Understanding-Oriented Multimedia Content Analysis
- by Zechao Li
350৳
📚 Book Features & Quality
🔹 Premium Paper: Off-white Karnaphuli paper, 80 GSM
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📚 Understanding-Oriented Multimedia Content Analysis
1st Edition, 177 Pages
(Springer Theses)
Overview:
This book offers a systematic introduction to an understanding-oriented approach to multimedia content analysis. It focuses on integrating visual understanding and learning models into a unified framework. In this framework, visual understanding guides the model learning, while the learned models in turn improve the visual understanding.
Key Topics Covered:
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Multimedia Content Representation & Analysis
- Feature selection and feature extraction techniques.
- Image tagging and user-oriented tag recommendation.
- Understanding-oriented multimedia applications.
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Unified Framework
- How the integration of visual understanding and model learning enhances multimedia analysis.
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Technologies & Methods
- Introduction to the fundamental technologies and cutting-edge methods in multimedia content analysis.
Recognition:
This book was nominated by the University of Chinese Academy of Sciences and the China Computer Federation as an outstanding PhD thesis.
Ideal for:
Graduate students and researchers in computer vision, machine learning, and multimedia content analysis. The book offers in-depth theoretical insights and practical methodologies that will be valuable for advancing research in the field.
📘 A must-read for anyone interested in the intersection of visual understanding and machine learning in multimedia applications.
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