Free PDF Frontiers of Media Understanding, by Horst Eidenberger
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Frontiers of Media Understanding, by Horst Eidenberger
Free PDF Frontiers of Media Understanding, by Horst Eidenberger
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Media understanding is the science/art of identifying semantic structures in digital media objects such as audio, biosignals, images, text and videos. Computational media understanding should do what our senses and cognition do: immediate understanding of events as diverse as watching a bird and listening to a speech. This book introduces the reader with the state-of-the-art methods applied today for media summarization and for the categorization of events. In contrast to related publications, it does not focus on one type of media but considers all the above-named as well as a few others. The author endeavors to identify similarities between the methods employed in audio retrieval, image understanding, text summarization and many other research domains. It turns out that a number of significant parallels do exist. Structuring the methods along common criteria and discussing their similarities and differences breaks the ground for a new research discipline: true computational understanding of multimedia content.
- Sales Rank: #11069789 in Books
- Published on: 2012-08-17
- Original language: English
- Number of items: 1
- Dimensions: 8.27" h x .52" w x 5.83" l, .66 pounds
- Binding: Paperback
- 246 pages
Most helpful customer reviews
0 of 0 people found the following review helpful.
Good mixture of science and application
By K. Kaiser
This is a book for a reader who is comfortable with the basics of signal processing and artificial intelligence. That reader will be rewarded with wide-ranging and very practical discussions of many problems and the techniques used for each. The volume builds on two earlier ones: Fundamental Media Understanding and Professional Media Understanding (from the same author). Together, they provide a broad yet deep introduction into multimedia content analysis. However, this book is also interesting in its own right. The role of human similarity perception for proper machine classification is handled here as in no other book that I know. I strongly agree with many of the statements and descriptions that the author makes.
0 of 0 people found the following review helpful.
clear, short, informative
By Jacob von Brauchitsch
This has my highest recommendation. It is a welcome literary resource for the information retrieval community that fills a gap in the computer science curriculum that has widened significantly in recent years. The book is well written: The leading example is used throughout the entire book and the author clarifies without obfuscating. Furthermore, don't let the size of this book fool you. It is packed with useful information and I highly recommend it to anyone interested in learning more about media processing and content understanding. I have started recommending it for all the graduate students in my lab.
0 of 0 people found the following review helpful.
Recommended
By Klaus
This is the best work on the matter that I've ever read. Despite its scientific orientation, it really is a book about the practicalities of computation. I especially enjoyed the chapters on human perception and psychophysics: They bridge the gap from psychological theory to the engineering application. Highly recommended!
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