A Hybrid Recommender Strategy for Personalized Utility-Based Cross-Modal Multimedia Adaptation

Prangl, Martin; Bachlechner, R.; Hellwagner, Hermann

doi:10.1109/icme.2007.4284998

Cited by 7 publications

(8 citation statements)

References 5 publications

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“…Some hybrid mobile multimedia recommender systems such as [108]- [110] can be further improved with standard contextual incorporation and other relevant and appropriate techniques. In cases where a user doesn't get good recommendations through a mobile multimedia hybrid recommender system, additional algorithms for such systems should be developed to satisfy user's recommendation requests through relevant and appropriate techniques.…”

Section: ) Intelligent User Interfaces and Improving Hybrid Recommenmentioning

confidence: 99%

Mobile Multimedia Recommendation in Smart Communities: A Survey

et al. 2013

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Section: ) Intelligent User Interfaces and Improving Hybrid Recommenmentioning

confidence: 99%

Mobile Multimedia Recommendation in Smart Communities: A Survey

et al. 2013

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“…Its task is to select the optimum adaptation parameters for the content adaptation such that the given bandwidth limit is not exceeded, the terminal capabilities (available codecs, spatial resolution, ...) are fulfilled, and the user experience is maximized. In order to achieve this target, a hybrid recommender system [2] is invoked to configure our cross-modal utility model [1]. Based on the individually configured utility model, the ADTE is calculating the optimum adaptation parameters based on optimization algorithms presented in [4].…”

Section: Adaptation Decision Taking Engine (Adte)mentioning

confidence: 99%

“…Note that the lossless TCP connection avoids content degradation by the delivery process and consequently ensures reliable feedback data. For more information about the proposed recommendation technique and the user friendly feedback mechanism the reader is referred to [2].…”

Section: Delivery Module (Dm)mentioning

confidence: 99%

“…is of central relevance and needs to be addressed. The basis of our answer forms the development of a generic cross-modal utility model presented in [1] and a hybrid recommender system, which tries to configure the utility model optimally for the individual user, presented in [2]. We integrated these approaches into a powerful multimedia framework which we call Personal Live Video Server (PLVS).…”

Section: Introductionmentioning

confidence: 99%

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A Framework for Personalized Utility-Aware IP-Based Multimedia Consumption

Prangl

Hellwagner

2007

2007 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks

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Providing transparent and augmented use of multimedia content across a wide range of networks and devices is still a challenging task within the multimedia research community. Multimedia adaptation was figured out as a core concept to overcome this issue. Most multimedia adaptation engines for providing Universal Multimedia Access (UMA) scale the content under consideration of terminal capabilities and resource constraints but do not really consider individual user preferences. This paper introduces an adaptive multimedia framework which offers the user a personalized content variation for satisfying his/her individual utility preferences.

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“…The initial adaptation decision for the specific request is assumed to be given (by the URL). For more information about the adaptation decision taking process, the reader is referred to [10].…”

Section: Increasing Qos Of Tcp-based Media Sessionsmentioning

confidence: 99%

Towards QoS Improvements of TCP-Based Media Delivery

Prangl

Kofler

Hellwagner

2008

Fourth International Conference on Networking and Services (Icns 2008)

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Abstract-The amount of audiovisual data available on the Internet and thus of multimedia communication over today's networks is increasing at a rapid pace. Despite the availability of specific media transport protocols like RTP, most content providers make use of the well-established and reliable TCP protocol to deliver audiovisual content over the Internet. The reason is that TCP-based data delivery in general is much less complicated for the clients to be served and over today's networks traversed (including proxies and firewalls), than making use of UDP-based RTP connections. However, in case of network bandwidth fluctuations and packet losses, TCP-based media delivery may lead to annoying jerky playback at the client side, due to retransmissions and late arrival of media data. This papers deals with TCP-based perceptual QoS improvement mechanisms for increasing the media experience for the consumer under unstable network conditions. Our approach is based on media content adaptation (transcoding) to fit the actual network bandwidth continuously monitored by the sender. The proposed mechanisms are applied at the application level at the server side, leaving the existing TCP implementation untouched and therefore enabling transparent use of existing media players. An evaluation of a realistic use case is presented which underlines the efficacy of our approach.

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A Hybrid Recommender Strategy for Personalized Utility-Based Cross-Modal Multimedia Adaptation

Cited by 7 publications

References 5 publications

Mobile Multimedia Recommendation in Smart Communities: A Survey

Mobile Multimedia Recommendation in Smart Communities: A Survey

A Framework for Personalized Utility-Aware IP-Based Multimedia Consumption

Towards QoS Improvements of TCP-Based Media Delivery

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