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  • Patseek: Content Based Image Retrieval System For Patent ... - Iitk Ac

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PATSEEK: Content Based Image Retrieval System for Patent Database Avinash Tiwari1, Veena Bansal2 1,2 Industrial and Management Engineering Department IIT Kanpur 208016 India 2 veena iitk.ac.in ABSTRACT.

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PATSEEK: Content Based Image Retrieval System for Patent Database. Avinash Tiwari1...
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540A C1 2007 SPD19-6-17 2018 VTR-346 2009 SB18074

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One of the main advantages of the CBIR approach is the possibility of an automatic retrieval process, instead of the additional keyword-based approach, which usually requires very laborious and time-consuming previous annotation of database images.

Content-Based Image Retrieval (CBIR) is a way of retrieving images from a database. In CBIR, a user specifies a query image and gets the images in the database similar to the query image. To find the most similar images, CBIR compares the content of the input image to the database images.

Content Based Image Retrieval In content based image retrieval, images are searched and retrieved on the basis of similarity of their visual contents to a query image using features of the image. A feature extraction module is used to extract low-level image features from the images in the collection.

Image retrieval techniques can be categorized as Text-Based Image Retrieval (TBIR) and Content-Based Image Retrieval (CBIR). TBIR is used to define both metadata of the image and image content such as image file name, size and format.

The objective of CBIR is to excerpt visual content of an image inevitably, like color, shape or texture. The CBIR tools can be utilized in numerous applications such as digital libraries, photo sharing sites and crime prevention.

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a scientific ...

The most common method for comparing two images in content-based image retrieval (typically an example image and an image from the database) is using an image distance measure. An image distance measure compares the similarity of two images in various dimensions such as color, texture, shape, and others.

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Form Packages
Adoption
Bankruptcy
Contractors
Divorce
Home Sales
Employment
Identity Theft
Incorporation
Landlord Tenant
Living Trust
Name Change
Personal Planning
Small Business
Wills & Estates
Packages A-Z
Form Categories
Affidavits
Bankruptcy
Bill of Sale
Corporate - LLC
Divorce
Employment
Identity Theft
Internet Technology
Landlord Tenant
Living Wills
Name Change
Power of Attorney
Real Estate
Small Estates
Wills
All Forms
Forms A-Z
Form Library
Customer Service
Terms of Service
DMCA Policy
About Us
Blog
Affiliates
Contact Us
Privacy Notice
Delete My Account
Site Map
All Forms
Search all Forms
Industries
Forms in Spanish
Localized Forms
Legal Guides
Real Estate Handbook
All Guides
Prepared for You
Notarize
Incorporation services
Our Customers
For Consumers
For Small Business
For Attorneys
Our Sites
US Legal Forms
USLegal
FormsPass
pdfFiller
signNow
airSlate workflows
DocHub
Instapage
Social Media
Call us now toll free:
1-877-389-0141
As seen in:
  • USA Today logo picture
  • CBC News logo picture
  • LA Times logo picture
  • The Washington Post logo picture
  • AP logo picture
  • Forbes logo picture
© Copyright 1997-2025
airSlate Legal Forms, Inc.
3720 Flowood Dr, Flowood, Mississippi 39232