Paper Info
Title
A video processing and data retrieval framework for fish population monitoring
Abstract
In this work we present a framework for fish population monitoring through the analysis of underwater videos. We specifically focus on the user information needs, and on the dynamic data extraction and retrieval mechanisms that support them. 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. In the case of fish population monitoring, marine biologists have to interact with a system which not only provides information from a biological point of view, but also offers instruments to let them guide the video processing task for both video and algorithm selection. 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.
Year
DOI
Venue
2013
10.1145/2509896.2509906
MAED@ACM Multimedia
Keywords
Field
DocType
specific data,interface satisfies user,on-demand data retrieval,user information need,underwater video,data retrieval framework,dynamic data extraction,underlying video processing,retrieval mechanism,video processing task,fish population monitoring,data visualization
Computer vision,Video processing,Data visualization,Information retrieval,Computer science,Data retrieval,User information,Dynamic data,Population dynamics of fisheries,Artificial intelligence,User interface,Workflow
Conference
Citations 
PageRank 
References 
5
0.57
11
Authors
6
Name
Order
Citations
PageRank
Emma Beauxis-Aussalet1204.75
Simone Palazzo218321.22
Gayathri Nadarajan3757.94
Elvira Arslanova4182.33
Concetto Spampinato552158.13
Lynda Hardman61487178.36