Game Development Reference
In-Depth Information
Chapter 10
Intelligent Video System
This chapter gives an introduction of intelligent video, including the intelligent video
analysis and intelligent video coding. This chapter consists of four parts. The first
part provides a brief introduction to intelligent video, including the concepts and
applications. The second part gives an brief overview of intelligent video analysis.
The third part introduces intelligent video coding, and the last part summarizes this
chapter.
10.1 Introduction
With the development of image and video capture techniques, we are facing to
explosive increase of visual data. In the 1960s, closed-circuit televisions (CCTVs)
and video recorders (VCRs) were first installed to monitor buildings, railways, and
other public infrastructures. Years later, video surveillance systems appeared in the
banks and stores. By the 1990s, home security systems had allowed users to remotely
control a camera through a web interface. Today, we notice surveillance cameras in
the elevator, on the ATM machine, along the sides of streets, in office buildings,
and almost anywhere you can reach. Recently, as the hosting cities of the 2008 and
2012 Olympic games, Beijing and London showcased the utility of large-scale video
applications by deploying about 1 million surveillance cameras in public areas. A
recent report from International Data Corporation (IDC) shows that half of the global
Big Data in 2012 are made up by surveillance video, and the percentage will increase
to 65% by 2015.
Conventional video surveillance systems can record what they see, but they cannot
make sense of what they are viewing, which is typically the responsibility of staff
members, who are watching the monitors. However, in most of surveillance videos,
events of interest are occurring rarely, which makes such staff members become
gradually less effective as the volume of video data grows and overloads the ability
of the human eye/brain to process visual details. It is the sheer fatigue with long shift
hours degrading the monitoring abilities of staff that exacerbating the problem still
