Abstract: An apparatus, a system, and a method for providing a customized clothing recommendation service are provided. The method for providing a customized clothing recommendation service recommending clothing products with a neckline suitable for a user by a neckline recommendation service providing server, comprises: constructing a database for storing clothing product information matching neckline type information to clothing products; receiving an image of a user's upper body; detecting a face from the received upper body image and determining a face type of the detected face; and determining neckline type information matching the determined face type and detecting one or more clothing products matching the determined neckline type information; and providing the detected clothing products to the user.

Abstract: A system and a method for detecting image forgery through a convolutional neural network are capable of detecting image manipulation of compressed and/or color images. The system comprises a manipulated feature pre-processing unit applying an input image to a high-pass filter to enhance features due to image forgery; a manipulated feature extraction unit extracting image manipulated feature information from the image with the enhanced features through a pre-trained convolutional neural network; a feature refining unit refining the extracted image manipulated feature information; and a manipulation classifying unit determining the image forgery based on the image manipulated feature information refined by the feature refining unit.

Abstract: A method and apparatus for predicting game difficulty by using a deep-learning based game play server predict a difficulty of stage maps of a match puzzle game using a deep-learning based game play server that performs the match puzzle game and modify the stage maps. The deep-learning based game play server includes: a communicator configured to receive first stage maps of a first size and second stage maps of a second size; memory configured to store an agent model; at least one processor configured to perform learning of the agent model and perform the match puzzle game using the learned agent model.

Abstract: A method and system for creating a virtual image based on deep learning according to an embodiment of the present disclosure creates a virtual image based on deep learning by an image application executed by a processor of a computing device, where the method comprises obtaining a plurality of product images with respect to one product; classifying the obtained product images into a plurality of categories according to different pose types; determining a target category from among the plurality of categories for which the virtual image is to be created; creating a virtual image of a first pose type matched to the determined target category based on at least one product image among the plurality of product images; and displaying the created virtual image.

Abstract: A method for providing a product search result of a meta shopping mall comprises constructing a database by receiving store information and product information from servers for stores; receiving the store information and the product information from the stores, generating a store index document and a product index document including search words, and storing the store index document and the product index document on the database; generating keyword comprehensive information about a store which has registered a keyword, generating a keyword index document matching the keyword to the store which has registered the keyword, and storing the keyword index document on the database; receiving a search word input from a user; and searching the keyword index document within the database for the search word and providing the user with a store search result output interface for a product corresponding to the keyword.

Abstract: A method and apparatus provide a virtual clothing wearing service based on deep-learning. A virtual clothing wearing server based on deep-learning includes a communicator configured to receive a user image and a v clothing image; a memory configured to store a program including first and second deep-learning models; a processor configured to generate an image of virtually dressing a virtual wearing clothing on a user. The program is configured to: generate, by the first deep-learning model, a transformed virtual wearing clothing image by transforming the virtual wearing clothing image in accordance with a body of the user in the user image based on the user image and the virtual wearing clothing image, and generate, by the second deep-learning model, the virtual wearing person image by dressing the transformed virtual wearing clothing on the body of the user based on the user image and the transformed virtual wearing clothing image.

Abstract: A method for providing similar or related products based on deep-learning, which is performed by a data processing unit of a shopping mall server, includes: acquiring an item image and item information for an item registered in a shopping mall; detecting bounding boxes for one or more objects by object-detecting the item image; setting a bounding box for an object associated with the item based on the item information; creating a main bounding box image by cropping a portion of the item image in the set bounding box; creating a padding image by padding-processing the main bounding box image; extracting a feature vector for the padding image; matching the feature vector with the item and storing the feature vector in a database; and creating the database for a similar or related product search service.