Intelligent Analysis of Multimedia Information

Intelligent Analysis of Multimedia Information

Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Sourav De, Goran Klepac

Copyright: © 2017 |Pages: 520

ISBN13: 9781522504986|ISBN10: 1522504982|EISBN13: 9781522504993

DOI: 10.4018/978-1-5225-0498-6

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MLA

Bhattacharyya, Siddhartha, et al., editors. Intelligent Analysis of Multimedia Information. IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0498-6

APA

Bhattacharyya, S., Bhaumik, H., De, S., & Klepac, G. (Eds.). (2017). Intelligent Analysis of Multimedia Information. IGI Global. https://doi.org/10.4018/978-1-5225-0498-6

Chicago

Bhattacharyya, Siddhartha, et al., eds. Intelligent Analysis of Multimedia Information. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0498-6

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Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data.

Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media processing and manipulation. This book offers a fresh perspective for students and researchers of information technology, media professionals, and programmers.

Table of Contents

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Front Materials

Title Page

Copyright Page

Advances in Multimedia and Interactive Technologies (AMIT) Book Series

Dedication

Editorial Advisory Board and List of Contributors

Preface

Chapters

Chapter 1

Foundations of Multimedia Information Processing (pages 1-31)

Anindita Das Bhattacharjee

It is easy to understand image and video stream by a human being but a computer can't understand them at all. For that reason there are several methods to make the computer to understand about the media it is being talked about....

Chapter 2

Theoretical Concepts and Technical Aspects on Image Segmentation (pages 32-47)

Anju Pankaj, Sonal Ayyappan

Image segmentation is the process of partitioning a digital image into multiple segments (super pixels). Segmentation is typically used to locate objects and boundaries in images. The result of segmentation is a set of segments that...

Chapter 3

Feature Extraction (pages 48-105)

Anindita Das Bhattacharjee

Accessibility problem is relevant for audiovisual information, where enormous data has to be explored and processed. Most of the solutions for this specific type of problems point towards a regular need of extracting applicable...

Chapter 4

Multilevel Image Segmentation Using Modified Particle Swarm Optimization (pages 106-142)

Sourav De, Firoj Haque

Particle Swarm Optimization (PSO) is a well-known swarm optimization technique. PSO is very efficient to optimize the image segmentation problem. PSO algorithm have some drawbacks as the possible solutions may follow the global best...

Chapter 5

Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques (pages 143-180)

Anupam Mukherjee

This chapter will focus on the concept of Content-based image retrieval. Searching of an image or video database based on text based description is a manual labor intensive process. Descriptions of the file are usually typed manually...

Chapter 6

Biomedical Image Processing and Analysis (pages 181-211)

Swanirbhar Majumder, Smita Majumder

Since 1960's digital image processing has been a popular field of research and applications. Among the various applications like physics, security, photonics, biomedical, astronomy, remote sensing, ecological, environmental...

Chapter 7

Cellular Automata Algorithms for Digital Image Processing (pages 212-231)

Petre Anghelescu

In this paper are presented solutions to develop algorithms for digital image processing focusing particularly on edge detection. Edge detection is one of the most important phases used in computer vision and image processing...

Chapter 8

Indian River Watershed Image Analysis Using Fuzzy-CA Hybrid Approach (pages 232-246)

Kalyan Mahata, Subhasish Das, Rajib Das, Anasua Sarkar

Image segmentation among overlapping land cover areas in satellite images is a very crucial task. Detection of belongingness is the important problem for classifying mixed pixels. This paper proposes an approach for pixel...

Chapter 9

A Fuzzy Relational Classifier Based Image Quality Assessment Method (pages 247-265)

Indrajit De

Fuzzy classification techniques are used for image classification for quite a long time back by allowing pixels to have membership in more than one class. However, handling information at the pixel level is time consuming and there...

Chapter 10

Data Compression as a Base for eHealth Interoperability: 3D FWT Applied on Volumetric Neuroimages (pages 266-281)

Martin Žagar, Branko Mihaljević, Josip Knezović

eHealth is a set of systems and services that enable the sharing of medical diagnostic imaging data remotely. The application of eHealth solves the problem of the lack of specialized personnel, unnecessary execution of multiple...

Chapter 11

Detection of Gradual Transition in Videos: Approaches and Applications (pages 282-318)

Hrishikesh Bhaumik, Manideepa Chakraborty, Siddhartha Bhattacharyya, Susanta Chakraborty

During video editing, the shots composing the video are coalesced together by different types of transition effects. These editing effects are classified into abrupt and gradual changes, based on the inherent nature of these...

Chapter 12

Time-Slot Based Intelligent Music Recommender in Indian Music (pages 319-351)

Sudipta Chakrabarty, Samarjit Roy, Debashis De

Music listening is one of the most common thing of human behaviors. Normally mobile music is downloaded to mobile phones and played by mobile phones. Today millennial people use mobile music in about all the age groups. Music...

Chapter 13

Content Coverage and Redundancy Removal in Video Summarization (pages 352-374)

Hrishikesh Bhaumik, Siddhartha Bhattacharyya, Susanta Chakraborty

Over the past decade, research in the field of Content-Based Video Retrieval Systems (CBVRS) has attracted much attention as it encompasses processing of all the other media types i.e. text, image and audio. Video summarization is...

Chapter 14

Compressive Sensing for Biometric System (pages 375-400)

Rohit M. Thanki, Komal R. Borisagar

Biometric system is used by many institution, organization and industry for automatic recognition of person. One of the main reason for popularity of used for biometric system is that the ability of the system to identify between an...

Chapter 15

Integration of Different Analytical Concepts on Multimedia Contents in Service of Intelligent Knowledge Extraction (pages 401-430)

Goran Klepac

This chapter will introduce methodology how to use analytical potential of multimedia contents like YouTube, Bing Videos or Vimeo for discovering behavioral consumer characteristics. Chapter will also show how to consolidate...

Chapter 16

Digital Watermarking: Technical Art of Hiding a Message (pages 431-466)

Rohit M. Thanki, Ashish M. Kothari

Nowadays, Multimedia contents such as images, videos, e-books and texts are easy to available for download through internet in worldwide. Duplication of multimedia contents is to create using different software. This type of...

Back Materials

Compilation of References

About the Contributors

Index

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