2010 7th IEEE Consumer Communications and Networking Conference 2010
DOI: 10.1109/ccnc.2010.5421599
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neXtream: A Multi-Device, Social Approach to Video Content Consumption

Abstract: Video content has become available on an increasingly diverse set of devices and from an ever growing number of sources, creating a vast amount of choice for viewers. At the same time, the varying methods of viewing, interacting with, and sharing content have diverged. This paper introduces neXtream, a new approach to delivering video by integrating multiple devices, content sources, and social networks. This concept is developed following research in social television and converged applications, providing bot… Show more

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Cited by 14 publications
(7 citation statements)
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“…In social TV, Martin et al [7] presented a new video delivery system in social environment by integrating multiple devices such as a TV, PC, and smartphone. With their approach, after an IPTV user's request for content adaptation, the process of content reproduction starts.…”
Section: Related Workmentioning
confidence: 99%
“…In social TV, Martin et al [7] presented a new video delivery system in social environment by integrating multiple devices such as a TV, PC, and smartphone. With their approach, after an IPTV user's request for content adaptation, the process of content reproduction starts.…”
Section: Related Workmentioning
confidence: 99%
“…A number of efforts in this domain focus on resolving the time asynchrony issue (i.e., users watching the same TV show at divergent times). Example systems in this category include neXtream [5] and Col-laboraTV [6]. Other systems are primarily concerned with addressing the issues introduced by geographical dispersion (i.e., concurrent TV viewers that are separated by location).…”
Section: Social Tv Researchmentioning
confidence: 99%
“…Using the model put forth by neXtream [13], Newstream uses a top-down aggregation model, initially looking at the largest communities (e.g., YouTube, Google News), filtered by specific userdefined communities, social networks, and ultimately individual user preferences ( Figure 1). This aggregation model replaces the role of the traditional content curators with online communities.…”
Section: Content Aggregation and Social Filteringmentioning
confidence: 99%
“…In neXtream, we defined an algorithm to help determine the individual likelihood of "liking" a clip [13]. In Newstream, we expanded on this algorithm to incorporate an ability for preferences to change over time.…”
Section: Individual Preferencesmentioning
confidence: 99%
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