DISTRIBUTED VIDEO ENCODING FOR WIRELESS LOWPOWER SURVEILLANCE NETWORK

Abstract

Transmission of real time video over a network is a very bandwidth intensive process placing large
demand both on the network resource and the end terminal computing points. To improve throughput rates and
reduce bandwidth requirement video encoding is resorted to. This project addresses the video encoding process
for wireless low-power surveillance networks.
Real time video encoding is a CPU intensive task. A number of algorithms exist to share the encoding process
over multiple computer platforms. This is called as parallel processing. In this project I have attempted to split
a video into multiple chunks and encode them separately in different computers and then merge them into a
compressed video retaining all the major details but with reduced bandwidth occupancy. This project
demonstrates setting up a distributed video encoder in a LAN network .To date this concept is prevalent only in
high end grid computing platforms.
Furthermore, and of particular interest to distributed processing, input video files can be easily broken down into
work-units. These factors make the distribution of video encoding processes viable. The majority of research
on distributed processing has focused on Grid technologies, however, in practicality, Grid services tend to be
inflexible and offer poor support for ad-hoc interaction. Consequently it can be difficult for such technologies to
efficiently exploit the growing pool of resources available around the edge of the Internet on home PCs. This
project attempts to overcome these deficiencies.