This handbook presents a thorough overview in 45 chapters from more than 100 renowned experts in the field. It provides the tools to help overcome the problems of video storage, cataloging, and retrieval, by exploring content standardization and other content classification and analysis methods. The challenge of these complex problems make this book a must-have for video database practitioners in the fields of image and video processing, computer vision, multimedia systems, data Mining, and many other diverse disciplines. Topics include video segmentation and summarization, archiving and retrieval, and modeling and representation.
標簽：
handbook
chapters
presents
overview
上傳時間：
2013-12-15
上傳用戶：yuzsu
The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data Mining algorithms and their application. The presentation emphasizes intuition rather than rigor. The second section, data Mining algorithms, shows how algorithms are constructed to solve specific problems in a principled manner. The algorithms covered include trees and rules for classification and regression, association rules, belief networks, classical statistical models, nonlinear models such as neural networks, and local memory-based models. The third section shows how all of the preceding analysis fits together when applied to real-world data Mining problems. Topics include the role of metadata, how to handle missing data, and data preprocessing.
標簽：
foundations
The
consists
sections
上傳時間：
2017-06-22
上傳用戶：lps11188
