Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	April 2016
Genre:	Naturwissensch., Medizin, Technik
	Animal Science / Artificial Intelligence / B / Computational Intelligence / Computer Vision / Conservation of wildlife & habitats / engineering / fish / Fish & Wildlife Biology & Management / Image processing / Image Processing and Computer Vision / Optical data processing / Tierhaltung, Viehhaltung / Wildlife mehr...
ISBN:	9783319302065
EAN-Code:	9783319302065
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#104 - Intelligent Systems Reference Library
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	6328 gr
Seiten:	319
Illustration:	XVII, 319 p. 135 illus., 13 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book gives a start-to-finish overview of the whole Fish4Knowledge project, in 18 short chapters, each describing one aspect of the project. The Fish4Knowledge project explored the possibilities of big video data, in this case from undersea video. Recording and analyzing 90 thousand hours of video from ten camera locations, the project gives a 3 year view of fish abundance in several tropical coral reefs off the coast of Taiwan. The research system built a remote recording network, over 100 Tb of storage, supercomputer processing, video target detection and tracking, fish species recognition and analysis, a large SQL database to record the results and an efficient retrieval mechanism. Novel user interface mechanisms were developed to provide easy access for marine ecologists, who wanted to explore the dataset. The book is a useful resource for system builders, as it gives an overview of the many new methods that were created to build the Fish4Knowledge system in a manner that also allows readers to see how all the components fit together.