It is our great pleasure to welcome you to the 2nd ACM International Workshop on Multimedia Analysis for Ecological Data (MAED'13) held within ACM Multimedia 2013, in Barcelona, Spain.
MAED'13 brings together a cross-disciplinary crowd of people in order to investigate current and emerging topics within ecological multimedia data analysis. The workshop, in particular, outlines the state of the research on the most recent methods for the processing and interpretation of multimedia data recorded for monitoring ecological systems.
In total, the Program Committee accepted 7 papers (over 12 submitted papers) covering the following topics: Animal detection and recognition by processing image, video and audio data; fish and marine environment monitoring; benchmarking and user-appreciation of ecological multimedia technologies and applications in biogeography.
The workshop also features two keynote talks: 1) "Collection and Analysis of Two Complex Ecological Datasets" given by Prof. Robert Fisher from the School of Informatics, University of Edinburgh, and 2) "Understanding Animal Flight with Three-dimensional and Infrared Computer Vision" delivered by Prof. Margrit Betke from Boston University.
Proceeding Downloads
Understanding animal flight with three-dimensional and infrared computer vision: invited keynote talk
Analysis of bird and bat flight with computer vision algorithms provides a new perspective on how animals move through three-dimensional space. This is important for understanding the intricacies of flight and the interactions of airborne animals that ...
Acoustic detection of elephant presence in noisy environments
The automated acoustic detection of elephants is an important factor in alleviating the human-elephant conflict in Asia and Africa. In this paper, we present a method for the automated detection of elephant presence and evaluate it on a large dataset of ...
Cross-modal alignment for wildlife recognition
We propose an unsupervised framework for recognizing animals in videos using subtitles. In this framework, the alignment between animals and their names is performed using an Expectation Maximization algorithm which is adapted to two very different ...
A video processing and data retrieval framework for fish population monitoring
- Emma Beauxis-Aussalet,
- Simone Palazzo,
- Gayathri Nadarajan,
- Elvira Arslanova,
- Concetto Spampinato,
- Lynda Hardman
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. ...
Collection and analysis of two complex ecological datasets
The talk will present an overview of the data acquisition and analysis from the ChiRoPing and Fish4Knowledge EU funded research projects.
The imageCLEF plant identification task 2013
- Hervé Goëau,
- Alexis Joly,
- Pierre Bonnet,
- Vera Bakic,
- Daniel Barthélémy,
- Nozha Boujemaa,
- Jean-François Molino
This paper presents a synthesis of ImageCLEF 2013 plant identification task, a system-oriented testbed dedicated to the evaluation of image-based plant identification technologies. With 12 participating groups coming from over 9 countries and 33 ...
Smart multi-modal marine monitoring via visual analysis and data fusion
Estuaries and coastal areas contain increasingly exploited resources that need to be monitored, managed and protected efficiently and effectively. This requires access to reliable and timely data and management decisions must be based on analysis of ...
KOKOPIN app: a mobile platform for biogeography
KOKOPIN is a social platform enabling field research of biodiversity using an iPhone application. Our application's camera and meta-data tagging functions facilitate easy data collection. Customizable groups are another unique feature of this system.
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A case study of trust issues in scientific video collections
In-situ video recording of underwater ecosystems is able to provide valuable information for biology research and natural resources management, e.g. changes in species abundance. Searching the videos manually, however, requires costly human effort. Our ...
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- Proceedings of the 2nd ACM international workshop on Multimedia analysis for ecological data