Marlène Villanova-Oliver

An MPEG-7 framework enhancing the reuse of 3D models

The continuous evolution of computer capacities, as well as the emergence of the X3D standard has recently boosted the 3D domain. Even if efficient tools that support the designers work exist, little attention is paid to the reuse of 3D models. Associating some semantics with 3D contents is an important issue for reusing such contents or pieces of content. In this paper, we address this issue by using a generic semantic annotation model for 3D, called 3DSEAM [Bilasco et al. 2005b] (3D SEmantics Annotation Model). 3DSEAM aims at indexing 3D contents considering visual, geometric and semantic aspects. A generic 3D Annotation Framework (called 3DAF) is proposed in order to manage the semantic annotations of 3D objects. 3DAF is instantiated using an MPEG-7-based architecture. An extension of MPEG-7 that addresses 3D content is used. [Bilasco et al. 2005a].

Context-aware filtering for collaborative web systems: adapting the awareness information to the user's context

We propose a context-based filtering process which aims at adapting the awareness information delivered to mobile users by collaborative web systems. This filtering process relies on a model of context which integrates both a physical and an organizational dimensions and allows to represent the users current context as well as general profiles. These profiles are descriptions of users potential contexts and express the awareness information filtering rules to apply when the users current context matches one of them. These rules reflect the users preferences given a context. We describe how the filtering process performs in two steps, one for identifying the general profiles that apply, and a second for selecting the awareness information. We also discuss the patterns matching algorithms used in the filtering process to compare the contexts descriptions.

On indexing of 3D scenes using MPEG-7

The evolving desktop computer capacities and the emergence of the X3D standard offer a new boost to 3D domain. Giving sense to 3D content becomes a major issue specially for reusing such a content extracted from existing 3D scenes. In this paper, we address this issue by proposing a generic semantic annotation model for 3D called 3DSEAM (3D SEmantics Annotation Model). 3DSEAM aims at indexing 3D content considering visual, geometric and semantic aspects. 3DSEAM is instantiated using MPEG-7 extended with 3D specific locators. These locators link the visual, geometric and semantic features of a 3D content to the corresponding X3D fragment.

PhotoMap: from location and time to context-aware photo annotations

Despite the growth of geotagged multimedia data on the Web, spatial and temporal metadata are still poorly exploited by Web search engines and multimedia systems. Interpretation and inference processes can enlarge these metadata towards high quality information that are useful for annotating multimedia automatically. In this article, we propose a semi-automatic approach for annotating personal photos based on the use of OWL-DL ontologies together with the next generation of mobile devices. We present an ontology called ContextPhoto and a contextual photo annotation approach which improve the development of more efficient personal image management tools. ContextPhoto provides concepts for representing captured and inferred context information reusing Web standards that describe spatial, temporal and social networking data. In order to validate the context annotation process we propose, we have also designed and developed a mobile and Web location-based system. This new system, called PhotoMap, is an evolution of the related mobile annotation systems since it provides automatic annotation about the spatial, temporal and social contexts of a photo. We also present a demonstration of the PhotoMap application during a tourist tour in the city of Rome.

Towards the semantic and context-aware management of mobile multimedia

Users of mobile devices can nowadays easily create large quantities of mobile multimedia documents tracing significant events attended, places visited or, simply, moments of their everyday life. However, they face the challenge of organizing these documents in order to facilitate searching through them at a later time and sharing them with other users. We propose using context awareness and semantic technologies in order to improve and facilitate the organization, annotation, retrieval and sharing of personal mobile multimedia documents. Our approach combines metadata extracted and enriched automatically from the users’ context with annotations provided manually by the users and with annotations inferred by applying user-defined rules to context features. These new contextual metadata are integrated into the processes of annotation, sharing and keyword-based retrieval.

PUMAS: a framework based on ubiquitous agents for accessing web information systems through mobile devices

In this paper, we describe PUMAS [3], a framework based on Ubiquitous Agents for accessing Web Information Systems (WIS) through Mobile Devices (MD). The objective of PUMAS is to adapt the information delivered to a nomadic user (who often changes her/his location) according to her/his preferences, intentions and history in the system and, to the limited capacities of her/his MD. We use some AUML (Agent Unified Modelling Language) [11] diagrams for representing the messages exchange between the agents and the PUMAS components.

Semantic-based rules for 3D scene adaptation

3D data is democratizing on the Web as it becomes available to everybody on almost all access devices. Still, 3D data is a heavy medium, as it contains a lot of geometric and texture information. This complexity raises a lot of problems, especially when data initially designed for great capacity access devices, is to be deployed on small devices. Due to the great heterogeneity of access devices and of their users and usages, the adaptation of already designed data is an important issue. In this paper, we present a rule-based adaptation framework that deals with the adaptation of X3D scenes. An adaptation rule indicates a type of adaptation to be applied to a set of objects which fit with the rule criterion. A basic set of adaptation techniques are registered within the framework. The framework is flexible and additional adaptation engines can be registered in order to support large sets of adaptation techniques.

STAMP: A Model for Generating Adaptable Multimedia Presentations

The STAMP model addresses the dynamic generation of multimedia presentations in the domain of Multimedia Web-based Information Systems. STAMP allows the presentation of multimedia data obtained from XML compatible data sources by means of query. Assuming that the size and the nature of the elements of information provided by a data source is not known a priori, STAMP proposes templates which describe the spatial, temporal, navigational structuration of multimedia presentations whose content varies. The instantiation of a template is done with respect to the set of spatial and temporal constraints associated with the delivery context. A set of adaptations preserving the initial intention of the presentation is proposed.

3DSEAM: a model for annotating 3D scenes using MPEG-7

The progress and the continuous evolution of computer capacities, as well as the emergence of the X3D standard have recently boosted the 3D domain. Associating some semantics with 3D contents becomes a major issue specially for reusing such contents or pieces of content after having extracted them from existing 3D scenes. In this paper, we address this issue by proposing a generic semantic annotation model for 3D, called 3DSEAM (3D semantics annotation model). 3DSEAM aims at indexing 3D contents considering visual, geometric and semantic aspects. 3DSEAM is instantiated using MPEG 7 that we have extended with 3D specific locators. These locators link some visual, geometric and semantic features to the corresponding X3D fragments. These features can then be used for indexing and querying.

A semantic approach and a web tool for contextual annotation of photos using camera phones

The increasing number of personal digital photos on the Web makes their management, retrieval and visualization a difficult task. To annotate these images using Semantic Web technologies is the emerging solution to decrease the lack of the description in photos files. However, existing tools performing manual annotation are time consuming for the users. In this context, this paper proposes a semi-automatic approach for annotating photos and photo collections combining OWL-DL ontologies and contextual metadata acquired by mobile devices. We also describe a mobile and Web-based system, called PhotoMap, that provides automatic annotation about the spatial, temporal and social contexts of a photo (i.e., where, when, and who). PhotoMap uses the Web Services and Semantic Web reasoning methods in order to infer information about the taken photos and to improve both browsing and retrieval.