A Survey On Adaptive Bitrate Algorithms and Their Improvisations

Recent years have witnessed people engaging in video streaming for innumerable purposes varying from education, entertainment, research, surveillance and many other fields. There have been multiple convenient ways to access videos and people can watch videos from numerous devices with outspread geographical locations irrespective of their network speeds. To make the video streaming adapt to varying network conditions, the adaptive bitrate algorithms (ABR) were developed. According to network conditions and throughput, the best available quality video chunk is played resulting in a considerable cut-back in buffering time, with which quality of experience (QoE) of the user is increased and makes the streaming services smooth. This ensures that watch content is of apt resolution according to the network speed. The ABR algorithms are based on fixed rule based logic and are specific to the device environment on which they are supposed to be deployed. Our proposed paper discusses the existing ABR algorithms and provides a comparative study of their performance with respect to QoE improvisations.