2009 Fourth International Workshop on Semantic Media Adaptation and Personalization

The potential of Digital TV for e-commerce remains heavily underexploited, mainly because there are no systematic approaches to the provision of applications to browse information about the advertised items, to purchase them online, etc. We present a procedure to automatically compose interactive applications that provide personalized commercial functionalities to the users, gathering contents fro... View full abstract»

Recommender systems are very useful tools in application domains that suffer from information overload, offering the users suggestions they may be interested in. Owing to its business interest, e-commerce has become a major domain in this research field, since identifying those products that the users will appreciate could increase users' consumption. However, current e-commerce recommender system... View full abstract»

Search personalization is an area of considerable research interest. In this paper, we propose a framework for personalizing cross-language search using user models. Our work extends existing studies in two directions. First, the framework extends to the area of cross-language information retrieval. Second, the study aims to elicit features of cross-language search behavior from multilingual searc... View full abstract»

Ontology mapping is required to combine heterogeneous ontologies. Developing such ontology mapping has been a core issue of recent ontology research. This paper presents the mapping of several standard domain ontologies in order to implement the CINeSPACE integrated ontology. Four source ontologies have been selected and the set of overlapping concepts that are similar in meaning has been determin... View full abstract»

In this work, the problem of performing multi-modal analysis of audio-visual streams by effectively combining the results of multiple uni-modal analysis techniques is addressed. A non-learning-based approach is proposed to this end, that takes into account the potential variability of the different uni-modal analysis techniques in terms of the decomposition of the audio-visual stream that they ado... View full abstract»

This article presents the motivation and the implementation of a semantic model developed to support diverse semantic services in a multimedia asset management system in a broadcaster. The model is mainly driven by DMS-1 (descriptive metadata scheme) standard, which is part of the multimedia exchange format standard defined by the broadcast industrial community and according to our knowledge we pr... View full abstract»

The blogosphere is a part of the Web, enhanced with several characteristics that differentiate blogs from traditional websites. The number of different authors, the multitude of user-provided tags, the inherent connectivity between blogs and bloggers, the high update rate, and the time information attached to each post are some of the features that can be exploited in various information retrieval... View full abstract»

The diversity of presentation contexts for multimedia documents requires the adaptation of document specifications. In an earlier work, we have proposed a semantic adaptation framework for multimedia documents. This framework captures the semantics of the document composition and transforms the relations between multimedia objects according to adaptation constraints. In this paper,we show that rel... View full abstract»

One commonly used approach to scene localization and landmark recognition is to match an input image against a large annotated database of images using local image features. However problems exist with these approaches relating to memory constraints and the processing time required to compare high dimensional image feature vectors in a very large scale database. We investigate a new landmark class... View full abstract»

This paper presents an interface of image query system for content-based image retrieval.The proposed interface can split images into the regions and select an target region from the separated regions. We apply content-based image retrieval to the selected region as a query.The images in databases are also split into the areas in advance.The content features such as color and texture are extracted... View full abstract»

This position paper presents some techniques for revealing personalization and users' calling behavioral patterns by using XML-based communication records from simulations. A short description of the most common methods applied is provided, along with a case study for potential application employing real telecommunication call detail records (CDRs). Finally, we describe an intelligent architecture... View full abstract»

The problem of navigation of the student over learning objects can be solved either by creating relations between learning objects or by using metadata of learning objects stored in concepts space of the domain. Every learning object has such defined metadata in a form of relation to several concepts. Concepts space contains information about structural and dependency relations between concepts. W... View full abstract»

Edges are one of the most important image visual features. They are highly related with shapes and can also be representative of the image textures. Edge orientation histograms are usually very reliable descriptors suitable for image analysis, search and retrieval. In this work two methods to compute edge based orientation descriptors are reported: the "Edge Pixel Orientations Histogram" and the "... View full abstract»

In recent years, due to technological developments, the use of Closed-Circuit Television monitoring has been widely used not only in public areas but also in confined and/or private spaces for improved personal safety and security. The increased data acquisition has naturally resulted in the critical need for multimedia analysis for semantic object and event detection. Addressing this research pro... View full abstract»

In this paper we present an experimental study on the efficiency of the various MPEG-7 visual descriptors as far as the object classification is concerned. Seven different visual descriptors are investigated with the aid of three state of the art classifiers. Our data consist of 7686 manually annotated object instances corresponding to eight different object classes. A total of 1952 images from th... View full abstract»