Frederic Andres

DanVideo: an MPEG-7 authoring and retrieval system for dance videos

A well-annotated dance media is an essential part of a nation’s identity, transcending cultural and language barriers. Many dance video archives suffer from problems concerning authoring and access, because of the complex spatio-temporal relationships that exist between the dancers in terms of movements of their body parts and the emotions expressed by them in a dance. This paper presents a system named DanVideo for semi-automatic authoring and access to dance archives. DanVideo provides methods of annotation and authoring and retrieval tools for choreographers, dancers, and students. We demonstrate how dance media can be semantically annotated and how this information can be used for the retrieval of the dance video semantics. In particular, DanVideo offers an MPEG-7 based semi-automatic authoring tool that takes dance video annotations generated by dance experts and produces MPEG-7 metadata. DanVideo also has a search engine that takes users’ queries and retrieves dance semantics from metadata arranged using tree-embedding technique and based on spatial, temporal and spatio-temporal features of dancers. The search engine also leverages a domain-specific ontology to process knowledge-based queries. We have assessed the dance-video queries and semantic annotations in terms of precision, recall, and fidelity.

The role of mulsemedia in digital content ecosystem design

Digital ecosystem is a self-organizing infrastructure for creating digital environment. Similar to natural ecosystems, several digital ecosystems exist. This is due to differentiation and the development of native products and services tailored to specific local needs. Digital content is the core component of any digital ecosystem. As of now, most of the digital content focuses on only two senses. This paper highlights the significance of other senses which are to be incorporated in the creation of digital content to be used in the digital ecosystems.

Application framework based on topic maps

One of the most interesting aspects of subject-centric information processing as services is the relationship between resources and subjects. Especially Topic Maps and Published Subjects are core elements of the infrastructure of relationship management. This paper proposes an Application Framework based on Topic Maps. The Application Framework will make possible to realize subject-centric processing. Furthermore in the framework, we can express the semantic distance between topics based on a relationship cost between two nodes of the Topic Map. This paper also introduces some challenges such as software development process and semantic management. Finally, we will overview the on-going on development of the Application Framework to manage those subjects.

Dynamic Topic Mapping Using Latent Semantic Indexing

This paper proposes an approach to provide a dynamic multipoint view of textual documents based on summarization in arbitrary scale in order to produce topic maps. Our approach is based on the latent semantic indexing (LSI) to deal with synonymy and polysemy. Textual resources are decomposed into a set of sentences and then summarized by a set of sentences that are similar to the view of user. A document may have various summaries and by consequence several topic maps according different user interests. The advantage of our method is to be independent to the language used in the source text. Our experimentation shows that the summary text can contains the sentences whose words are different from those used in the user view but their meanings are close to those used in the user point of view

The Active HYpermedia Delivery System (AHYDS) using the PHASME application-oriented DBMS

AHYDS is a hypermedia platform being developed at NACSIS based on the PHASME application-oriented DBMS. The AHYDS is a media delivery platform to support various hypermedia applications. The features of customisability and active behavior enable to support different kinds of heterogeneous hypermedia applications. AHYDS has hypermedia access capabilities through both query language-based and non-query language-based interfaces. These capabilities are demonstrated in the context of a hypermedia museum application. The AHYDS system is publicly available on request for educational, research and industrial cooperation purposes.

A framework of NLP based information tracking and related knowledge organizing with topic maps

This paper presents a computational framework for information extraction and aggregation which aims to integrate and organize the data/information resources that spread throughout the Internet in the manner that makes them useful for tracking events such as natural disaster, and disease dispersion. We introduce a simple statistical information extraction technique for summarizing the document into a predefined structure. We apply the topic maps approach as a semantic layer in aggregating and organizing the extracted information for smart access. In addition, this paper also carries out a case study on disease dispersion domain using the proposed framework.

Semantic-augmented support in spatial-temporal multimedia blog management

Since the advent of blogging, this easy way to publish information has exponentially increased the data volume and its related complexity. Spatial-temporal information, contained inside multimedia postings, need to be better understood by search engines or by end-users as blogs still lack semantic management. The semantic web community has promoted Topic Maps as a technology which reduces the lack of semantics regarding the optimization of information creation, navigation, merging and dissemination. This paper introduces an innovative layer that combines web feed formats such as RSS 1.0 or 2.0 with the Topic Maps data model for semantic-augmented and interoperable information exchange support.

A flexible image search engine

ndessaig 63 ireste.fr Multimedia searching over Internet has gained substantial popularity in the past two years. Java’s networking features, along with the growing number of Web browsers that can execute Java apple&, facilitate distributed processing. Networking and computational performances are key concerns when considering the use of Java to develop performancesensitive distributed multimedia search engines. This paper describes MISE, the MediaSys Image Search Engine over a large-scale network. After an overview of the architecture, we present the search capabilities of MISE as companion part of image processing.

Multi-facet Category for Cultural Digital Resources

This paper points out a key issue related to the integration between cultural ontology based metadata management services and content management of digital resources. A multi-facet resource categorization approach is applied to metadata sets, allowing the metadata optimization of the description of cultural resources. It is part of the cultural ontology based metadata management system which supports interoperable semantic management.

Towards automated lecture capture, navigation and delivery system for web lecture on demand

Institutions all over the world are continuously exploring ways to use ICT in improving teaching and learning effectiveness. The use of course web pages, discussion groups, bulletin boards, and e-mails have shown considerable impact on teaching and learning in significant ways, across all disciplines. ELearning has emerged as an alternative to traditional classroom-based education and training and web lectures can be a powerful addition to traditional lectures. They can even serve as a main content source for learning, provided users can quickly navigate and locate relevant pages in a web lecture. A web lecture consists of video and audio of the presenter and slides complemented with screen capturing. In this paper, an automated approach for recording live lectures and for browsing available web lectures for on-demand applications by end users is presented.