TDW Teams Presenter : Yi-Hsuan Chen Contact : National Center for High-performance Computing, Taiwan Date: 14/07/2009 A Distributed Architecture for Real- Time High Resolution Video Streaming

2 Outline Introduction Distributed System Architecture (Three units) Real-Time Video Streaming Case Conclusions

3 Introduction Specific device, stream formats, resolution

4 Distributed System Architecture One stream, multiple purposes These three units are designed as loose-coupling architecture Image Processor Capture unit Presentation unit

5 Three-tier architecture (1/3) Video input (Device/Interface) Format (Tool/Stream Format) HDV (1394) HD/MPEG- 2TS DV (1394) DVTS/RAW DV WEB-CAM (USB) VLC/MPEG-4 CABLE (CAPTURE CARD) VLC/MPEG-4 *HD, DVTS, and VLC are open source software Capture unit Image Processor Presentation unit

6 Three-tier architecture (2/3) Stream Receiver :VLC + FFMPGE Image Processor : stream clipping image processing image management Image Navigation: security control Capture unit Image Processor Presentation unit

7 Three-tier architecture (3/3) Can view the video from web browser or standalone version The historical monitoring window Capture unit Image Processor Presentation unit

8 Distributed stream compression Two compression concepts have been implemented Client-Server based Reduces network bandwidth Transfers video stream to multi- formats(mp4,wmv,flv,mjpeg) Server-side based Dynamically assign the video stream to suitable servers depending on loading. Compresses the video stream to a variety of bit-rates for different network bandwidth

9 Distributed stream compression Native VS With compression concepts

10 Real-Time Video Streaming Ecological Observation in Ken-Ting

11 Real-Time Video Streaming Ecological Observation in Lanyu

12 Ecological Observation in Ken-Ting web-based presentation interface of four underwater cameras HDV stream of National museum of marine biology and aquarium (Taiwan) View on iPhone

13 History Data

14 Conclusion Has been proofed in real time high-resolution ecological observation Plug and Stream Loosely coupled architecture, easy to scale-up Support multiple streaming methods Based on open source software, no hi-end hardware required.

15 Thank You !!