Content-based image search method and device

A picture search and picture technology, applied in the field of content-based picture search methods and devices, can solve problems such as inability to accurately understand user needs, waste of user energy, and failure to obtain

Inactive Publication Date: 2014-05-14
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF4 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, the existing content-based image search technology cannot accurately understand the user's needs. The search results returned to the user often make the user unable to quickly

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
  • Content-based image search method and device
  • Content-based image search method and device
  • Content-based image search method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0080] figure 1 It is a flow chart of the content-based image search method provided by Embodiment 1 of the present invention, as shown in figure 1 As shown, the method specifically includes the following steps:

[0081] Step 101: Obtain the picture that the user wants to search for.

[0082] When a user needs to search for images, he will upload the image to be searched to the search engine or drag a pair of images to the location specified by the search engine, etc., and the search engine will first obtain the images that the user searches through these methods.

[0083] Step 102: Retrieve the picture to be searched from the picture library based on the content of the picture to obtain related pictures.

[0084] In this step, the local features are first extracted from the image to be searched, and the local features can be extracted using Gaussian difference (DoG, Difference of Gaussian) filter operator and scale-invariant feature transform (SIFT, Scale-invariant feature ...

Embodiment 2

[0124] image 3 The structural diagram of the content-based image search device provided by Embodiment 2 of the present invention, as shown in image 3 As shown, the device includes: a picture acquisition unit 300 , a picture retrieval unit 310 , a candidate word extraction unit 320 , a subject word selection unit 330 , a picture sorting unit 340 and a result output unit 350 .

[0125] The picture obtaining unit 300 is configured to obtain a picture to be searched by the user. When the user needs to search for images, he will upload the image to be searched to the search engine or drag a pair of images to the location specified by the search engine, etc., and the image acquisition unit 300 first acquires the images that the user searches through these methods.

[0126]The image retrieval unit 310 is configured to retrieve the image to be searched from the image library based on the image content to obtain related images. Specific implementation: extract local features from t...

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 provides a content-based image search method and device. The method includes: acquiring an image that a user needs to search for; searching for the image, to be searched, in an image library on the basis of image content, thereby obtaining the related images; extracting candidate subject terms from context of the related images; determining confidence coefficient of the candidate subject terms, by fusing statistical characteristics of the candidate subject terms to at least one of property characteristics, structural characteristics, field characteristics and term relation characteristics, and selecting subject terms from the candidate subject terms according to the confidence coefficient; according to conditions of similarity of the selected subject terms to the related images, ranking the related images, including the images in search results, and returning the search results to a user. The content-based image search method and device has the advantages that image search results that users require can be accurately provided, system resources are saved and user experience is improved.

Description

【Technical field】 [0001] The invention relates to the field of computer application technology, in particular to a content-based image search method and device. 【Background technique】 [0002] Among all kinds of information that people obtain, auditory information accounts for 20%, visual information accounts for 60%, and other information accounts for 20%. It can be seen that picture information occupies an important position in people's information life. How to obtain the picture information needed by users faster and better is an important issue to be solved urgently. With the rapid development of the Internet, more and more people expect to obtain the picture information they need from this information. However, in the face of a huge amount of picture information, it is not easy to accurately obtain the information users need, so content-based picture search Technology came into being. [0003] However, the existing content-based image search technology cannot accurate...

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
IPC IPC(8): G06F17/30
CPCG06F16/583
Inventor 方高林
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap