Performance linked workflow composition for video processing an ecological inspiration
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Performance linked Workflow Composition for Video Processing – An Ecological Inspiration. Jessica Chen-Burger University of Edinburgh. An Ecological Motivation. An oil spill occurred at Lungkeng near Ken-Ting ( 墾丁龍坑生態區 )

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Performance linked workflow composition for video processing an ecological inspiration

Performance linked Workflow Composition for Video Processing – An Ecological Inspiration

Jessica Chen-Burger

University of Edinburgh


An Ecological Motivation

  • An oil spill occurred at Lungkeng near Ken-Ting (墾丁龍坑生態區 )

  • the head of the Environmental Protection Administration (EPA), Lin Jun-yi vowed to restore it to its former condition within 2 months.

  • But it is unclear as how this may be achieved –

  • There was no prior survey on the area - there isn’t a basis for referring to Lungkeng's original ecosystem prior the oil spill.

Source: Taiwan News, http://www.etaiwannews.com/Viewpoint/2001/02/14/982136471.htm



In Response ecology before the spill, one could have used it as a basis to seek

  • In 1992, TERN (Taiwan long-term Ecological Research) project, a join effort with US NSF long-term ecological research, were formed.

  • Sponsored by Taiwanese National Science Council (NSC).

  • Wireless Sensor Nets were constructed and managed by NCHC.

  • NCHC (National Center for High-performance Computing).


Source: NCHC ecology before the spill, one could have used it as a basis to seek


  • Ken-Ting National Park ecology before the spill, one could have used it as a basis to seek

  • Under-water surveillance

Sensor Grid in Taiwan

福山

鴛鴦湖

關刀溪

塔塔加

南仁山

墾丁

Ken-Ting coral reef at

Third Nuclear Power Station

Adapted from Source: NCHC


Objectives and Scope ecology before the spill, one could have used it as a basis to seek of EcoGrid

  • To develop a scalable observational environment that is capable to hierarchically connect local environmental observatories into a global one via grid and web-service technologies.

  • To enable scientific and engineering applications in long term ecological Research (LTER) as well as environmental hazard mitigation.

  • To provide an end-to-end process from automatic information collection to automated analysis and documentation.

  • To provide a useful feedback loop for Ecologists.

  • Relevant Technology and solution:

    • Self-aware and adaptive workflow composition and management.


Challenges ecology before the spill, one could have used it as a basis to seek

  • The vast amount of data available to us is of tremendous value.

  • However, how to process them efficiently and effectively is a big challenge:

    • One minute of video clip takes 1829 frames and 3.72 Mbytes;

    • That is 223.2 MB per minute, 5356.8 MB per day, and

    • 1.86 Terabytes per year for one operational camera;

    • Currently there are 3 under-water operational camera.


  • Human Efforts: ecology before the spill, one could have used it as a basis to seek

    • Assuming one minute’s clip will need one human expert manual processing time of 15 minutes:

    • This means that for one camera and one year’s recording will cost a human expert 15 years’ efforts just to do some basic annotation work;

    • This is a hopeless situationand automation must be deployed in order to carry out these tasks efficiently and effectively.

  • In addition, relevant clips need to be related, organised, classified in a sensible structure, and so that additional properties may be further derived, however, this is again time consuming.


Challenges

Dynamic nature of collected video ecology before the spill, one could have used it as a basis to seek

Target information is variable and un-predictable

Limited expertise

Untrained Grid/workflow tool users

Challenges


Challenges1
Challenges ecology before the spill, one could have used it as a basis to seek

  • Effective and efficient workflow automation

  • Data co-relation identification, management and retrieval

  • Presentation of information

    • Rendering of images

    • annotation

    • co-relation with other information/clips


Challenges2
Challenges ecology before the spill, one could have used it as a basis to seek

  • Spectrum of quality in data

  • Lack of uniformity in data

  • Diverse user requirements


Opportunities
Opportunities ecology before the spill, one could have used it as a basis to seek

  • Rich processing opportunity

  • Long-term ecological documentary and analysis

  • Flexible practice that is incrementally improved over time

  • Semantic based annotation


A workflow design
A Workflow Design ecology before the spill, one could have used it as a basis to seek


Images from ken ting national park

Thank you for listening ecology before the spill, one could have used it as a basis to seek

Images from Ken Ting National Park


Thank you for listening

Thank you for listening ecology before the spill, one could have used it as a basis to seek

Gayathri Nadarajan, Yun-Heh Chen-Burger, James Malone. "Semantic-Based Workflow Composition for Video Processing in the Grid". The 2006 IEEE/WIC/ACM International Conference on Web Intelligence, Hong Kong, 18-22 December, 2006.


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