Enhanced prioritization for video streaming over QoS-enabled wireless networks

Abstract

Delivering video over wireless networks is a challenge especially when high definition is required. This paper presents a modified slicing scheme that can provide in-frame packet prioritization. The proposed scheme is based on the unequal importance of different regions within a frame in the presence of cyclic intra refresh lines (used to reduce temporal error propagation). Packet priority is then applied based on the relative position of a slice with respect to the intra refresh line. The proposed scheme does not require any decoder modification. Additionally, the scheme does not add any bitrate or computational overheads. Simulation results for a quality of service enabled wireless network prove that the scheme can achieve quality gains up to 3 dB over sending video without applying priorities.

Distortion-Based Slice Level Prioritization for Real-Time Video over QoS-Enabled Wireless Networks

“…However, the work in [11] made no contribution to the issue of prioritization. In fact, both the other two schemes [9,10] differed from the present proposal because prioritization of slices was determined by the position of the cyclic intracoded line within each video frame rather than through distortion analysis.…”

“…Other work by the authors explored alternative ways to prioritize data in the presence of a cyclic intracoded line or examined the impact of a cyclic intracoded line. In [9], the line split the frame into three unequal regions and a scheme was presented that ensured the regions' areas were properly assigned to slices. Then in [10], regions were allowed to wrap around a frame's boundaries so that region sizes could be equalized.…”

Expected Quality of Service (eQoS) A network metric for capturing end-user experience

“…Three main techniques to improve the QoS provided to streaming services have also been explored in the literature: The first technique is a simple scheme for the prioritization of streaming traffic [13]. The second technique combines data gathered from different layers of the protocol stack [14] e.g.…”