Machine Learning for Multimedia Content Analysis

Name: Machine Learning for Multimedia Content Analysis
Brand: Springer-Verlag New York Inc.
SKU: 9780387699387
Price: 35572 HUF
Availability: InStock

Szerző: Yihong Gong, Wei Xu

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer-Verlag New York Inc.

Elérhetőség: Beszállítói készleten

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Challenges in complexity and variability of multimedia data have led to revolutions in machine learn...

Információk a könyvről

Szerző

Yihong Gong, Wei Xu

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2007

oldal

277

EAN

9780387699387

ISBN

0387699384

Enbook ID

01382369

Kiadó

Springer-Verlag New York Inc.

Súly

612

Méretek

155 x 235 x 21

Teljes leírás

Challenges in complexity and variability of 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 conveys certain visual content to viewers. 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. Machine Learning for Multimedia Content Analysis introduces machine learning techniques that are particularly powerful and effective for modeling spatial, temporal structures of multimedia data and for accomplishing common tasks of multimedia content analysis. This book systematically covers these techniques in an intuitive fashion and demonstrates their applications through case studies. This volume uses a large number of figures to illustrate and visualize complex concepts, and provides insights into the characteristics of many algorithms through examinations of their loss functions and straightforward comparisons. Machine Learning for Multimedia Content Analysis is designed for an academic and professional audience. Researchers will find this book an invaluable tool for applying machine learning techniques to multimedia content analysis. This volume is also suitable for practitioners in industry.

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