Harald Kosch

L&#225;szl&#243; B&#246;sz&#246;rm&#233;nyi

G&#252;nther H&#246;lbling

David Coquil

J&#246;rg Heuer

Personalization of Mobile Multimedia Broadcasting

The increasing amounts of media becoming available in converged
digital broadcast and mobile broadband networks will require intelligent interfaces capable of personalizing
the selection of content. Aiming to capture the mood in the content, we construct a semantic space based on tags,
frequently used to describe emotions associated with music in the last.fm social network. Implementing latent semantic analysis (LSA), we model the affective context of songs based on their lyrics, and apply a similar approach to extract
moods from BBC synopsis descriptions of TV episodes using TV-Anytime atmosphere terms. Based on our early results,
we propose that LSA could be implemented as machinelearning method to extract emotional context and model
affective user preferences.

Michael Kai Petersen

Andrius Butkus

Extracting Moods from Songs and BBC Programs Based on Emotional Context

This paper discusses adaptation policies for information systems
that are subject to dynamic and stochastic contexts such as mobile
access to multimedia web sites. In our approach, adaptation agents
apply sequential decisional policies under uncertainty. We focus on
the modeling of such decisional processes depending on whether the
context is fully or partially observable. Our case study is a movie
browsing service in a mobile environment that we model by using
Markov decision processes (MDPs) and partially observable MDP
(POMDP). We derive adaptation policies for this service, that take
into account the limited resources such as the network bandwidth. We
further refine these policies according to the partially observable
users&#39; interest level estimated from implicit feedback. Our
theoretical models are validated through numerous simulations.

Cezar Plesca

Vincent Charvillat

Romulus Grigoras

Adapting Content Delivery to Limited Resources and Inferred User Interest

One possibility to provide mobile multimedia in domestic multimedia systems is the use of Universal Plug and Play Audio Visual (UPnP-AV) devices. In a standard UPnP-AV scenario, multimedia content provided by a Media Server device is streamed to Media Renderer devices by the initiation of a Control Point. However, there is no provisioning of context-aware multimedia content customization. This paper presents an enhancement of standard UPnP-AV services for home multimedia environments regarding context awareness. It comes up with context profile definitions, shows how this context information can be queried from the Media Renderers, and illustrates how a Control Point can use this information to tailor a media stream from the Media Server to one or more Media Renderers. Moreover, since a standard Control Point implementation only queries one Media Server at a time, there is no global view on the content of all Media Servers in the UPnP-AV network. This paper also presents an approach of multimedia content integration on the Media Server side that provides fast search for content on the network. Finally, a number of performance measurements show the overhead costs of our enhancements to UPnP-AV in order to achieve the benefits.

Roland Tusch

Michael Jakab

Julius Köpke

Armin Krätschmer

Michael Kropfberger

Sigrid Kuchler

Michael Ofner

Hermann Hellwagner

Laszlo Böszörmenyi

Context-Aware UPnP-AV Services for Adaptive Home Multimedia Systems

In this paper, a novel scheme to watermark biometric
images is proposed. It exploits the fact that biometric
images, normally, have one region of interest, which represents
the relevant part of information processable by most of the
biometric-based identification/authentication systems. This proposed
scheme consists of embedding the watermark into the
region of interest only; thus, preserving the hidden data from
the segmentation process that removes the useless background
and keeps the region of interest unaltered; a process which can
be used by an attacker as a cropping attack. Also, it provides
more robustness and better imperceptibility of the embedded
watermark. The proposed scheme is introduced into the optimum
watermark detection in order to improve its performance. It is
applied to fingerprint images, one of the most widely used and
studied biometric data. The watermarking is assessed in two
well-known transform domains: the discrete wavelet transform
(DWT) and the discrete Fourier transform (DFT). The results
obtained are very attractive and clearly show significant improvements
when compared to the standard technique, which
operates on the whole image. The results also reveal that the
segmentation (cropping) attack does not affect the performance
of the proposed technique, which also shows more robustness
against other common attacks.

K. Zebbiche

F. Khelifi

Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images

Subjective quality evaluation is widely used to optimize system performance as a part of end-products. It is often desirable to know whether a certain system performance is acceptable, that is, whether the system reaches the minimum level to satisfy user expectations and needs. The goal of this paper is to examine research methods for assessing overall acceptance of quality in subjective quality evaluation methods. We conducted three experiments to develop our methodology and test its validity under heterogeneous stimuli in the context of mobile television. The first experiment examined the possibilities of using a simplified continuous assessment method for assessing overall acceptability. The second experiment explored the boundary between acceptable and unacceptable quality when the stimuli had clearly detectable differences.  The third experiment compared the perceived quality impacts of small differences between the stimuli close to the threshold of acceptability. On the basis of our results, we recommend using a bidimensional retrospective measure combining acceptance and satisfaction in consumer-/user-oriented quality evaluation experiments.

S. Jumisko-Pyykkö

V. K. Malamal Vadakital

M. M. Hannuksela

Acceptance Threshold: A Bidimensional Research Method for User-Oriented Quality Evaluation Studies

This paper presents a distributed client-server architecture for the personalized delivery of textual news content to mobile users. The user profile consists of two separate models, that is, the long-term interests are stored in a skeleton profile on the server and the short-term interests in a detailed profile in the handset. The user profile enables a high-level filtering of available news content on the server, followed by matching of detailed user preferences in the handset. The highest rated items are recommended to the user, by employing an efficient ranking process. The paper focuses on a two-level learning process, which is employed on the client side in order to automatically update both user profile models. It involves the use of machine learning algorithms applied to the implicit and explicit user feedback. The system's learning performance has been systematically evaluated based on data collected from regular system users.

Maria Papadogiorgaki

Vasileios Papastathis

Evangelia Nidelkou

Simon Waddington

Ben Bratu

Myriam Ribiere

Ioannis Kompatsiaris

Two-Level Automatic Adaptation of a Distributed User Profile for Personalized News Content Delivery

Multimedia content adaptation has been proved to be an effective mechanism to mitigate the problem of devices and networks heterogeneity and constraints in pervasive computing environments. Moreover, it enables to deliver data taking into consideration the user's preferences and the context of his/her environment. In this paper, we present an algorithm for service composition and protocols for executing service composition plan. Both the algorithm and the protocols are implemented in our distributed content adaptation framework (DCAF) which provides a service-based content adaptation architecture. Finally, a performance evaluation of the algorithm and the protocols is presented.

Yaser Fawaz

Girma Berhe

Lionel Brunie

Vasile-Marian Scuturici

Efficient Execution of Service Composition for Content Adaptation in Pervasive Computing

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International Journal of Digital Multimedia Broadcasting provides a forum for engineers and researchers whose interests are in digital multimedia broadcasting to share recent developments and challenges in order to design new and improved systems.

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International Journal of Digital Multimedia Broadcasting | Hindawi

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International Journal of Digital Multimedia Broadcasting provides a forum for engineers and researchers whose interests are in digital multimedia broadcasting to share recent developments and challenges in order to design new and improved systems.

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International Journal of Digital Multimedia Broadcasting

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This Issue is now open for submissions.
Papers are published upon acceptance, regardless of the Special Issue publication date.

International Journal of Digital Multimedia Broadcasting

Personalization of Mobile Multimedia Broadcasting

Personalization of Mobile Multimedia Broadcasting

Articles

Personalization of Mobile Multimedia Broadcasting

Extracting Moods from Songs and BBC Programs Based on Emotional Context

Adapting Content Delivery to Limited Resources and Inferred User Interest

Context-Aware UPnP-AV Services for Adaptive Home Multimedia Systems

Region-Based Watermarking of Biometric Images: Case Study in Fingerprint Images

Acceptance Threshold: A Bidimensional Research Method for User-Oriented Quality Evaluation Studies

Two-Level Automatic Adaptation of a Distributed User Profile for Personalized News Content Delivery

Efficient Execution of Service Composition for Content Adaptation in Pervasive Computing