This book provides an overview of emerging new approaches to video search and mining based on promising methods being developed in the computer vision and image analysis community. Video search and mining is a rapidly evolving discipline whose aim is to capture interesting patterns in video data. It has become one of the core areas in the data mining research community. In comparison to other types of data mining (e.g. text), video mining is still in its infancy.The objective of this book is to present the latest advances in video search and mining covering both theoretical approaches and practical applications. The book provides researchers and practitioners a comprehensive understanding of the start-of-the-art in video search and mining techniques and a resource for potential applications and successful practice. This book can also serve as an important reference tool and handbook for researchers and practitioners in video search and mining.
Author(s): Mattia Broilo, Nicola Piotto, Giulia Boato, Nicola Conci, Francesco G. B. De Natale (auth.), Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang (eds.)
Series: Studies in Computational Intelligence 287
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 388
Tags: Appl.Mathematics/Computational Methods of Engineering; Artificial Intelligence (incl. Robotics); Data Mining and Knowledge Discovery; Computer Imaging, Vision, Pattern Recognition and Graphics
Front Matter....Pages -
Front Matter....Pages 1-1
Object Trajectory Analysis in Video Indexing and Retrieval Applications....Pages 3-32
Trajectory Clustering for Scene Context Learning and Outlier Detection....Pages 33-51
Motion Trajectory-Based Video Retrieval, Classification, and Summarization....Pages 53-82
Front Matter....Pages 83-83
Three Dimensional Information Extraction and Applications to Video Analysis....Pages 85-114
Statistical Analysis on Manifolds and Its Applications to Video Analysis....Pages 115-144
Front Matter....Pages 145-145
Semantic Video Content Analysis....Pages 147-176
Video Genre Inference Based on Camera Capturing Models....Pages 177-201
Visual Concept Learning from Weakly Labeled Web Videos....Pages 203-232
Front Matter....Pages 233-233
Face Recognition and Retrieval in Video....Pages 235-260
A Human-Centered Computing Framework to Enable Personalized News Video Recommendation....Pages 261-281
Front Matter....Pages 283-283
A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Video Collections....Pages 285-303
Video Repeat Recognition and Mining by Visual Features....Pages 305-326
Mining TV Broadcasts 24/7 for Recurring Video Sequences....Pages 327-356
YouTube Scale, Large Vocabulary Video Annotation....Pages 357-386
Back Matter....Pages -
