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Spherical Clustering of Users Navigating 360° Content

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The large-scale adoption of the Web 2.0 paradigm has revolutionized the way we interact with the Web today. End-users, so far mainly passive consumers of information are now becoming active information producers, creating, uploading, and commenting on all ...

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Augmenting Face-to-Face Collaboration with Low-Resolution Semi-Ambient Feedback

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Conversations are a daily human activity, and a crucial part of face-to-face collaboration in virtually any context. It is also a highly engaging activity that requires the full attention of participants involved in it. This is why computers have generally ...

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The size of digital libraries is increasing, making navigation and access to information more challenging. Improving the system by observing the users’ activities can help at providing better services to users of very large digital libraries. In this paper ...

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A Clustering Method Based on Soft Learning of Model (Prototype) and Dissimilarity Metrics

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In this paper, we propose a dynamic attentive system for detecting the most salient regions of interest in omnidirectional video. The spot selection is based on computer modeling of dynamic visual attention. In order to operate on video sequences, the proc ...

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The amount of multimedia content available online constantly increases, and this leads to problems for users who search for content or similar communities. Users in Flickr often self-organize in user communities through Flickr Groups. These groups are part ...

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In this paper, we assume that the network resources are managed by several brokers, which are endowed with resources by a (remote) central resource manager according to several predetermined policies. Our focus is on autonomous multimedia users. We propose ...

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As online stores are offering an almost unlimited shelf space, users must increasingly rely on product search and recommender systems to find their most preferred products and decide which item is the truly best one to buy. However, much research work has ...

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Visual Attention on the Sphere

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Human visual system makes an extensive use of visual attention in order to select the most relevant information and speed-up the vision process. Inspired by visual attention, several computer models have been developped and many computer vision application ...

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