TY - GEN
T1 - Distortion optimized scheduling and QoS driven prioritization of video streams over WLAN
AU - Politis, Ilias
AU - Pliakas, Thomas
AU - Tsagkaropoulos, Michail
AU - Dagiuklas, Tasos
AU - Kormentzas, George
AU - Kotsopoulos, Stavros
PY - 2007
Y1 - 2007
N2 - This paper presents a distortion optimization scheme. It involves a packet scheduling algorithm, based on a novel distortion prediction model, and a prioritization mechanism that categorizes the transmitted packets according to their video distortion importance to different priority classes. In the proposed scheme the video streams have been encoded based on the H.264/AVC codec with its multi-reference frame capability. A distortion prediction model, designed to capture the multi-referenced frame coding characteristic, is used to predetermine the distortion importance of each video frame in the stream. This information is prestored in each packet header. A scheduling algorithm will select which individual packet or combinations of packets will be drop based on the available transmission rate of the communication network, which in this case is a 802.11e WLAN. The network has been configured to differentiate the transmitted packets according to their distortion impact. Significant video packets are appointed to high priority access categories while least significant packets to lower categories. Simulation results show the improvement in the received video quality between the proposed scheduling scheme and an additive-distortion scheduling approach that omits the correlations among neighboring video frames. Moreover the simulation results show the improvement on the received video quality when the prioritization mechanism is implemented in addition to the packet scheduling algorithm.
AB - This paper presents a distortion optimization scheme. It involves a packet scheduling algorithm, based on a novel distortion prediction model, and a prioritization mechanism that categorizes the transmitted packets according to their video distortion importance to different priority classes. In the proposed scheme the video streams have been encoded based on the H.264/AVC codec with its multi-reference frame capability. A distortion prediction model, designed to capture the multi-referenced frame coding characteristic, is used to predetermine the distortion importance of each video frame in the stream. This information is prestored in each packet header. A scheduling algorithm will select which individual packet or combinations of packets will be drop based on the available transmission rate of the communication network, which in this case is a 802.11e WLAN. The network has been configured to differentiate the transmitted packets according to their distortion impact. Significant video packets are appointed to high priority access categories while least significant packets to lower categories. Simulation results show the improvement in the received video quality between the proposed scheduling scheme and an additive-distortion scheduling approach that omits the correlations among neighboring video frames. Moreover the simulation results show the improvement on the received video quality when the prioritization mechanism is implemented in addition to the packet scheduling algorithm.
UR - http://www.scopus.com/inward/record.url?scp=48649110890&partnerID=8YFLogxK
U2 - 10.1109/PACKET.2007.4397060
DO - 10.1109/PACKET.2007.4397060
M3 - Conference contribution
AN - SCOPUS:48649110890
SN - 1424409810
SN - 9781424409815
T3 - PACKET VIDEO 2007 - 16th International Packet Video Workshop
BT - PACKET VIDEO 2007 - 16th International Packet Video Workshop
T2 - PACKET VIDEO 2007 - 16th International Packet Video Workshop
Y2 - 12 November 2007 through 13 November 2007
ER -