公开(公告)号：US20240037140A1

公开(公告)日：2024-02-01

申请号：US18212891

申请日：2023-06-22

Applicant: Omnious Co., Ltd.

Inventor： Jae Young JUN ,  Jun Cheol PARK ,  Yun Hun JANG ,  Hyung Won CHOI ,  Essalim CHAHRAZAD

IPC: G06F16/583 ,  G06F16/532 ,  G06T7/50 ,  G06T7/70 ,  G06T7/90 ,  G06V10/44 ,  G06V10/80

CPC classification number: G06F16/583 ,  G06F16/532 ,  G06T7/50 ,  G06T7/70 ,  G06T7/90 ,  G06V10/44 ,  G06V10/806 ,  G06V2201/07

Abstract: A method of searching for similar products using a multi-task learning (MTL) model is provided. The method includes: converting, by using a multi-task learning model utilizing a unified backbone network, each of an original image including a fashion item into a single vector including at least one multi-task attribute; and generating a visual search database by storing the original image and the single vector of the original image together.

公开(公告)号：US20240037912A1

公开(公告)日：2024-02-01

申请号：US18212901

申请日：2023-06-22

Applicant: Omnious Co., Ltd.

Inventor： Jae Young JUN ,  Jun Cheol PARK ,  Yun Hun JANG ,  Hyung Won CHOI

IPC: G06V10/764 ,  G06T7/11 ,  G06T7/50 ,  G06T7/90 ,  G06V20/70

CPC classification number: G06V10/764 ,  G06T7/11 ,  G06T7/50 ,  G06T7/90 ,  G06V20/70 ,  G06V2201/07 ,  G06T2207/10024 ,  G06T2207/30242

Abstract: A method for analyzing fashion attributes using large amounts of pieces of image data is provided. The method includes: collecting image data including at least one item; statistically analyzing on the image data based on an attribute classification AI model; and visualizing the results of the statistical analysis, wherein the attribute classification AI model is a model for detecting said at least one item included in the image data, and for recognizing, labeling and classifying fashion attributes of the at least one item.

公开(公告)号：US20200082476A1

公开(公告)日：2020-03-12

申请号：US16684318

申请日：2019-11-14

Applicant: OMNIOUS CO., LTD.

Inventor： Jae Young JUN ,  Hyun Jin LEE

IPC: G06Q50/00 ,  H04L12/58 ,  G06Q30/02 ,  H04L29/08 ,  G06F16/9535

Abstract: A method for measuring influence on a social network is provided. The method includes collecting social network service (SNS) data from an SNS, measuring a user influence index based on user account information among the SNS data and content information associated with the user account information, measuring an attribute influence value for an attribute included in image information based on the image information among the SNS data, measuring a product influence value for product information based on the user influence coefficient and the attribute influence value with respect to content including the product information, and curating the content including the product information based on the product influence value.