With the recent progress in digital cameras and sensors, as well as in network bandwidth and information storage capacities, the production of multimedia data has become an easy task, resulting in a huge amount of multimedia available on the web, in broadcast data streams, or in personal and professional databases.
This explosion of multimedia data has created the urgent need for efficient organization, browsing and retrieval tools. It has also generated new possibilities for exploiting multimedia data in diverse and specialized applications that can significantly gain from the analysis and understanding of such data.
Whilst a large number of multimedia analysis and understanding techniques have been developed
specifically for investigating events and behaviors in human-centered applications, such as sports and surveillance, relatively little attention has been paid to the understanding of ecology-related multimedia content. Such content is created at an accelerating pace; for instance, the EcoGrid 1 project has collected many Terabytes of data (videos, images and audio recordings) of monitoring forest animals as well as fish by the coral reefs in Taiwan. The wide range of nest cams continuously capturing birds nests, but also variants filming wolf, badger, fox etc. are other important examples. Similarly, further multimedia data is continuously collected for applications that range from pollution monitoring to plant recognition and analysis, with the intended users of this data being both scientists and the general public (e.g. considering mobile-based plant recognition applications for amateurs).
The automated analysis of such diverse ecology-related multimedia data presents new challenges. The results of such analyses are of great interest to the public as well as domain experts. Examples of the latter include biologists working on understanding the natural environment, promoting its preservation, and studying the behavior and interactions of the living organisms (insects, animals, etc.) that are part of it.
This is the second edition of the successful MAED 2012 workshop , which was organized as part of ACM Multimedia 2012. ACM International Workshop on Multimedia Analysis for Ecological Data intends to bring together practitioners and researchers, both in multimedia, artificial intelligence, image processing, machine learning and in ecology, to share ideas and experiences in designing and implementing novel multimedia analysis techniques and tools for ecological multimedia content.