Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A sketch recognition method and an application of the method in commodity retrieval

A technology of sketch recognition and sketch, which is applied in the field of sketch recognition that integrates deep learning and semantic tree, can solve time-consuming and difficult problems, and achieve the effects of enhancing user experience, improving satisfaction, and meeting retrieval needs

Active Publication Date: 2019-02-12
ANHUI UNIVERSITY
View PDF5 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In this case, it becomes a time-consuming and difficult task to purchase products that satisfy users

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A sketch recognition method and an application of the method in commodity retrieval
  • A sketch recognition method and an application of the method in commodity retrieval
  • A sketch recognition method and an application of the method in commodity retrieval

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0029] Embodiment 1: as figure 1 , figure 2 and image 3 As shown, the present embodiment is described with a sketch of an aircraft, a sketch recognition method, comprising the following steps:

[0030] S1. Get the sketch:

[0031] Specifically in this embodiment, the user draws a sketch by hand and inputs it into the system.

[0032] S2. The system performs component segmentation with semantic information on the acquired sketch:

[0033] Specifically in this embodiment, after acquiring the user’s hand-drawn sketch image, the data-driven sketch segmentation and labeling algorithm can be used to split the sketch into stroke layers, and then combine the sequence of strokes into stroke groups, including the sequence of strokes. Combine one by one; then use the existing 3D shape library, such as 3D shape galleries, Shape repository, etc., to iteratively compare the stroke group with the part diagram in the 3D shape library, and then use the label information of the 3D part to...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a sketch recognition method, which comprises the following steps of S1, obtaining pictures to be processed; S2, segmenting the collected picture into parts with semantic information to obtain a part diagram of the sketch; S3, obtaining the label of the component through identifying the component diagram by using the depth learning network model; S4, associating the semanticinformation of the component with the semantic information of the object to which the component belongs; S5, outputting the label of the object to which the part belongs obtained through the semantictree. The application of the method in commodity retrieval is characterizd by comprising the following steps of 1) obtaining picture information; 2) using a retrieval system to utilize the sketch recognition method to obtain the label of the article that the user wants to find according to the picture; 3) recommending the corresponding commodity for the user according to the identified label. Themethod and the application of the invention improve the correct rate of the identification of the complete sketch, save the time for the user to select the commodity, and enhance the user experience.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a sketch recognition method integrating deep learning and semantic trees. Background technique [0002] With the popularity of the Internet, online shopping has become the preferred consumption method for people in today's society. Users only need to enter the name of the desired item on the shopping website to select the item and then place an order, which is convenient for the user and reduces the shopping cost. It is also convenient for merchants and reduces the transit cost of middlemen. However, the current way for users to purchase commodities is limited to inputting commodity names or photos of real objects, and then obtaining a recommendation list. In real life, in some cases, the user does not know the exact name of the product, nor does he have a photo of the product, and only has a rough shape in his mind. In this case, it becomes a time-consuming and difficult task t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/11G06F16/53G06Q30/06
CPCG06Q30/0603G06T7/11G06T2207/20172G06F18/22
Inventor 赵鹏冯晨成韩莉
Owner ANHUI UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com