Abstract
Traditional DASH (dynamic adaptation streaming over HTTP(i.e., HyperText Transfer Protocol)) bitrate strategy cannot differentiate segments with different complexities of video content, resulting in the user’s QoE (quality of experience) of segments with high content complexity as worse than that with low content complexity. In case of this, this paper firstly studies video coding and puts forward the definition of video content complexity. Then the effects of content complexity on user’s QoE is analyzed and the QoE utility function of the segment is formulated based on its MOS (mean opinion score, related to the content complexity and bitrate) and bitrate switching between consecutive segments. Last, in order to maximize user’s QoE, this paper proposes VCC-DASH (video content complexity-aware DASH bitrate adaptation strategy) under the constraints of the network bandwidth and the buffer occupancy. In simulations, we compare VCC-DASH with the classical bitrate adaptation strategy proposed by Liu et al. (LIU’s strategy, for short). The simulation results show that the two strategies have similar performances in bitrate switching numbers, playback interruption times, and buffer lengths. In addition, it is more important for simulation results to reveal that VCC-DASH’s average bitrate is much higher than that of LIU’s strategy, which means that VCC-DASH can make fuller use of the network bandwidth than LIU’s strategy does. Moreover, the MOS distribution of the VCC-DASH is more concentrated on the better scores “4~5”, which profit from its content complexity-aware adaptation to allocate more bandwidth resources to high-complexity segments.
Highlights
DASH
When a video streaming session starts, the server sends the MPD file to the client to offer access to the segments, and the client sends an HTTP-get message to request the segment with a bitrate closest to the available network bandwidth
Traditional DASH bitrate adaptation strategies (e.g., [5,6,7,8]) adapt to the network bandwidth to select the media representation for each segment and ignore the differentiated requirement of the content complexity on the bitrate, which results in much worse playback quality for segments with high content complexity than those with low content complexity
Summary
Protocol))-based technology has been widely adopted to deliver video content over the Internet since it is able to automatically match video quality with the available network bandwidth for proper accessibility and delivery [1]. Based on the network bandwidth and from different bitrates encoded versions It clearly specifies the conditions of switching-up the buffer occupation, the bitrate is adapted to maximize the resulting QoE. The contributions of this paper are as follows: (i) defines the content complexity of video using its encoding information; (ii) formulates QoE utility function of the segment based on its MOS (relates to its content complexity and bitrate) and the bitrate switching between consecutive segments; and (iii) establishes an QoE optimization model under the constraints of the network bandwidth and the buffer occupation to adjust the bitrate dynamically and maximize users’ QoE
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
