Multi-image information retrieval system

Patent metadata

Field	Value
Publication number	US-11409790-B2
Application number	US-201916286953-A
Country	US
Kind code	B2
Filing date	Feb 27, 2019
Priority date	Feb 27, 2019
Publication date	Aug 9, 2022
Grant date	Aug 9, 2022

Abstract

A system, method, and computer-readable medium are disclosed for improved image search and retrieval. In various embodiments, a multi-image information retrieval system is implemented to perform image searching and provide image search results based on user intent. Returned image results include correlated images and associated information regarding objects such as product lines. Images can include metatags and are updated with correlated information.

First claim

What is claimed is:

1. A computer-implementable method for image search and retrieval comprising:
receiving a search request based on an image;
searching for objects which the image describes;
determining user intent regarding the search request, wherein the user intent is correlated to a user behavior pattern by a search pattern analyzer that processes image meta data and key phrases, and wherein the user behavior pattern is determined by different ways users look for information using different key phrases related to a piece of information at any given time the piece of information appears against a specific key phrase;
providing a behavior learning implementation by implementing an n×1 approach wherein n is different ways a user looks at information and 1 is piece of information at the any given point of time and is kept static;
correlating the image with other sets of images and information related to the objects, based on the determining user intent and providing behavior implementation;
returning search results based on correlated other sets of images and information.

2. The method of claim 1 , wherein the receiving the search request is performed using one or more search engines.

3. The method of claim 2 , wherein the one or more search engines perform image searching based on a same set of source files.

4. The method of claim 1 , wherein the determining user intent is based on user image search sessions.

5. The method of claim 1 , wherein the determining user intent is based on predetermined behavior patterns.

6. The method of claim 1 , wherein the correlating includes creating a tree hierarchy of a root object that describes an object.

7. The method of claim 1 wherein the search results include workflow solutions related to the objects.

8. A system comprising:
a processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations for improved management of unattended user queries and comprising instructions executable by the processor and configured for:
performing an image search request;
searching for products related to the image which an image describes;
determining user intent regarding the search request, wherein the user intent is correlated to a user behavior pattern by a search pattern analyzer that processes image meta data and key phrases, and wherein the user behavior pattern is determined by different ways users look for information using different key phrases related to a piece of information at any given time the piece of information appears against a specific key phrase;
providing a behavior learning implementation by implementing an n×1 approach wherein n is different ways a user looks at information and 1 is piece of information at the any given point of time and is kept static;
based on the determining user intent and providing behavior implementation; correlating the image that the image request is based, with other images and information related to the products;
returning search results based on correlated images.

9. The system of claim 8 , wherein the performing implements one or more search engines.

10. The system of claim 8 , wherein the searching implements dynamic correlation between search strings and the products.

11. The system of claim 8 , wherein the user intent is based on user persona information.

12. The system of claim 8 , wherein meta-tagged images include responses for different user persona as to user intent.

13. The system of claim 8 , wherein the images include metadata.

14. The system of claim 8 , wherein the correlating includes correlating images with work flow solutions.

15. A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:
performing a search request based on an image;
searching for an object which the image describes;
determining user intent regarding the search request, wherein the user intent is correlated to a user behavior pattern by a search pattern analyzer that processes image meta data and key phrases, and wherein the user behavior pattern is determined by different ways users look for information using different key phrases related to a piece of information at any given time the piece of information appears against a specific key phrase;
providing a behavior learning implementation by implementing an n×1 approach wherein n is different ways a user looks at information and 1 is piece of information at the any given point of time and is kept static; based on the determining user intent and providing behavior implementation correlating the image with other images and information related to the object; returning search results based on correlated images.

16. The non-transitory, computer-readable storage medium of claim 15 , wherein the performing a search request is implemented with one or more search engines.

17. The non-transitory, computer-readable storage medium of claim 15 , wherein the user intent is based on user personal information.

18. The non-transitory, computer-readable storage medium of claim 15 , wherein the user intent is based on predetermined behavior patterns.

19. The non-transitory, computer-readable storage medium of claim 15 , wherein the correlating includes creating a tree hierarchy of a root object that describes an object.

20. The non-transitory, computer-readable storage medium of claim 15 , wherein correlating includes correlating images with work flow solutions.

Assignees

• Dell Products Lp

Inventors

• Roy Mainak
• Gupta Chitrak
• Babu Rathi
• Moncy Lavy T
• Mathew Thomas
• Boovaraha Upendran

Classifications

• G06F16/583 Primary

  using metadata automatically derived from the content · CPC title

• G06F17/15

  Correlation function computation {including computation of convolution operations (arithmetic circuits for sum of products per se, e.g. multiply-accumulators G06F7/5443; digital filters, e.g. FIR, IIR, adaptive filters H03H17/00)} · CPC title

• G06F16/538

  Presentation of query results · CPC title

• G06F16/532 Primary

  Query formulation, e.g. graphical querying · CPC title