Multimedia Content Analysis for Multimedia Professionals (Multimedia Systems and Applications, 30)

Complexity and variability in multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams, and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively convey certain visual content to viewers, while a TV video program consists of both audio and image streams that unfold the underlying story. To recognize the visual content of a digital image or to understand the underlying story of a video program, we may need to label sets of pixels or groups of image and audio frames jointly.

This book, "Machine Learning for Multimedia Content Analysis," introduces machine learning techniques that are particularly powerful and effective for modeling spatial and temporal structures of multimedia data, as well as for accomplishing common tasks of multimedia content analysis. The book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies, using a large number of figures to illustrate and visualize complex concepts. It also provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons.

The target audience for this book includes both academic researchers and industry professionals. Researchers will find this volume an invaluable tool for applying machine learning techniques to multimedia content analysis, while practitioners in the industry will also find it suitable for their needs.

The book's coverage of machine learning techniques for multimedia data analysis is particularly relevant in today's world, where the complexity and variability of multimedia data have become increasingly challenging. By introducing powerful and effective machine learning methods, this book aims to equip readers with the necessary knowledge and tools to tackle these challenges and unlock the full potential of multimedia data.

Through its systematic and intuitive approach, coupled with the use of illustrative figures and insightful algorithm analyses, the book provides a comprehensive and practical guide for researchers and practitioners alike. Whether you are exploring new frontiers in multimedia content analysis or seeking to enhance your existing industry applications, this volume is a valuable resource that will help you navigate the evolving landscape of machine learning and multimedia data.

product information: