establish an image signature tree; searching among the plurality of subgroups for a result-subgroup having the same main color as the main color of a given image and containing an image whose CFV has the shortest distance from the CFV of the given image; comparing the CFV of the given image with the CFVs in the result group; and identifying a near-duplicate image from the result group that meets a preset near-duplicate image determining condition.

Method and system for near-duplicate image searching

Image processing includes receiving a plurality of images to be grouped; dividing the plurality of images into a plurality of groups wherein the images in the same group share the same main color; receiving a given image; searching among the plurality of groups for a result group having the same main color as the main color of the given image; extracting a plurality of image features of the given image and the images in the result-group; comparing the image features of the given image with the image features of each image in the result group; and identifying a near-duplicate image from the result group that meets a preset near-duplicate image determining condition.

An image recognition technique includes obtaining color characteristic values of pixels in a source image; determining a main color of the source image based at least in part on the color characteristic values; and determining whether the source image is a non-product image based at least in part on the main color of the source image.

Non-product image identification

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Hangzhou, China

Menglei Jia