2014 Proceeding- General Chairs:
- Concetto Spampinato,
- Vasileios Mezaris,
- Marco Cristani
- Sponsor:
- sigmm
It is our great pleasure to welcome you to the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data (MAED'14) held within ACM Multimedia 2014, in Orlando, FL, USA.
MAED'14 brings together a cross-disciplinary crowd of people in order to investigate current and emerging topics in ecological multimedia data analysis. The workshop, in particular, outlines the state of the research and the most recent methods for the processing and interpretation of multimedia data recorded for monitoring ecological systems.
In total, the Program Committee accepted 6 papers (out of 11 submitted papers) covering methods for multimedia data processing with the goal to support researchers in their studies of diverse ecology-related problems, ranging from underwater monitoring to solar radiation investigation.
The workshop also features two keynote talks: 1) "Detection and Tracking in Crowds", delivered by Prof. Mubarak Shah from the University of Central Florida, and 2) "Toward Knowledge Driven Visual Recognition", delivered by Prof. Jia Deng from the University of Michigan.
Proceeding Downloads
Fish Species Recognition from Video using SVM Classifier
To build a detailed knowledge of the biodiversity, the geographical distribution and the evolution of the alive species is essential for a sustainable development and the preservation of this biodiversity. Massive databases of underwater video ...
Mountain Peak Identification in Visual Content Based on Coarse Digital Elevation Models
We present a method for the identification of mountain peaks in geo-tagged photos. The key tenet is to perform an edge-based matching between the visual content of each photo and a terrain view synthesized from a Digital Elevation Model (DEM). The ...
Fish Species Identification in Real-Life Underwater Images
Kernel descriptors consist in finite-dimensional vectors extracted from image patches and designed in such a way that the dot product approximates a nonlinear kernel, whose projection feature space would be high-dimensional. Recently, they have been ...
Crowd-sourcing Applied to Photograph-Based Automatic Habitat Classification
Habitat classification is a crucial activity for monitoring environmental biodiversity. To date, manual methods, which are laborious, time-consuming and expensive, remain the most successful alternative. Most automatic methods use remote-sensed imagery ...
A Typical Day Based Approach To Detrend Solar Radiation Time Series
In this paper we propose a technique for the identification of the deterministic hourly average component of solar radiation time series during a whole year, based on data measured at a given site of interest. The proposed technique is based on the ...
Are Species Identification Tools Biodiversity-friendly?
- Alexis Joly,
- Hervé Goëau,
- Pierre Bonnet,
- Concetto Spampinato,
- Hervé Glotin,
- Andreas Rauber,
- Willem-Pier Vellinga,
- Robert Fisher,
- Henning Müller
This paper discusses the results of the LifeCLEF 2014 multimedia identification challenges with regards to the requirements of real-world ecological surveillance systems. In particular, we study the identification performances of the evaluated systems ...
Index Terms
- Proceedings of the 3rd ACM International Workshop on Multimedia Analysis for Ecological Data