A Simple Data Compression Algorithm To Reduce Video Bandwidth Demand and Lower Costs

Top 15 Best Free IPTV Players 2022 - TechCultVideo codec programs are currently capable of reducing the file size (bandwidth) of video content by a factor of about 100:1. A recently developed algorithm utilizing the Haar wavelet transform (WT) and interfacing with a conventional codec program can reduce the size and bandwidth requirements of a video file by an additional order of magnitude, by a factor of 10, without loss of video quality premium iptv. In other words, when a conventional codec alone decreases a video file to 1/100 of its original uncompressed size, then the combination of codec and Haar WT algorithm decreases the size of the video file to roughly 1/1000 of its original size.

Industry commentators in recent years have reported a growing crisis in telecommunication network capacities. Global bandwidth demand has increased exponentially with the proliferation of new services and products, such as mobile broadband applications for laptops and smart phones, internet protocol television (IPTV), video on demand (VOD), video downloading and streaming video. Video will soon replace voice calls as the preferred real-time communications medium.

The so-called bandwidth crisis is two-fold. Telecommunication infrastructures were planned and built for a world that did not contemplate ubiquitous video files. Nevertheless, service providers and manufacturers continue to introduce new products and subscription packages to increase demand and market share, leading to bandwidth capacity shortages.

It was not known until recently that the Haar wavelet transform (WT) could be effectively applied in the field of video compression and decompression. A wavelet is a mathematical function localized in space. As such, wavelet transforms are useful for analyzing physical phenomena having discontinuities and spikes, such as occur in audio signals and images. A WT can extract essential information from data and thereby compress it. The Haar WT is one of the simpler wavelet transforms and is, therefore, relatively easy to utilize.

Human beings process sensory information in their brains in a manner somewhat similar to wavelet transforms, that is, they extract important information and discard data that is irrelevant from the standpoint of human perception. Accordingly, an algorithm based on the Haar WT can be designed to mimic the data processing of human brains. It compresses video data by extracting information vital to human perception and discarding less relevant data.

FTTH (Fiber To The Home) installations are becoming increasingly popular in domestic networking solutions. Gone are the days when a dial up connection was all that which could suffice for a home Internet connection. The complexity of modern data applications that have domestic origins means that the demand can hardly be met on these other platforms.

The modern home can hardly live up to expectations devoid of an effective high-speed network connection. While broadband and DSL are the more popular choices of connection methods for homeowners who wanted faster connections, they are now technically inferior to FTTH. This is with regards to rising inventions such as IPTV.

In the current implementation of the standard, homes are typically enjoying connection speeds of up to 100+ Mbps. Considering that this is given with a commitment for round the clock availability of a connection regardless of the time of day it is. This is indeed more than what can be said about offers offering about the same level of connectivity albeit at slower rates.

There is a host of advantages that you stand to benefit from when you secure your connection on this platform. The first of these is the distance at which the connection is effective. While twisted pair copper cable is limited to tens of meters in delivering effectively when FTTH is deployed on Gigabit Ethernet, it can communicate effectively over tens of kilometers without affecting quality of the signals.

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