May 2024
Beginner to intermediate
336 pages
8h 29m
English
book
Supervised and Unsupervised Data Engineering for Multimedia Data
by Suman Kumar Swarnkar, J. P. Patra, Sapna Singh Kshatri, Yogesh Kumar Rathore, Tien Anh Tran
Content preview from Supervised and Unsupervised Data Engineering for Multimedia Data
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Preface
Artificial intelligence (AI) is a rapidly growing field of engineering that has the potential to revolutionize the way we interact with machines, process data, and even see our world. Multimedia Data Engineering (MDE) is an important branch of AI which focuses on how machine learning algorithms can be used to analyze and interpret large amounts of multimedia data. With this article, we will explore how AI technologies are utilized in MDE and the benefits they bring to professionals working in this domain.
At its core, MDE combines AI techniques with traditional computer science principles to make sense of vast amounts of multimedia data. By leveraging advances such as facial recognition technology, natural language processing tools, text-to-speech applications and more, engineers are able to transform unstructured data into valuable insights for businesses.
The research papers of this issue are broadly classified into current computing techniques, Artificial intelligence and Multimedia Data Engineering and implementation.
The editor thanks all the reviewers for their excellent contributions to this issue. I sincerely hope that you will enjoy reading these papers, and we expect them to play an important role in promoting advanced computing techniques and implementation research. I hope that this issue will prove a great success with the exchange of ideas, which will forester future research collaborations.
Department of Computer Science and ...
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