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The exponential growth of audiovisual and textual data is aggressively leading to the creation of tools and systems capable of selecting and recognizing given patterns of information. Such urge is at the basis of the development of machine learning techniques, techniques that are today employed to analyze all kinds of information. Computer gaming is, with no doubt, one of the fields where such techniques...
Museums and similar institutions are historically locations where content is typically only intellectually appreciated following linear visiting patterns. No interactions, in fact, are typically implemented and no possible choice is drawn in front of a visitor regarding the exhibits that will be shown. In addition, exhibition experiences are typically confined within their buildings' walls, not projecting...
The opportunities laid by the joint use of Peer-to-Peer (P2P) streaming systems and advanced Digital Fountain (DF) codes in the context of Internet Protocol TeleVision (IPTV) platforms have set high expectations for their combined use. P2P streaming strategies, on one hand, have proven to be able to increase the bandwidth efficiency and the consequent scalability of IPTV platforms. DFs, on the other,...
As the technology available on cars is increasing, a wide range of applications, from safety to entertainment, are becoming available for this scenario. Many of these applications involve interactive multihop broadcast of messages over a certain area-of-interest. To this aim, specific solutions have been proposed to deal with the high mobility and density of a vehicular network scenario. In particular,...
Detecting cheaters in peer-to-peer multiplayer online games (MOGs) may be more effective than avoiding the cheats. This is particularly true for fast paced, real-time MOGs, since the classic approaches to prevent time cheats usually complicate the communication protocols among peers. This results in a loss of responsiveness among players during the game session. We present a cheating detection scheme,...
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