Abstract
This chapter introduces and gives an overview of the EC funded research project called Fish4Knowledge, which investigated ‘big-data’ issues arising from processing 87 thousand hours of video to detect and analyze 1.4 billion tropical coral reef fish. The chapter starts with a brief tour of the project, and then gives some of the background to the project and researchers.
| Original language | English |
|---|---|
| Title of host publication | Fish4Knowledge |
| Subtitle of host publication | Collecting and Analyzing Massive Coral Reef Fish Video Data |
| Publisher | Springer International Publishing |
| Pages | 1-17 |
| Number of pages | 17 |
| ISBN (Electronic) | 9783319302089 |
| ISBN (Print) | 9783319302065 |
| DOIs | |
| Publication status | Published - 2016 |
Publication series
| Name | Intelligent Systems Reference Library |
|---|---|
| Publisher | Springer International Publishing |
| Volume | 104 |
| ISSN (Print) | 1868-4394 |
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems and Management
- Library and Information Sciences
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Cite this
Fisher, R. B., Shao, K. T., & Chen-Burger, Y-H. (2016). Overview of the fish4knowledge project. In Fish4Knowledge: Collecting and Analyzing Massive Coral Reef Fish Video Data (pp. 1-17). (Intelligent Systems Reference Library; Vol. 104). Springer International Publishing. https://doi.org/10.1007/978-3-319-30208-9_1