Video Cataloguing Structure Parsing and Content Extraction

Introduction
Introduction to Movie and Teleplay Cataloguing
Related Research State and Progress
Main Research Work

Visual Features Extraction
Introduction
Scale-Invariant Feature Transform
Gabor Feature
Histogram of Oriented Gradients (HOG)
Maximally Stable Extremal Regions
Local Binary Pattern (LBP)
Feature Learning
Summary

Accelerating Shot Boundary Detection
Introduction
Related Work
Frame Difference Calculation
Temporal Redundant Frame Reduction
Corner Distribution-Based MCFB Removal
Experimental Results
Summary

Key Frame Extraction
Introduction
Size of the Key Frame Set
Categories of Key Frame Extraction Methods
Key Frame Extraction Using a Panoramic Frame
Summary

Multimodality Movie Scene Detection
Introduction
Related Work
KCCA and Feature Fusion-Based Method
Experiment and Results
Summary

Video Text Detection and Recognition
Introduction
Implementation of Video Text Recognition
Summary

‘‘Where" Entity: Video Scene Recognition
Introduction
Related Work
Overview
Video Segmentation
Representative Feature Patch Extraction
Scene Classification Using Latent Dirichlet Analysis
Enhanced Recognition Based on VSC Correlation
Experimental Results
Summary

‘‘Who" Entity: Character Identification
Introduction
Related Work
Overview of Adaptive Learning
Adaptive Learning with Related Samples
Experiments
Summary

Audiovisual Information-Based Highlight Extraction
Introduction
Framework Overview
Unrelated Scene Removal
Experimental Results
Summary

Demo System of Automatic Movie or Teleplay Cataloguing
Introduction
General Design of the Demo

References

Index

Biography

Guangyu Gao is an assistant professor at the School of Software, Beijing Institute of Technology, China. He earned his PhD degree in computer science and technology from the Beijing University of Posts and Telecommunications, China, in 2013, and his MS degree in computer science and technology from Zhengzhou University, Henan Province, China, in 2007. He was also a government-sponsored joint PhD student at the National University of Singapore, from July 2012 to April 2013. His current research interests include applications of multimedia, computer vision, video analysis, machine learning, and Big Data.

As an author, he received the Electronic Information and Science Technology Prize, awarded by the Chinese Institute of Electronics. He has published dozens of prestigious conference and journal papers and is a member of both the Association for Computing Machinery and the China Computer Federation.

Chi Harold Liu is a full professor at the School of Software, Beijing Institute of Technology, China. He is also the director of the IBM Mainframe Excellence Center (Beijing), the IBM Big Data Technology Center, and the National Laboratory of Data Intelligence for China Light Industry. He holds a PhD degree from Imperial College, London, UK, and a BEng degree from Tsinghua University, Beijing, China. Before moving to academia, he joined IBM Research–China as a staff researcher and project manager, after working as a postdoctoral researcher at Deutsche Telekom Laboratories, Berlin, Germany, and a visiting scholar at IBM T. J. Watson Research Center, Hawthorne, New York.

His current research interests include the Internet-of-Things (IoT), Big Data analytics, mobile computing, and wireless ad hoc, sensor, and mesh networks. He received the Distinguished Young Scholar Award in 2013, IBM First Plateau Invention Achievement Award in 2012, and IBM First Patent Application Award in 2011 and was interviewed by EEWeb.com as the featured engineer in 2011. He has published more than 60 prestigious conference and journal papers and owned more than 10 EU/U.S./China patents.