fish4knowledge project

We have hosted the application fish4knowledge project in order to run this application in our online workstations with Wine or directly.

Quick description about fish4knowledge project:

The Fish4knowledge project investigated: information abstraction and storage methods for analyzing undersea Video data (from 10E+15 pixels to 10E+12 units of information), machine and human vocabularies for detecting & describing fish, flexible process architectures to process the data and scientific queries and effective specialised user query interfaces. A combination of computer vision, database storage, workflow and human computer interaction methods were used to achieve this.

The project used live Video feeds from 10 underwater cameras as a testbed for investigating more generally applicable methods for capture, storage, analysis and querying of multiple Video streams. We collated a public database from 3 years containing Video summaries of the observed fish and associated descriptors. Expert web-based interfaces were developed for use by marine researchers, allowing unprecedented access to live and previously stored videos, or previously extracted information.

Features:

• Public demo user interface: http: //gleoncentral.nchc.org.tw
• Public full Video database download: http: //gad240.nchc.org.tw/tai/video_query/

Audience: Developers.

Programming Language: MATLAB, C++.
Categories: