Semantics for intelligent delivery of multimedia content

Bilasco, Ioan Marius; Amir, Samir; Blandin, P.; Djeraba, Chabane; Laitakari, Juhani; Martinet, Jean; Graciá, Eduardo Martínez; Pakkala, Daniel; Rautiainen, Mika; Ylianttila, Mika; Zhou, Jiehan

doi:10.1145/1774088.1774381

Cited by 13 publications

(9 citation statements)

References 9 publications

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“…The system has been tested using several metadata standards (MPEG-7, MPEG-21, EXIF, MIX, DIG35, PeCMan Ontology, TV-Anytime, DIG35 Ontology and CAM4Home) [10] [2]. These standards have a significant heterogeneity on two levels: metadata specification is performed using different languages and schemas that present a high structural and semantical heterogeneity.…”

Section: Data Setsmentioning

confidence: 99%

“…To do so, we calculated the mapping between TV-Anytime and all standards based XSD. Secondly, so we can compare our system with SF [14] we calculated the mapping between CAM4Home metadata model presented in [2] and all metadata standards mentioned aboves. CAM4Home metadata model is based RDF Schema, it is a part of the CAM4Home ITEA2 project 1 .…”

Section: Data Setsmentioning

confidence: 99%

See 1 more Smart Citation

MuMIe

Amir

Benabbas

Bilasco

et al. 2011

Proceedings of the 1st ACM International Conference on Multimedia Retrieval

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The recent growth of multimedia requires an extensive use of metadata for their management. However, a uniform access to metadata is necessary in order to take advantage of them. In this context, several techniques for achieving metadata interoperability have been developed. Most of these techniques focus on matching schemas defined by using one schema description language. The few existing matching systems that support schemas from different languages present some limitations. In this paper we present a new integration system supporting schemas from different description languages. Moreover, the proposed matching process makes use of several types of information (linguistic, semantic and structural) in a manner that increases the matching accuracy.

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Section: Data Setsmentioning

confidence: 99%

Section: Data Setsmentioning

confidence: 99%

MuMIe

Amir

Benabbas

Bilasco

et al. 2011

Proceedings of the 1st ACM International Conference on Multimedia Retrieval

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“…There were considered already existent technological alternatives such as MPEG-21, but their lack of capabilities for representing services or community created information rejected them. Amir et al [6] enlarge this CAM concept providing extended details about the capabilities of the CAM Meta-model, including as well some RDF usage examples.…”

Section: Figure 3 Cam Bundle Informationmentioning

confidence: 99%

“…This new user model has been integrated within a content generic metadata model [6], which is called CAM (Collaborative Aggregated Multimedia) meta-model. It merges information about content, services, physical and technical environment.…”

Section: Introductionmentioning

confidence: 99%

A user meta-model for context-aware recommender systems

Duran

Laitakari

Pakkala

et al. 2010

Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems

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User profiles are increasingly used for sharing standard information about users among context-aware agents. User profiles allow agents to offer users personalized content and services. However, the entities and contextual information used by these agents must have same meaning in order to share a common understanding about user related personal information, context and preferences. The contribution of this paper is to present a general user metadata model which is integrated within a generic metadata model (CAM Meta-model) that covers altogether information about content, services, physical and technical environment. This new user profile meta-model has been designed with a view of using it in conjunction with content and service recommender systems. It brings new opportunities to reason over user context data with the main purpose of increasing user experience in ubiquitous environments and satisfying their desires depending on the circumstances.

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“…These standards have a significant structural and semantical heterogeneity. The mediated schema we have chosen to integrate the standards mentioned above is described in [31]. It is a part of the CAM4Home ITEA2 project 1 .…”

Section: A Data Setsmentioning

confidence: 99%