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The role of turbulence is critical in the redistribution of heat and salt throughout the global ocean, and in boundary currents of the high-latitude oceans in particular. In the Arctic Ocean, warm, saline waters of Atlantic origin, which are carried northwards by the West Spitsbergen Current (WSC), are the largest source of oceanic heat carried into the Arctic Eurasian basin, and may have a significant...
Freshwater outflows from estuarine systems carry nutrients, sediments, larvae and other materials into the coastal ocean where they mix into ambient ocean water. Loch Etive is one such estuary on the west coast of Scotland that is fed by a large rainfall catchment area, and from which the outflow is strongly modulated on a tidal basis. Freshwater leaves the loch on the ebbing tide in a pulse released...
In this paper, we propose a novel method inspired by the bio-informatics domain to parse a rushes video into scenes and takes. The Smith-Waterman algorithm provides an efficient way to compare sequences by comparing segments of all possible lengths and optimizing the similarity measure. We propose to adapt this method in order to detect repetitive sequences in rushes video. Based on the alignments...
During the last years, the development of rushes video summarization systems has greatly increased thanks to the international evaluation campaign TRECVID. In this paper, we propose an automation of the manual TRECVID evaluation using machine learning techniques. We train an automatic assessor to perform evaluation on summary content and we show a high correlation between the manual evaluation performed...
Video summarization is a useful tool which allows a user to grasp rapidly the essence of a video. In the development of this research topic we propose a new method based on different individual content segmentation and selection tools in a collaborative system. The main innovation of this work is to merge results from different approaches, so as to benefit from their respective qualities. Our system...
Evaluation remains an important difficulty in the development of video summarization systems. Rigorous evaluation of video summaries generated by automatic systems is a complicated process because the ground truth is often difficult to define, and even when it exists, it is difficult to match with the obtain results. The TRECVID BBC evaluation campaign has recently introduced a rushes summarization...
In this paper, we propose a novel approach to summarize rushes. Our processing is composed of several steps. First, we remove unusable content and we dynamically accelerate video according to motion activity to maximize the content per time unit. Then, one-second video segments are clustered into similarity clusters. The most important nonredundant pieces of shot are selected such that they maximize...
In the framework of the French Research Action For Secure Driving (ARCOS) project, we developed a system that uses in-vehicle charge-coupled device (CCD) cameras, aiming to estimate the visibility distance in adverse weather conditions, particularly fog situations. The topic of this paper is the validation of the system. First, we present Koschmieder's model of apparent luminance of objects observed...
This paper presents an original approach to video shot retrieval, which is an adaptation of the common text-based paradigm. The idea of our approach is to describe images using a small number of visual elements chosen in a visual dictionary. The user may select some elements from the visual dictionary to compose a query and search for specific video shots. In our approach, we automatically compute...
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