Nowadays, due to the increase in network bandwidth, more people gained access to various multimedia contents, such as videos. Currently this is considered to be one of the most efficient ways of advertising, and because of various instances of entertainments (television shows, series, movies), its significance is even greater.
As in almost other areas, substancial changes and transformations have occured in content conssumption in recent years. The so called linear media (like traditional TV channels and radio stations) has lost its popularity. In the era of YouTube, Spotify and Netflix, the need for services that do not allow direct user control is dying. The user accustomed to the oppurtunities of present wants to see the next episode of his TV show wherever and whenever he wants and the same is true for his listening habits.
These days, it is clear that streaming is a technology that is popular world-wide, and it enables hundreds of millions of people to consume different types of multimedia content, such as video and audio. The essence of this technology is that you do not have to wait for the entire content to download in advance, but the pieces you have already received are available to you right away.
The better is the media quality the higher is the required resource to processing in the client side.
In my thesis I examine the current hardware acceleration options and implement a measurement environment to perform performance measurements and draw conclusions about its usability in a real, industrial environment.