Adaptive Image Retrieval Database

A database and image technology, applied in the field of retrieval, can solve problems such as not considering user preferences

Active Publication Date: 2015-11-25
MICROSOFT TECH LICENSING LLC
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, existing image retrieval systems do not consider user preferences

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
  • Adaptive Image Retrieval Database
  • Adaptive Image Retrieval Database
  • Adaptive Image Retrieval Database

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0013] overview

[0014] As noted above, state-of-the-art CBIR (Content-Based Image Retrieval) systems do not take into account user preferences and return images that do not reflect current trends in user preferences and / or interests. These systems retrieve images without taking into account that some images are more frequently queried by users, while other images may be less frequently accessed. Additionally, user preferences and interests change over time. Images that were of interest to the user in the past may not be of interest to the user now. Furthermore, novel and new image queries cannot be incorporated into the construction of image search / retrieval algorithms. A typical example is an image query about cars. For example, most users may be interested in new car models. If a user submits a query image that includes a car, the search engine needs to sense that the user may want images of a new car model, rather than an old car model. In short, prior art image sear...

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

Adaptive image retrieval image allows retrieval of images that are more likely to reflect a current trend of user preferences and / or interests, and therefore can provide relevant results to an image search. Adaptive image retrieval includes receiving image query log data from one or more clients, and updating a codebook of features based on the received query log data. The image query log data includes images that have been queried by the one or more clients within a predetermined period of time.

Description

technical field [0001] The present invention relates to retrieval, and more particularly to image retrieval. Background technique [0002] With the development of Internet technology, such as and Search engines such as , currently provide text-based image search services to Internet users. These image search services allow a user to enter keywords describing the images the user wants to find, and retrieve one or more database images based on the entered keywords. However, in order to retrieve the desired image, the entered keywords need to accurately and / or adequately describe the image. Furthermore, this type of image search requires that a database image have one or more text annotations to allow comparison and retrieval of that particular database image. Considering that there are millions of images on the Internet, this inevitably imposes a huge workload on search engines. Also, images must be accurately and completely tagged with text annotations in order to disc...

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 Patents(China)
IPC IPC(8): G06F17/30
CPCG06F17/30277G06F16/532G06F16/40
Inventor 杨林军田奇倪冰冰
Owner MICROSOFT TECH LICENSING LLC
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