AdaMS: An Adaptation Multimedia System for Heterogeneous Environments

Bouyakoub, Fayçal M'hamed; Belkhir, Abdelkader

doi:10.1109/ntms.2008.ecp.15

Cited by 12 publications

(11 citation statements)

References 4 publications

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“…Our adaptation platform is named AdaMS [10] for Adaptation Multimedia System for heterogeneous environments. AdaMS adapts complex multimedia contents in SMIL [11] format (Synchronized Multimedia Integration Language) allowing clients using heterogeneous machines to reach the various contents of the server.…”

Section: An Overview Of Our Adaptation Systemmentioning

confidence: 99%

Automatic Generation of User's Profiles for Location-Based Adaptation of Multimedia Documents

Bouyakoub

Belkhir

2008

2008 IEEE International Performance, Computing and Communications Conference

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This paper presents an extension of a multimedia adaptation platform. The extension consists, in one hand, on the integration of UMTS users and the use of a new method for the recuperation of their profiles using IVR system, and on the other hand, introducing the user localization as a new element in the management of user's profiles for the adaptation platform.400 978-1-4244-3367-4/08/$25.00 ©2008 IEEE

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Section: An Overview Of Our Adaptation Systemmentioning

confidence: 99%

Automatic Generation of User's Profiles for Location-Based Adaptation of Multimedia Documents

Bouyakoub

Belkhir

2008

2008 IEEE International Performance, Computing and Communications Conference

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“…Also access platforms changed, with new networks, e.g., broadband Wi-Fi. All this evolution created heterogeneous environments, in which users with different profiles want to access content through many types of devices and networks [3]. Thus, challenges arose in data management, because usually when a device accesses content for which it wasn't designed, the user experience is poor [14].…”

Section: Introductionmentioning

confidence: 99%

“…Due to advances in the Web, people can choose different navigation paths, exploring much available information, including multimedia. Examples of this kind of service are YouTube 1 , Netflix 2 and Last.fm 3 . It is also important to note that currently users not only access contents as actively produce them.…”

Section: Introductionmentioning

confidence: 99%

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Video shot representation based on histograms

Souza

Goularte

2013

Proceedings of the 28th Annual ACM Symposium on Applied Computing

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The Content Personalization area, in digital videos domain, makes use of segmentation techniques to facilitate the processing of large data amounts while performing services as content selection or recommendation. Current researches have been directed to scene segmentation, which is based on clustering related shots. In this context, it is relevant to properly characterize shots using descriptors, because a good shot descriptor has potential to contribute to the improving of scene segmentation techniques already developed and, consequently, improve Content Personalization services. Our work aims to evaluate descriptors based on histograms for shot characterization. We present comparative results of scene segmentation by shot clustering using two approaches for shot representation: key frame and average histogram. The experiments were performed in two video domains: movies and television news. The results show that there aren't significant advantages between the approaches investigated and that they don't present good performance in assisting to identify scenes, showing the need of more research on new methods on shot representation.

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“…education, health). This situation hinders the application of these tools in other scenarios [9][14] [15]. Moreover, these tools do not consider the nomad characteristics of the user (mobility and display problems) [10].…”

Section: Introductionmentioning

confidence: 99%

Adaptation for enriching services taking into account mobile contextual features

Arias-Baez

Torres-Ribero

Carrillo-Ramos

et al. 2011

Proceedings of the 9th International Conference on Advances in Mobile Computing and Multimedia

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One of the current challenges in information technology is to provide instant access to relevant information, without being limited by the location of the user or the device used to retrieve it. Current technologies allow users to access an overwhelming amount of data. This is an undesirable situation, since it is very difficult for users to obtain relevant information from these data. Enriching the user experience, which means, adding criteria such as user preferences and characteristics of his/her mobile context of use (e.g., location, access device features), can solve the aforementioned problem, since the information can be better adjusted to user needs and space-time situation, reducing the volume of information received by the user and avoiding information overloading. This paper presents an approach to enrich the user experience called Agents for Enrichment Services (AES), an adaptation framework based on agents that provides users with information tailored to their specific needs, features, devices, and context, with the purpose of giving relevant information at the right moment, place, and device.

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AdaMS: An Adaptation Multimedia System for Heterogeneous Environments

Cited by 12 publications

References 4 publications

Automatic Generation of User's Profiles for Location-Based Adaptation of Multimedia Documents

Automatic Generation of User's Profiles for Location-Based Adaptation of Multimedia Documents

Video shot representation based on histograms

Adaptation for enriching services taking into account mobile contextual features

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