Intelligent Multimedia Data Analysis

This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information.

Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc.

This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering.

THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE

The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

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Intelligent Multimedia Data Analysis

This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information.

Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc.

This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering.

THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE

The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.

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Overview

This volume comprises eight well-versed contributed chapters devoted to report the latest findings on the intelligent approaches to multimedia data analysis. Multimedia data is a combination of different discrete and continuous content forms like text, audio, images, videos, animations and interactional data. At least a single continuous media in the transmitted information generates multimedia information.

Due to these different types of varieties, multimedia data present varied degrees of uncertainties and imprecision, which cannot be easy to deal by the conventional computing paradigm. Soft computing technologies are quite efficient to handle the imprecision and uncertainty of the multimedia data and they are flexible enough to process the real-world information. Proper analysis of multimedia data finds wide applications in medical diagnosis, video surveillance, text annotation etc.

This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering.

THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE

The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent state of the art.


Product Details

ISBN-13: 9783110550337
Publisher: De Gruyter
Publication date: 02/19/2019
Series: De Gruyter Frontiers in Computational Intelligence , #2
Sold by: Barnes & Noble
Format: eBook
Pages: 196
File size: 18 MB
Note: This product may take a few minutes to download.
Age Range: 18 Years

About the Author

Siddharta Bhattacharyya, Kolkatta, India

Table of Contents

Preface V

Dedication Dibya Jyoti Bora ix

1 Medical color image enhancement: Problems,, challenges & recent techniques Dibya Jyoti Bora 1

2 Exploring the scope of intelligent algorithms for various community detection techniques Sudeep Basu Indrajit Pan Siddhartha Bhattacharyya 19

3 An unsupervised graph-based approach for the representation of coronary arteries in X-ray angiograms Sebastian Salazar-Colores Fernando Cervantes-Sanchez Arturo Hernandez-Aguirre Ivan Cruz-Aceves 43

4 A study of recent trends in content based image classification Rik Das Sourav De S. N. Singh 65

5 Intelligent monitoring and evaluation of digital geometry figures drawn by students Arindam Mondal Anirban Mukherjee Utpal Garain 95

6 Rough set and soft set models in image processing B. K. Tripathy T. R. Sooraj R. K. Mohanty 123

7 Quantum inspired simulated annealing technique for automatic clustering Alokananda Dey Sandip Dey Siddhartha Bhattacharyya Vaclav Snasel Aboul Ella Hassanien 145

8 Intelligent greedy model for influence maximization in multimedia data networks Mithun Roy Indrajit Pan Siddhartha Bhattacharyya 167

Index 183

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