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Abstract-The aim of this paper is to introduce and present the main drivers and basic concepts for SLA management. We discuss the business requirements according to two points of view: the Customer and the Service Provider, and we go into more detail on the technical requirements for both the SLA contract itself and the SLA Management system. Finally, we give an overview of SLA management open issues in the industrial and research community.

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Abstract. This paper shows a concrete example of the use of graph mining for tracking objects in videos with moving cameras and without any contextual information on the objects to track. To make the mining algorithm efficient, we benefit from a video representation based on dynamic (evolving through time) planar graphs. We then define a number of constraints to efficiently find our so-called spatio-temporal graph patterns. Those patterns are linked through an occurrences graph to allow us to tackle occlusion or graph features instability problems in the video. Experiments on synthetic and real videos show that our method is effective and allows us to find relevant patterns for our tracking application.

In the context of immersive communications that aim to enable natural experiences and interactions among people, objects, and the environment, we propose a method to enable natural video interactions through hand gesture recognition between users and a video meeting system. An end‐to‐end study was performed: we started with the development of specific gesture recognition algorithms and concluded with a user evaluation to validate our results. Gestures and their associated functionalities were identified via a user survey which focused on distinguishing two concepts which are often confused: hand posture and hand gesture (i.e., static versus dynamic). Our recognition process was composed of two main tasks: hand posture recognition (i.e., skin segmentation, background subtraction, region combination, feature extraction, and classification) and hand gesture recognition (tracking and recognition). Our approach combined a signal similarity study with a data‐mining tool for dynamic gesture recognition. We focused on the experimentation and user evaluation to improve our approach, taking into account user feedback and analyzing performance in different environments and for different users. © 2013 Alcatel‐Lucent.