Adaptive Streaming of MPEG-based Audio/Video Content over Wireless Networks

Abstract

<p class="MsoNormal" style="text-align: left; margin: 0cm 0cm 0pt; layout-grid-mode: char; mso-layout-grid-align: none;" align="left"><span class="text"><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;">This paper describes a method for robust streaming of combined MPEG audio/video content (encoded either with MPEG-2 or MPEG-4/H.264) over in-home wireless networks. We make use of currently used content distribution format (MPEG Transport Stream) and network protocols (either RTP or TCP/HTTP). The transmitted bit-rate is constantly adapted to the available network bandwidth, such that audio and video artifacts caused by packet loss are avoided. Bit-rate adaptation is achieved by using a packet scheduling technique called I-Frame Delay (IFD), which performs priority-based frame dropping upon insufficient bandwidth. We show an implementation using RTP and an implementation using TCP. Measurements on a real-life demonstrator set-up demonstrate the effectiveness of our approach.</span></span><span style="font-family: ";Arial";,";sans-serif";; font-size: 9pt;"></span></p

Cross-layer packet prioritization for error-resilient transmission of IPTV system over wireless network

“…Alternatively, frame prioritization schemes have been proposed that manage the transmission rates and delays in video streaming [10][11][12][13][14][15]. Due to the conventional wisdom that packet prioritization requires high CPU consumption [10], the application of these schemes has been constrained to the unit of the frame, even though a packet is a more fine-grained unit of video transmission.…”

“…In these schemes, the H.264/AVC network abstraction layer (NAL) header information, such as Nal_Ref_Idc (NRI), is mapped to the IEEE 802.11e access categories (ACs) in order to provide highly error-resilient transmission of video. Other notable approaches are the frame prioritization schemes that manage the transmission rates and the delays of video streaming [10][11][12][13][14][15]. In these schemes, the video frames are prioritized according to their importance, and lower priority frames are selectively dropped when network conditions deteriorate.…”

“…First, the existing data partition prioritization schemes only work in the Extended profile [5], which is a profile that is rarely used in practice. Second, the existing schemes focus primarily on the granularity of the data partitions [4][5][6][7][8][9] or video frames [10][11][12][13][14][15] of H.264/AVC. In order to enhance the quality of the video streaming, the stream should be processed on a per-packet basis.…”

A scheduling framework for adaptive video delivery over cellular networks

“…There is a plethora of work, e.g., [24][25][26][27][28], on radio resource management for wireless networks specifically targeted at optimizing video delivery. However, these schemes are designed for single-rate video streams and are not directly applicable for DASH video flows since they do not consider client-side adaptation of the incoming video streams.…”

Adaptive Monitoring Relevance in Camera Networks for Critical Surveillance Applications

“…Video streams and still images can be processed by coding algorithms that produce data with different relevancies for the reconstruction of the original media, as in [15][16][17]. Table 4 presents a mapping between MR indexes and coding quality, but now exploiting the characteristics of DWT [15][16][17] and MPEG-4 [35] coding techniques. Doing so, cameras in higher relevant monitoring cells will transmit visual data with higher quality.…”