Fish4Knowledge

Supporting humans in knowledge gathering and question answeringnw.r.t. marine and environmental monitoring through analysis of multiple video streams

Coordinatore	THE UNIVERSITY OF EDINBURGH    more  Organization address address: Roxburgh Street 1 city: Edinburgh postcode: EH8 9TA contact info Titolo: Ms. Nome: Angela Cognome: Noble Email: send email Telefono: +44 131 650 9024 Fax: +44 131 650 9023
Nazionalità Coordinatore	United Kingdom [UK]
Totale costo	2˙537˙075 €
EC contributo	1˙915˙000 €
Programma	FP7-ICT Specific Programme "Cooperation": Information and communication technologies
Code Call	FP7-ICT-2009-5
Funding Scheme	CP
Anno di inizio	2010
Periodo (anno-mese-giorno)	2010-10-01   -   2013-09-30

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	THE UNIVERSITY OF EDINBURGH  Organization address address: Roxburgh Street 1 city: Edinburgh postcode: EH8 9TA contact info Titolo: Ms. Nome: Angela Cognome: Noble Email: send email Telefono: +44 131 650 9024 Fax: +44 131 650 9023	UK (Edinburgh)	coordinator	0.00
2	NATIONAL APPLIED RESEARCH LABORATORIES  Organization address address: HOPING EAST ROAD city: TAIPEI postcode: 10668 contact info Titolo: Dr. Nome: Fang-Pang Cognome: Lin Email: send email Telefono: +886 3 5776085 Fax: +886 3 5773538	TW (TAIPEI)	participant	0.00
3	STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA  Organization address address: Science Park city: AMSTERDAM postcode: 1098XG contact info Titolo: Ms. Nome: Margriet Cognome: Brouwer Email: send email Telefono: +31 20 5924253 Fax: +31 20 5924199	NL (AMSTERDAM)	participant	0.00
4	UNIVERSITA DEGLI STUDI DI CATANIA  Organization address address: PIAZZA UNIVERSITA city: CATANIA postcode: 95131 contact info Titolo: Prof. Nome: Daniela Cognome: Giordano Email: send email Telefono: +39 0957382371 Fax: +39 0957382397	IT (CATANIA)	participant	0.00

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 Obiettivo del progetto (Objective)

The study of marine ecosystems is vital for understanding environmental effects, such as climate change and the effects of pollution, but is extremely difficult because of the inaccessibility of data. Undersea video data is usable but is tedious to analyse (for both raw video analysis and abstraction over massive sets of observations), and is mainly done by hand or with hand-crafted computational tools. Fish4Knowledge will allow a major increase in the ability to analyse this data: 1) Video analysis will automatically extract information about the observed marine animals which is recorded in an observation database. 2) Interfaces will be designed to allow researchers to formulate and answer higher level questions over that database.nnThe project will investigate: information abstraction and storage methods for reducing the massive amount of video data (from 10E15 pixels to 10E12 units of information), machine and human vocabularies for 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 will be used to achieve this.nnThe project will use 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.nWe will collate a public database from 2 years containing video summaries of the observed fish and associated descriptors. Expert web-based interfaces will be developed for use by the marine researchers themselves, allowing unprecedented access to live and previously stored videos, or previously extracted information. The marine researcher interface will also allow easy formulation of new queries. Extensive user community evaluations will be carried out to provide information on the accuracy, ease and speed of retrieval of information.