A Stochastic and Content-Based Image Retrieval Mechanism

A Stochastic and Content-Based Image Retrieval Mechanism

Mei-Ling Shyu (University of Miami, USA), Shu-Ching Chen (Florida International University, USA) and Chengcui Zhang (Florida International University, USA)
Copyright: © 2004 |Pages: 20
DOI: 10.4018/978-1-59140-156-8.ch013
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Abstract

Multimedia information, typically image information, is growing rapidly across the Internet and elsewhere. To keep pace with the increasing volumes of image information, new techniques need to be investigated to retrieve images intelligently and efficiently. Content-based image retrieval (CBIR) is always a challenging task. In this chapter, a stochastic mechanism, called Markov Model Mediator (MMM), is used to facilitate the searching and retrieval process for content-based image retrieval, which serves as the retrieval engine of the CBIR systems and uses stochastic-based similarity measures. Different from the common methods, our stochastic mechanism carries out the searching and similarity computing process dynamically, taking into consideration not only the image content features but also other characteristics of images such as their access frequencies and access patterns. Our experimental results demonstrate that the MMM mechanism together with the stochastic process can assist in retrieving more accurate results for user queries.

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Table of Contents
Acknowledgments
Sagarmay Deb
Chapter 1
Sagarmay Deb
In this chapter, we present a basic introduction of the two very important areas of research in the domain of information technology, namely... Sample PDF
Multimedia Systems and Content-Based Retrieval
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Chapter 2
Yung-Kuan Chan, Tung-Shou Chen, Yu-An Ho
With the rapid progress of digital image technology, the management of duplicate document images is also emphasized widely. As a result, this paper... Sample PDF
A Duplicate Chinese Document Image Retrieval System Based on Line Segment Feature in Character Image Block
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Chapter 3
M. Monsignori, P. Nesi, M. Spinu
Content protection for multimedia data is widely recognized especially for data types that are frequently distributed, sold or shared in digital and... Sample PDF
Technology of Music Score Watermarking
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Chapter 4
Sanjay K. Singh, Mayank Vatsa, Richa Singh, K.K. Shukla, Lokesh R. Boregowda
Face recognition technology is one of the most widely used problems in computer vision. It is widely used in applications related to security and... Sample PDF
Face Recognition Technology: A Biometric Solution to Security Problems
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Chapter 5
Shamik Sural
In this chapter, we make an in-depth analysis of the visual properties of the HSV (Hue, Saturation, Intensity Value) color space and describe a... Sample PDF
Histogram Generation from the HSV Color Space Using Saturation Projection
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Chapter 6
Waleed E. Farag, Hussein Abdel-Wahab
The increasing use of multimedia streams nowadays necessitates the development of efficient and effective methodologies and systems for manipulating... Sample PDF
Video Content-Based Retrieval Techniques
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Chapter 7
Y.J. Zhang, Y.Y. Gao, Y. Luo
To overcome the drawback of using only low-level features for the description of image content and to fill the gap between the perceptual property... Sample PDF
Object-Based Techniques for Image Retrieval
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Chapter 8
Ying Luo, Jeng-Neng Hwang, Tzong-Der Wu
In this chapter, we present a novel scheme for object-based video analysis and interpretation based on automatic video object extraction, video... Sample PDF
Object-Based Video Analysis and Interpretation
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Chapter 9
Philippe Mulhem, Joo Hwee Lim, Wee Kheng Leow, Mohan S. Kankanhalli
In this chapter, we study the needs of digital home photo albums and the different components that are required to provide effective and efficient... Sample PDF
Advances in Digital Home Photo Albums
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Chapter 10
Sagarmay Deb, Yanchun Zhang
We discuss here emergence phenomenon where we study the hidden meanings of an image. We present this concept in image database access and retrieval... Sample PDF
Algorithm for the Retrieval of Image with Emergence Index in Multimedia
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Chapter 11
Ching-Sheng Wang, Timothy K. Shih
Content-based image retrieval has become more desirable for developing large image databases. This chapter presents an efficient method of... Sample PDF
An Efficient Content-Based Retrieval System for Large Image Database
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Chapter 12
Ying-Hong Wang
The increasing availability of image and multimedia-oriented applications markedly impacts image/multimedia file and database systems. Image data... Sample PDF
A Spatial Relationship Method Supports Image Indexing and Similarity Retrieval
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Chapter 13
Mei-Ling Shyu, Shu-Ching Chen, Chengcui Zhang
Multimedia information, typically image information, is growing rapidly across the Internet and elsewhere. To keep pace with the increasing volumes... Sample PDF
A Stochastic and Content-Based Image Retrieval Mechanism
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Chapter 14
Colin C. Venters, Richard J. Hartley, William T. Hewitt
The user interface is the principal component responsible for facilitating human-computer interaction in an information retrieval system and... Sample PDF
Mind the Gap: Content-Based Image Retrieval and the User Interface
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Chapter 15
Ali Arya, Babak Hamidzadeh
This chapter will discuss the multimedia modeling and specification methods, especially in the context of face animation. Personalized Face... Sample PDF
Face Animation: A Case Study for Multimedia Modeling and Specification Languages
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