David Coquil

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This paper proposes to enhance search query log analysis by taking into account the semantic properties of query terms. We first describe a method for extracting a global semantic representation of a search query log and then show how we can use it to semantically extract the user interests. The global representation is composed of a taxonomy that organizes(More)
Multimedia content adaptation has been proved to be an effective mechanism to mitigate the problem of devices and networks heterogeneity and constraints in pervasive computing environments. Moreover, it enables to deliver data taking into consideration the user’s preferences and the context of his/her environment. In this paper, we present an algorithm for(More)
Until recently, issues in image retrieval have been handled in DBMSs and in computer vision as separate research works. Nowadays, the trend is towards integrating the two approaches (content- and metadata-based) for multi-criteria image retrieval. However, most existing works and proposals in this domain lack a formal framework to deal with a multi-criteria(More)
A vital prerequisite for fine-grained video content processing (indexing, querying, retrieval, adaptation, etc.) is the production of accurate metadata describing its structure and semantics. Several annotation tools were presented in the literature generating metadata at different granularities (i.e. scenes, shots, frames, objects). These tools have a(More)
Recently, the information community has seen the emergence of user-centric media applications, which are characterized by the central position given to the user. To fulfill the user-centric promise, it is necessary to understand and model the actions of the users of the system. This position paper presents a methodology for modeling the behavior of(More)
In recent years, publish/subscribe (pub/sub) systems have evolved as serious candidates for the implementation of multicast communication. However, to date they have not been properly analysed with respect to the critical dimension of robustness. Indeed, the robustness evaluations found in the literature only cover a subset of the types of failure(More)
Key points-based image matching algorithms have proven very successful in recent years. However, their execution time makes them unsuitable for online applications. Indeed, identifying similar key points requires comparing a large number of high dimensional descriptor vectors. Previous work has shown that matching could be still accurately performed when(More)
The delivery of videos to the increasing number of heterogeneous mobile devices over different types of networks necessitates video personalization. This task should be based on device and network capabilities as well as semantics of the video as perceived by the user. Personalization of videos based on semantic user preferences can be computationally(More)