Spanning a multimedia session across multiple devices

Tuijn, Jasper Aartse; Bijwaard, Dennis

doi:10.1002/bltj.20275

Cited by 5 publications

(5 citation statements)

References 10 publications

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“…Progress has been made in the Freeband 4Gplus project [40] and IST-Daidalos project [3,4]. A network-initiated method for splitting multimedia sessions is described in [2]. In [47] an approach is described for efficient personalized sharing of multimedia streams.…”

Section: Mobility and Sharing Of Multimedia Sessionsmentioning

confidence: 99%

Challenges in Efficient Realtime Mobile Sharing

Bijwaard¹,

Eertink

Havinga

2013

Internet of Things and Inter-Cooperative Computational Technologies for Collective Intelligence

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Future applications are envisioned to be adaptive to various changes in network, environment and situation. These so-called pervasive applications will be composed from both locally and globally available multimedia resources such as audio and video, web services and context sources. The rapidly increasing pervasiveness in todays networks, i.e. the number of mobile devices, the amount of data they generate and share (near) realtime increases rapidly. In fact this forms the basis for research efforts on the Internet of Things. The increased pervasiveness leads to numerous efficiency and scalability challenges. This chapter will detail the state of the art and binding concepts for efficient realtime sharing and mobility of multimedia and context. Additionally, it lists the associated challenges and their progress in a number of research projects.In the past decade we have seen a number of technology boosts. Multimedia like audio and video moved from analogue to digital, enabling free audio/video calls over the Internet. Multiple network types have been integrated into mobile devices and bandwidth is gradually increasing. Sensors became wireless and form wireless sensor networks for environmental monitoring, and multiple sensors are added to mobile devices enabling different interaction modalities and situation awareness, The number of mobile devices and their capabilities are gradually increasing, and server clouds have been created that offer remote processing and storage.

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Section: Mobility and Sharing Of Multimedia Sessionsmentioning

confidence: 99%

Challenges in Efficient Realtime Mobile Sharing

Bijwaard¹,

Eertink

Havinga

2013

Internet of Things and Inter-Cooperative Computational Technologies for Collective Intelligence

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“…However, our approach is very similar to the application layer approach; it is specific to real-time communication services. There are four kinds of mobility (personal mobility [7], terminal mobility, service mobility [8] and session mobility) discussed in the literature [5]. Our work closely involves personal mobility and session mobility.…”

Section: Related Work and Solutionmentioning

confidence: 99%

“…Session transfer across multiple devices can be performed in two ways: partial session mobility [8] and complete session mobility. "Transferring parts of a multimedia session (e.g.…”

Section: Related Work and Solutionmentioning

confidence: 99%

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User mobility in a Web-based communication system

Shanmugalingam

Crespi

Labrogere³

2010

2010 IEEE 4th International Conference on Internet Multimedia Services Architecture and Application

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To support user mobility across different devices, communication session continuity should be enabled at session initiation and during a session. The session continuity can be managed by either a user or dedicated network nodes such as back-to-back user agent (B2BUA) in IP Multimedia Subsystem (IMS) architecture. When network manages the session continuity, user experience is enriched because users do not need to know how to perform session transfer. However, in IMS architecture, three different network nodes (SIP forking proxy, SIP registrar and B2BUA) need to cooperate for session continuity. When single user (callee) logs in from different devices, it is very hard to achieve cooperation. In addition, these network nodes should be scalable when many users request this service simultaneously. This paper proposes a general architecture that supports the user mobility and how the general architecture can be realized into a Web-based communication system. Our initial analytical result shows that the usage of computing resources (e.g. CPU) is reduced while supporting scalability, thanks to the simple Web client service infrastructure and Web Socket connections on top of HTTP.

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“…• Changing a stream from unicast to Internet Protocol (IP) multicast, • Changing the transmission end point on a multihomed device (e.g., switching a stream from a UMTS interface to a WLAN interface on the device) [15], and • Changing the end point of transmission (e.g., from a mobile device to a wall display) [22].…”

Section: Sip Signaling Backgroundmentioning

confidence: 99%

Efficiency of personalized content distribution

Gaast¹,

Bijwaard²

2008

Bell Labs Tech. J.

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Services like telecommunication, messaging, radio/television broadcast, and Web browsing are increasingly using the same Internet Protocol (IP)-based transport technology. Converged IP next-generation networks (NGNs) will enable easier blending and personalization of those services. For popular content, technologies like caching, broadcasting, and multicasting aim to increase network efficiency but also introduce extra complexity and bandwidth overhead. Additionally, the sheer amount of available content and the increasing flexibility for the end user to request content at any time from any place make it increasingly difficult to determine content popularity in order to predict the efficiency of using content distribution techniques. This paper describes a model for wireless networks to use network characteristics and a prediction of the popularity distribution to calculate the optimal combination of unicast and broadcast techniques when offering a number of media channels to the end user. Furthermore, an approach is described to optimize personalized content distribution efficiency in converged IP NGN networks utilizing efficiency calculations with this model. © 2008 Alcatel-Lucent.commonly distributed content, i.e., television (TV) channels, with additional content aimed specifically at a particular user or user group. Such content may include overlay elements such as text, graphics, pictures, animations, or video clips, and additional or enhanced audio-and/or video-specific segments.Content distribution techniques mainly improve efficiency for "popular" content. However, personalization and an almost infinite choice of content make it difficult to determine content popularity at a specific moment in time. This paper describes a content distribution efficiency model for wireless networks and proposes a dynamic mechanism to provide efficient

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Spanning a multimedia session across multiple devices

Cited by 5 publications

References 10 publications

Challenges in Efficient Realtime Mobile Sharing

Challenges in Efficient Realtime Mobile Sharing

User mobility in a Web-based communication system

Efficiency of personalized content distribution

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