It is our great pleasure to welcome you to the 1st ACM International Workshop on Multimedia Analysis for Ecological Data (MAED'12) held within ACM Multimedia 2012, in Nara, Japan.
MAED'12 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 6 long and 6 short papers covering a variety of topics: Animal identification and behaviour understanding by mining image and video data; plant identification and classification on still images; classification and characterization of environmental habitats; multimedia data processing for pollution monitoring and ecological multimedia data retrieval.
In addition, Prof. Alan Smeaton from the School of Computing of Dublin City University delivers the workshop's keynote entitled "Multimedia Challenges in Sensing the Environment".
Proceeding Downloads
Grass, scrub, trees and random forest
Habitat classification is important for monitoring the environment and biodiversity. Currently, this is done manually by human surveyors, a laborious, expensive and subjective process. We have developed a new computer habitat classification method based ...
Visibility cameras: where and how to look
This paper investigates image processing and pattern recognition techniques to estimate light extinction based on the visual content of images from static cameras. We propose two predictive models that incorporate multiple scene regions into the ...
Environmental data extraction from multimedia resources
- Anastasia Moumtzidou,
- Victor Epitropou,
- Stefanos Vrochidis,
- Sascha Voth,
- Anastasios Bassoukos,
- Kostas Karatzas,
- Jürgen Moßgraber,
- Ioannis Kompatsiaris,
- Ari Karppinen,
- Jaakko Kukkonen
Extraction and analysis of environmental information is very important, since it strongly affects everyday life. Nowadays there are already many free services providing environmental information in several formats including multimedia (e.g. map images). ...
Identification of great apes using gabor features and locality preserving projections
In the ongoing biodiversity crisis many species, particularly primates like chimpanzees for instance are threatened and need to be protected. Often, autonomous monitoring techniques using remote camera devices are used to estimate the remaining ...
Texture recognition for frog identification
This paper describes a visual processing technique for automatic frog (Xenopus Laevis sp.) localization and identification. The problem of frog identification is to process and classify an unknown frog image to determine the identity which is recorded ...
Event detection in underwater domain by exploiting fish trajectory clustering
In this paper we propose a clustering-based approach for the analysis of fish trajectories in real-life unconstrained underwater videos, with the purpose of detecting behavioural events; in such a context, both video quality limitations and the motion ...
Plant leaves morphological categorization with shared nearest neighbours clustering
This paper presents an original experiment aimed at evaluating if state-of-the-art visual clustering techniques are able to automatically recover morphological classifications built by the botanists themselves. The clustering phase is based on a recent ...
Multi-organ plant identification
- Hervé Goëau,
- Pierre Bonnet,
- Julien Barbe,
- Vera Bakic,
- Alexis Joly,
- Jean-François Molino,
- Daniel Barthelemy,
- Nozha Boujemaa
This paper presents a new interactive web application for the visual identification of plants based on collaborative pictures. Contrary to previous content-based identification methods and systems developed for plants that mainly relied on leaves, or in ...
Semantic based retrieval system of arctic animal images
In this paper we propose a semantic based image retrieval system in the domain of arctic animals. The proposed system exploits a semantic engine capable of adapting the processing steps both to the users' need and to the arctic image domain. This ...
An environmental search engine based on interactive visual classification
- Stefanos Vrochidis,
- Harald Bosch,
- Anastasia Moumtzidou,
- Florian Heimerl,
- Thomas Ertl,
- Ioannis Kompatsiaris
Environmental conditions play a very important role in human life. Nowadays, environmental data and measurements are freely made available through dedicated web sites, services and portals. This work deals with the problem of discovering such web ...
A visual sensing platform for creating a smarter multi-modal marine monitoring network
Demands from various scientific and management communities along with legislative requirements at national and international levels have led to a need for innovative research into large-scale, low-cost, reliable monitoring of our marine and freshwater ...
Quantitative performance analysis of object detection algorithms on underwater video footage
Object detection in underwater unconstrained environments is useful in domains like marine biology and geology, where the scientists need to study fish populations, underwater geological events etc. However, in literature, very little can be found ...
- Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data