Adaptive source rate control for real-time wireless video transmission

被引:20
|
作者
Liu H. [1 ,2 ,3 ,4 ,5 ]
El Zarki M. [1 ,5 ,6 ,7 ,8 ,9 ,10 ,11 ,12 ,13 ]
机构
[1] Video Proc. and Telecom. Laboratory, Department of Electrical Engineering, University of Pennsylvania, Philadelphia
[2] NEC USA, Inc., C and C Research Lab., Princeton, NJ 08540
[3] University of New Orleans, New Orleans, LA
[4] Department of Electrical Engineering, University of Pennsylvania
[5] Columbia University, New York, NY
[6] Dept. of Telecommunication Networks, Faculty of Electrical Engineering, Delft University of Technology, Delft
[7] ACM, IEEE, Sigma Xi
关键词
Video Transmission; Source Rate; Quantization Scale; Frame Error Rate; Cyclic Redundancy Check;
D O I
10.1023/A:1019108328296
中图分类号
学科分类号
摘要
Hybrid ARQ schemes can yield much better throughput and reliability than static FEC schemes for the transmission of data over time-varying wireless channels. However these schemes result in extra delay. They adapt to the varying channel conditions by retransmitting erroneous packets, this causes variable effective data rates for current PCS networks because the channel bandwidth is constant. Hybrid ARQ schemes are currently being proposed as the error control schemes for real-time video transmission. An important issue is how to ensure low delay while taking advantage of the high throughput and reliability that these schemes provide for. In this paper we propose an adaptive source rate control (ASRC) scheme which can work together with the hybrid ARQ error control schemes to achieve efficient transmission of real-time video with low delay and high reliability. The ASRC scheme adjusts the source rate based on the channel conditions, the transport buffer occupancy and the delay constraints. It achieves good video quality by dynamically changing both the number of the forced update (intracoded) macroblocks and the quantization scale used in a frame. The number of the forced update macroblocks used in a frame is first adjusted according to the allocated source rate. This reduces the fluctuation of the quantization scale with the change in the channel conditions during encoding so that the uniformity of the video quality is improved. The simulation results show that the proposed ASRC scheme performs very well for both slow fading and fast fading channels.
引用
收藏
页码:49 / 60
页数:11
相关论文
共 50 条
  • [41] A novel adaptive error control scheme for real time wireless video streaming
    Liu, X
    Badawy, W
    [J]. ITRE2003: INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY: RESEARCH AND EDUCATION, 2003, : 460 - 463
  • [42] Sequence level video quality smoothing and rate control for real-time video recording
    He, ZH
    Chen, CW
    [J]. IMAGE AND VIDEO COMMUNICATIONS AND PROCESSING 2003, PTS 1 AND 2, 2003, 5022 : 434 - 439
  • [43] Fuzzy-based rate control for real-time MPEG video
    Tsang, DHK
    Bensaou, B
    Lam, STC
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 1998, 6 (04) : 504 - 516
  • [44] Real-time dynamic rate shaping and control for Internet video applications
    Jacobs, S
    Eleftheriadis, A
    [J]. 1997 IEEE FIRST WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING, 1997, : 558 - 563
  • [45] Adaptive rate control low bit-rate video transmission over wireless Zigbee networks
    Zainaldin, Ahmed
    Lambadaris, Ioannis
    Nandy, Biswajit
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, PROCEEDINGS, VOLS 1-13, 2008, : 52 - 58
  • [46] Real-time video transmission in vehicular networks
    Bonuccelli, Maurizio A.
    Giunta, Gaetano
    Lonetti, Francesca
    Martelli, Francesca
    [J]. 2007 MOBILE NETWORKING FOR VEHICULAR ENVIRONMENTS, 2007, : 115 - +
  • [47] An imprecise real-time video transmission algorithm
    Cheng, AMK
    Huang, XF
    [J]. IMAGE ANALYSIS APPLICATIONS AND COMPUTER GRAPHICS, 1995, 1024 : 491 - 492
  • [48] Adaptive Video Transmission Control Scheme in Wireless Networks
    Dong, Linfang
    Liu, Shang
    [J]. PROCEEDINGS OF THE NINTH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS TO BUSINESS, ENGINEERING AND SCIENCE (DCABES 2010), 2010, : 557 - 560
  • [49] Unequal Power Allocation for Real-time Uncompressed Video Transmission over Wireless Channels
    Zhang, Zhilong
    Liu, Danpu
    [J]. 2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, : 1142 - 1147
  • [50] Application of Multilink Aggregation and Load Balancing in Wireless Real-time Video Transmission System
    He, Zhiheng
    Huang, Jian
    [J]. 2018 INTERNATIONAL CONFERENCE ON SENSOR NETWORKS AND SIGNAL PROCESSING (SNSP 2018), 2018, : 277 - 282