Contents


Preface

Due to increasing globalization and the explosion of media available on the Internet, computer techniques to organize, classify, and find desired media are becoming more and more relevant. To extract semantic information from multimedia data sources, the Multimedia Information Retrieval (MMIR or MIR) technique has been applied. This evolution continues to grow, as multimedia sensors are present in

MIR is a broad area covering both structural issues and intelligent content analysis and retrieval. These aspects must be integrated into a seamless whole, which involves expertise from a wide variety of fields. This book presents recent applications of MIR in content-based image retrieval and fusion, bioinformation analysis and processing,

The book is organized into four sections. The first two sections include two chapters each, and the last two sections contain one chapter each. Section 1, "Content-Based Image Retrieval and Fusion," discusses the application of computer techniques to search for videos and images in large databases, as well as mechanisms to apply multiple-image fusion. Section 2, "Bioinformation Analysis and Processing," examines information extraction and processing in biomedical applications. Section 3, "Forensic Multimedia Retrieval Techniques," provides the design and test of a framework addressing the challenges of evidence collection in critical infrastructures are provided. Finally, Section 4, "Audio and Music Classification and Separation," provides a full review of classification and separation algorithms

Chapter 1, "Towards Large-Scale Image Retrieval System Using Parallel Frameworks", highlights that the increasing use of mobile devices such as smartphones has resulted in a dramatic increase in the number of images collected every day. Consequently, this chapter introduces some fundamental theories for content-based image retrieval for large-scale databases using parallel frameworks. The main issues and basic concepts of Big Data and its technologies are discussed, moving towards modern

Chapter 2 "Multiple-Image Fusion Encryption (MIFE) Using Discrete Cosine Transformation (DCT) and Pseudo Random Number Generators", proposes a new multiple-image encryption algorithm based on the spectral fusion of watermarked images and new chaotic generators. First, the discrete cosine transformation and the low-pass filter of appropriate sizes are used to combine the target watermarked images in the spectral domain in two different multiplex images. Second, each of the two images is concatenated into blocks of small size, which are mixed by changing their position following the order generated by a chaotic sequence from the Logistic-May system. Finally, the fusion of both scrambled images is achieved by a nonlinear mathematical expression based on Cramer's rule to obtain two hybrid encrypted images. Then, after the decryption step, the hidden message can

forensic multimedia retrieval techniques, and audio and music classification.

diverse contexts.

for audio and music signals.

Section 1: "Content-Based Image Retrieval and Fusion"

be retrieved from the watermarked image without any loss.

tools including cutting-edge storage platforms.
