Typical applications of visual big data

Typical application areas of visual big data are as follows:

Intelligence investigation field

In the public media video data sometimes contain local feature fragments of an important target, intelligence agencies by analyzing massive video data, the video data containing similar targets are extracted and summarized, it is possible to mine valuable target information.

Public Security Field

By analyzing the camera data spread over streets, alleys, stations, docks, shopping malls, hotels and other places, with the help of video analytics technology, the security department can discover abnormal situations in a timely manner and respond at the first time, searching for suspicious targets and their whereabouts at the scene of the incident; with the help of face searching technology, the suspects pursued on the Internet can be discovered in a timely manner through the docking of suspect information database of the public security system, and so on. Typical applications in this field are large-scale face search systems and violence detection systems.

Intelligent Transportation

By analyzing the surveillance data from all the road cameras within its jurisdiction and analyzing the road traffic flow in real time, the traffic authority can comprehensively analyze and statistic the traffic condition of the whole city; by establishing a unified vehicle information database, and with the help of license plate recognition, car model recognition, and car label recognition technology, the traffic authority can quickly discover the set-plate and fake-plate cars, and quickly search and locate the trajectory and position of specific vehicles.

Leisure and Entertainment Field

Network video-on-demand has become an important way of broadcasting and television communication. By establishing a distributed cloud storage architecture, users can on-demand and watch their favorite video programs at any time and any place, as long as they pass through the networked terminals, in order to better arrange their work and leisure time.

Personalized Advertising Field

Network advertising has become an important branch of the advertising industry. By collecting and analyzing the massive interactive videos between users and advertisements, practitioners can analyze what contents of advertisements are more appealing to customers, what length of advertisements will not cause users’ disgust, what time periods are suitable for which advertisements to be placed, and what types of advertisements are more preferred by users of what websites, and so on.

Your task

What do you know about visual big data? This can be illustrated with an example.

Share your thoughts and ideas in the comments below.