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What is Image Retrieval

Chapter 18
Handbook of Research on Artificial Immune Systems and Natural Computing: Applying Complex Adaptive Technologies
The process of browsing, searching and retrieving images from a large database of digital images.
Published in Chapter:
Ant Colony Optimization for Use in Content Based Image Retrieval
Konstantinos Konstantinidis (Democritus University of Thrace, Greece), Georgios Ch. Sirakoulis (Democritus University of Thrace, Greece), and Ioannis Andreadis (Democritus University of Thrace, Greece)
Copyright: © 2009 |Pages: 21
DOI: 10.4018/978-1-60566-310-4.ch018
Abstract
The aim of this chapter is to provide the reader with a Content Based Image Retrieval (CBIR) system which incorporates AI through ant colony optimization and fuzzy logic. This method utilizes a two-stage fuzzy modified ant colony algorithm employing in parallel low-level features such as color, texture and spatial information which are extracted from the images themselves. The results prove the system to be more efficient compared to popular and contemporary methods such as the histogram intersection, joint histograms and the scalable color histogram of the MPEG-7 standard. However, due to the high computational burden of the AI methods the system is quite slow when implemented in software. Thus in order to speed up the whole process the reader is also provided with the hardware implementation analysis of the whole system. The increase in speed is phenomenal.
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More Results
Chapter 1
Image Data Mining Based on Wavelet Transform for Visualization of the Unique Characteristics of Image Data
Is a process of searching for digital images in large image scale image data, which is computer based for browsing, searching and retrieving images from digital images.
Published in Chapter: Image Data Mining Based on Wavelet Transform for Visualization of the Unique Characteristics of Image Data; From: Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
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Chapter 14
Radial Moments for Image Retrieval
The task of retrieving relevant images from the database.
Published in Chapter: Radial Moments for Image Retrieval; From: Handbook of Research on Advanced Concepts in Real-Time Image and Video Processing
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Chapter 593
Semantic Image Retrieval
An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most traditional and common methods of image retrieval utilize some method of adding metadata such as captioning, keywords, or descriptions to the images so that retrieval can be performed over the annotation words. Manual image annotation is time-consuming, laborious and expensive; to address this, there has been a large amount of research done on automatic image annotation (Wikipedia, n.d.c).
Published in Chapter: Semantic Image Retrieval; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 7
Text-Based Image Retrieval Using Deep Learning
An image retrieval system is a computer system for browsing, searching and retrieving images from a large database of digital images. Most common utilized methods are adding metadata to captioning, keywords etc.
Published in Chapter: Text-Based Image Retrieval Using Deep Learning; From: Encyclopedia of Information Science and Technology, Fifth Edition
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