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A video processing and data retrieval framework for fish population monitoring
2013
Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data - MAED '13
Sophisticated though a software tool may be, it is ultimately important that its interface satisfies users' actual needs and that users can easily focus on the specific data of interest. ...
This paper aims at describing the system's underlying video processing and workflow low-level details, and their connection to the user interface for on-demand data retrieval by biologists. ...
We present here the components of our system for video data extraction and retrieval, and expose the mechanisms developed for dynamic and flexible data analysis. ...
doi:10.1145/2509896.2509906
dblp:conf/mm/Beauxis-Aussalet13
fatcat:th4uemaehjdd5is57a3rk3un4u
Understanding fish behavior during typhoon events in real-life underwater environments
2012
Multimedia tools and applications
Recent projects involving the installation of permanent underwater cameras (e.g. the Fish4Knowledge (F4K) project, for the observation of Taiwan's coral reefs) allow to gather huge quantities of video ...
data, without interfering with the observed environment, but at the same time require the development of automatic processing tools, since manual analysis would be impractical for such amounts of videos ...
The data for the project comes from the fixed camera underwater monitoring system of the Fish4Knowledge project (Section 2). ...
doi:10.1007/s11042-012-1101-5
fatcat:ra3daa27s5g2dbv7po76yeqlji
Parallel stochastic systems biology in the cloud
2013
Briefings in Bioinformatics
He has been working to EU-STREP FP7 Fish4Knowledge project and the AQUACAM research program. ...
In this work, we advocate the high-level software design as a vehicle for building efficient and portable parallel simulators for the cloud. ...
The Microsoft@home project permits the execution of generic scientific computer-intensive applications, including Folding@home, in the cloud. ...
doi:10.1093/bib/bbt040
pmid:23780997
fatcat:j4twwscdvbgjfl7ayapqsdzecu
Feedback-Control & Queueing Theory-Based Resource Management for Streaming Applications
2017
IEEE Transactions on Parallel and Distributed Systems
We propose an autonomic controller (based on feedback control and queueing theory) to elastically provision virtual machines to meet performance targets associated with a particular data stream. ...
A wide variety of devices, from smart phones to dedicated sensors, have the capability of collecting and streaming large amounts of data at unprecedented rates. ...
The EU-funded Fish4Knowledge project [20] developed algorithms and a distributed infrastructure in order to support automated video analysis of undersea video data. ...
doi:10.1109/tpds.2016.2603510
fatcat:ym5twd6bb5bsjjhukv4umkffwu
The Use of Saliency in Underwater Computer Vision: A Review
2020
Remote Sensing
The informative properties of the data are systematically affected by a number of disturbing factors, such as the signal energy absorbed by the propagation medium or diverse noise categories contaminating ...
Underwater survey and inspection are tasks of paramount relevance for a variety of applications. ...
The proposed method is tested with respect to the object recognition task on the Fish4Knowledge dataset [49] . ...
doi:10.3390/rs13010022
fatcat:7i6r2jftdvdtzepcecm56pqqhi
Model-driven development of data intensive applications over cloud resources
2018
Future generations computer systems
The general contribution in this paper is a model-driven and stepwise refinement methodological approach for data intensive applications executed in distributed systems.The central role in this methodology ...
Amazon, Google, or Microsoft), or in any of the more than 40 projects of the Apache Big Data Stack [2] , which include the pioneer MapReduce computation framework, or others such as Flume, Spark, Storm ...
The EU-funded Fish4Knowledge project [19] developed algorithms and a distributed infrastructure in order to support automated video analysis. ...
doi:10.1016/j.future.2017.12.046
fatcat:ucynjx7ayrgkth36x3z64cenyy
Developing deep learning methods for aquaculture applications
2020
F4K was first collected in Taiwan, with tens of thousands of hours of submarine coral reef video clips.Based on the Fish4Knowledge project, [37] published the LCF-14 manual with annotated dataset of 30,000 ...
using open-source GIMP software (see Figure 5 . ...
doi:10.25903/trb0-s150
fatcat:xtmitbsutjh7hmjne6l7keddey
Formal Foundations for Networking (Dagstuhl Seminar 15071) Holistic Scene Understanding (Dagstuhl Seminar 15081) Limitations of Convex Programming: Lower Bounds on Extended Formulations and Factorization Ranks (Dagstuhl Seminar 15082) Smart Buildings and Smart Grids (Dagstuhl Seminar 15091)
unpublished
Near-term research goals (2 years out): Scalable IP multicast that works for wide area (short-to-mid-term) Scalable and interoperable communication paths ( ...
References 1 Michele The research presented here was based on the data collected by the EU funded Fish4Knowledge project. ...
Intensive, N etworked, and Wireless-Enabled Architecture
(ECON)
Kristin Yvonne Rozier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
Constrained Horn Clauses for Software, ...
fatcat:sytmo76kmrb2jdk7za7ce7pwvm
Novel platform for topic group mining, crowd opinion analysis and opinion leader identification in on-line social network platforms
[article]
2020
inclination mining. 3) A flexible and adaptable platform design which can accommodate different on-line social networks easily. ...
Systems of this sort can identify similar topics from a very large dataset, group them together based on the topic, and analyse the inclination of the content's owner. ...
The academic results of Fish4Knowledge 1 Project are listed below: • Book Chapter: 1. ...
doi:10.7488/era/479
fatcat:jcwib3xjbneyfi4sz7fidb6yoa