Image Retrieval Method Based on Sparse Nonnegative Matrix Factorization
A non-negative matrix decomposition and image retrieval technology, applied in the field of image retrieval based on sparse non-negative matrix decomposition, which can solve the problem of ignoring sparsity control and so on
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0078] figure 2 The comparison results between the image retrieval of the present invention and other methods are given.
[0079] 1) Querying and extracting the image and its accompanying text of the retrieval result respectively under two different image data sources according to two different keyword sets to form the first image data set D 1 and a second image dataset D 2 ;
[0080] 2) Extract the tags in the accompanying text, and filter to form a vocabulary according to word frequency;
[0081] 3) For each image data set, use the association relationship between the label and the image to form an association matrix X between the label and the image 1 、X 2 ;
[0082] 4) Use the sparse non-negative matrix factorization to analyze the correlation matrix obtained in step 3) to obtain the shared subspace w of data from different sources 12 and the corresponding independent subspace w 1 、w 2 ;
[0083] 5) Carry out a series of queries on the images on a certain data so...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
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