Big data has attracted much attention from academia and industry. But the discussion of big
data is disparate, fragmented and distributed among different outlets. This paper conducts a …

With the advancement in modern video processing technologies, the requirement of an
efficient coding algorithm for compressing the video data in a huge surveillance system is …

Video surveillance system has become a critical part in the security and protection system of
modem cities, since smart monitoring cameras equipped with intelligent video analytics …

Recently, the video data has very huge volume, taking one city for example, thousands of
cameras are built of which each collects high-definition video over 24–48 GB every day with …

Global object redundancy (GOR), as opposed to local spatial/temporal redundancies in a
single video clip, is a new form of redundancy common in multisource surveillance video …

While deep neural network-based video denoising methods have achieved promising
results, it is still hard to deploy them on mobile devices due to their high computational cost …

Traditional video surveillance takes a huge amount of space storage. Recording everything
captured by a surveillance camera consumes the storage devices used by the system …

Real-time transmission of satellite video data is one of the fundamentals in the applications
of video satellite. Making use of the historical information to eliminate the long-term …

City surveillance enables many innovative applications of smart cities. However, the real-
time utilization of remotely sensed surveillance data via unmanned aerial vehicles (UAVs) or …

In video coding system, block matching algorithms are used to identify the matching blocks
in digital video sequence for motion estimation. Motion estimation is used to discover …