Robust QoE-aware prediction-based dynamic content adaptation framework applied to slides documents in mobile Web conferencing

Louafi, Habib; Coulombe, Stéphane; Chandra, Umesh

doi:10.1007/s11042-014-2030-2

Cited by 2 publications

(2 citation statements)

References 23 publications

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“…Advanced mechanisms might be used after all the tries of adapting of the spatial specification. Some mechanisms to refine a specification further including and not limited to: temporal decomposition, hypermedia decomposition as if the specification is split into two or more slides where every slide matches the spatial requirements [31].…”

Section: Definitionmentioning

confidence: 99%

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Spatial reasoning about multimedia document for a profile based adaptation

Belhadad

Refoufi

Roose³

2018

Multimed Tools Appl

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Your article is protected by copyright and all rights are held exclusively by Springer Science+Business Media, LLC, part of Springer Nature. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to selfarchive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com".Abstract The continuous evolution of smart devices has led to serious limitations in multimedia applications. The multimedia graphic design and animation and the increased use of rich and complex multimedia content on the web or other media have all created a need to diversify the accessibility of the content. Therefore several techniques are used today to design a universally accessible content. The main techniques that are still used to maintain accessibility is to create two parallel streams of design and development of the same content. Thus, the continuous evolution will certainly lead to create other streams. For this, the automatic reasoning on multimedia to allow a computer to modify the design according to different variables, devices capabilities, user status and context to provide personalized adapted content. In this paper, we propose an abstract document model called XMS short for XML Multimedia Specification; it describes the composition of an original multimedia document and can be extended to any document type. We present how we may use spatial information present in this document to adapt and modify the original document. We mainly focus on the spatial aspect of a web document, a combination of RCC8, qualitative distances, and directions are used to describe the layout of a set of objects. The level of granularity of the definition of the objects defines the level of details that will be processed by our PROLOG based inference system, simplified versions of algorithms from the inference system and how it works on the spatial dimension of the document are shown. In the end samples of how spatial relations manipulation algorithms work are illustrated.

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Section: Definitionmentioning

confidence: 99%

“…In this wide evolutionary environment, multimedia design and publishing services struggle to create a universally accessible multimedia (UMA: Universal multimedia access) [7,40,41]. Several works tackle this issue using different approaches; the main used approach is to maintain alternatives such as for mobile devices [1,3,31,36,43].…”

Section: Introductionmentioning

confidence: 99%

Spatial reasoning about multimedia document for a profile based adaptation

Belhadad

Refoufi

Roose³

2018

Multimed Tools Appl

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A TOPSIS-based QoE model for adapted content selection of slide documents

Louafi

Coulombe

Cheriet

2018

Multimed Tools Appl

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In certain platforms, such as Google Docs, documents are adapted for specific mobile device types, and the installation of their applications is required. Although the documents can be accessed via Web browsers, their correctness is not guaranteed. In content selection, the document is adapted into various versions, from which the optimal one, based on a quality of experience (QoE) criterion, is delivered. Existing works evaluate the QoE of each content version using the user's preferences and context parameters, such as device resolution and network bitrate. They ask the user to weight the context parameters, and then combine them using the simpleadditive-weighting (SAW) method. However, not all users are familiar with the context parameters, and cannot understand their relationship with the requested content. Besides, not all parameters are compensatory to be summed up. In this paper, we propose a TOPSIS-based QoE model to address the two aforementioned drawbacks. We use the context parameters to define high-level functions understandable by all users, and combine them using the TOPSIS method. Experimental results show the convenience of our QoE model and its reliability over the SAW-based method, as well as the weighting-product (WP) method, which is used as an alternative to the SAW one.

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Robust QoE-aware prediction-based dynamic content adaptation framework applied to slides documents in mobile Web conferencing

Cited by 2 publications

References 23 publications

Spatial reasoning about multimedia document for a profile based adaptation

Spatial reasoning about multimedia document for a profile based adaptation

A TOPSIS-based QoE model for adapted content selection of slide documents

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