Intelligent Innovations in Multimedia Data Engineering and Management
Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Database Management, General Computing
| Author: | ISBN: | 9781522571094 | |
| Publisher: | IGI Global | Publication: | September 7, 2018 |
| Imprint: | Engineering Science Reference | Language: | English |
| Author: | |
| ISBN: | 9781522571094 |
| Publisher: | IGI Global |
| Publication: | September 7, 2018 |
| Imprint: | Engineering Science Reference |
| Language: | English |
With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.
With the ever-increasing volume of data, proper management of data is a challenging proposition to scientists and researchers, and given the vast storage space required, multimedia data is no exception in this regard. Scientists and researchers are investing great effort to discover new space-efficient methods for storage and archiving of this data. Intelligent Innovations in Multimedia Data Engineering and Management provides emerging research exploring the theoretical and practical aspects of storage systems and computing methods for large forms of data. Featuring coverage on a broad range of topics such as binary image, fuzzy logic, and metaheuristic algorithms, this book is ideally designed for computer engineers, IT professionals, technology developers, academicians, and researchers seeking current research on advancing strategies and computing techniques for various types of data.
