Special issue on multimedia in ecology

Concetto Spampinato, Vasileios Mezaris, Jacco van Ossenbruggen
2016 Multimedia Systems  
of the living organisms (insects, animals, etc.) that are part of it. This special issue aims at supporting this goal by reporting a shortlist of the most recent methods for processing, annotating, retrieving, and visualising ecological data and its analysis: • Tian et al. in "Motion analytics of zebrafish using fine motor kinematics and multi-view trajectory" present an automatic method for zebrafish motion analytics with the objective to distinguish behavior between wild-type (normal) and
more » ... sgenic zebrafish. In particular, the proposed framework first extracts the quantitative measurements of motor movement using a high-frame rate camera (up to 1000 frames per second). These motion cues are then used by a linear SVM classifier to identify abnormal zebrafish trajectories with an accuracy, expressed as average recognition rate, of about 80 %. • Palazzo et al. in "A diversity-based search approach to support annotation of a large fish image data set" propose an image retrieval approach able to reduce significantly near-duplicates when querying large data sets. More specifically, the authors present a method which favors the retrieval of as many different views of the query image as possible. It relies on a diversity-based clustering technique using a random-forest framework combined to a label propagation approach able to efficiently retrieve images at large scale. The method, tested on a very large data set of fish images, reached the promising performance in image retrieval, ensuring diversification of the annotated items while preserving precision. • Beauxis-Aussalet et al. in "Uncertainty-aware estimation of population abundance using machine learning" propose a method able to improve fish image classification accuracy using limited ground-truth. Furthermore, 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. This has resulted 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 organisation, browsing, retrieval, and visualisation tools. It has also generated new possibilities for exploiting multimedia data in diverse and specialised applications that can significantly gain from the analysis and understanding of such data, such as ecology. Indeed, recently we have witnessed the proliferation of ecology-related multimedia content, e.g., many Terabytes of data (videos, images, and audio recordings) for monitoring forest animals and marine organisms, plants, etc., have been recorded. The automated analysis of such multimedia data poses new challenges, and the results of such analyses are of great interest to investigators, such as biologists, in their strive towards monitoring and analysing the natural environment, promoting its preservation, and understanding the behavior and interactions * Concetto Spampinato
doi:10.1007/s00530-016-0528-3 fatcat:w3jy6lazrbgvtfcy7qss2r4h4i