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CLC number: TN919.8

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Received: 2005-12-15

Revision Accepted: 2006-02-20

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.5 P.864~872

10.1631/jzus.2006.A0864


Rate-distortion optimized frame dropping and scheduling for multi-user conversational and streaming video


Author(s):  Tu Wei, Chakareski Jacob, Steinbach Eckehard

Affiliation(s):  Media Technology Group, Institute of Communication Networks, Munich University of Technology, Munich D-80333, Germany; more

Corresponding email(s):   wei.tu@tum.de, jakov.cakareski@epfl.ch, eckehard.steinbach@tum.de

Key Words:  Rate-distortion optimization, Video frame dropping, Conversational video, Streaming video, Distortion matrix, Hint tracks, Scheduling, Resource assignment


Tu Wei, Chakareski Jacob, Steinbach Eckehard. Rate-distortion optimized frame dropping and scheduling for multi-user conversational and streaming video[J]. Journal of Zhejiang University Science A, 2006, 7(5): 864~872.

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Abstract: 
We propose a Rate-Distortion (RD) optimized strategy for frame-dropping and scheduling of multi-user conversational and streaming videos. We consider a scenario where conversational and streaming videos share the forwarding resources at a network node. Two buffers are setup on the node to temporarily store the packets for these two types of video applications. For streaming video, a big buffer is used as the associated delay constraint of the application is moderate and a very small buffer is used for conversational video to ensure that the forwarding delay of every packet is limited. A scheduler is located behind these two buffers that dynamically assigns transmission slots on the outgoing link to the two buffers. Rate-distortion side information is used to perform RD-optimized frame dropping in case of node overload. Sharing the data rate on the outgoing link between the conversational and the streaming videos is done either based on the fullness of the two associated buffers or on the mean incoming rates of the respective videos. Simulation results showed that our proposed RD-optimized frame dropping and scheduling approach provides significant improvements in performance over the popular priority-based random dropping (PRD) technique.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1] Cha, H., Oh, J., Ha, R., 2003. Dynamic frame dropping for bandwidth control in MPEG streaming system. Multimedia Tools and Applications, 19(2):155-178.

[2] Chakareski, J., Frossard, P., 2005a. Rate-Distortion Optimized Packet Scheduling over Bottleneck Links. Proc. ICME. Amsterdam, Netherlands.

[3] Chakareski, J., Frossard, P., 2005b. Low-Complexity Adaptive Streaming via Optimized a Priori Media Pruning. Proc. Workshop on Multimedia Signal Processing. Shanghai, China.

[4] Chakareski, J., Apostolopoulos, J.G., Wee, S., Tan, W., Girod, B., 2004. R-D Hint Tracks for Low-Complexity R-D Optimized Video Streaming. Proc. ICME. Taipei, Taiwan.

[5] Chakareski, J., Apostolopoulos, J.G., Wee, S., Tan, W., Girod, B., 2005. Rate-distortion hint tracks for adaptive video streaming. IEEE Trans. on CSVT, 15(10):1257-1269.

[6] Feng, W., Liu, M., Krishnaswami, B., Prabhudev, A., 1999. A Priority-Based Technique for the Best-Effort Delivery of Stored Video. SPIE/IS&T Multimedia Computing and Networking 1999. San Jose, CA.

[7] Liang, Y., Apostolopoulos, J.G., Girod, B., 2003. Analysis of Packet Loss for Compressed Video: Does Burst Loss Matter? Proc. ICASSP. Hongkong, China.

[8] Lu, Y., Christensen, K.J., 1999. Using selective discard to improve real-time video quality on an ethernet local area network. International Journal of Network Management, 9(2):106-117.

[9] Mahajan, R., Floyd, S., Wetherall, D., 2001. Controlling High-Bandwidth Flows at the Congested Router. Proc. ICNP2001. Riverside, CA.

[10] Tu, W., Kellerer, W., Steinbach, E., 2004. Rate-Distortion Optimized Video Frame Dropping on Active Network Nodes. Proc. Packet Video Workshop. Irvine, CA.

[11] Vetro, A., Christopoulos, C., Sun, H., 2003. Video trans-coding architectures and techniques: an overview. IEEE Signal Processing Magazine, 20(2):18-29.

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