This paper presents the creation of an MPEG-7 compliant annotation using a commercial multimedia database. The contributions of this paper is first identifying the most effective weights, for low level image characteristics, with Oracle Intermedia. Second, describing a video scene identification technique using an Oracle 10g multimedia database.

The annotation of image and video data of large datasets is a fundamental task in multimedia information retrieval [5, 9] and computer vision applications [6, 8, 13]. In order to support the users during the image and video annotation process, several software tools have been developed to provide them with a graphical environment which helps drawing object contours, handling tracking informatio...

Content-based video retrieval systems (CBVR) are creating new search and browse capabilities using metadata describing significant features of the data. An often overlooked aspect of human interpretation of multimedia data is the affective dimension. Incorporating affective information into multimedia metadata can potentially enable search using this alternative interpretation of multimedia con...

Fully automated solutions for semantic annotation of multimedia content still do not deliver satisfying results. Most manual ontologybased annotation approaches are not suitable for end users who are not experienced with navigating huge ontologies or extending the ontologies used to annotate. We thus present an annotation methodology which supports the user in the aforementioned tasks. This low...

Semantic descriptions of non-textual media available on the web can be used to facilitate retrieval and presentation of media assets and documents containing them. While technologies for multimedia semantic descriptions already exist, there is as yet no formal description of a high quality multimedia ontology that is compatible with existing (semantic) web technologies. We explain the complexit...

Nowadays research and development activities are accompanied by an increasing focus on future user needs in the field of multimedia retrieval. The fast growing of multimedia data repositories is an undeniable fact, so specialized tools allowing storage, indexing and retrieval of multimedia content have to be developed, and in addition easy-to-use content exchange is needed. The transition from ...

Semantic annotation of multimedia data for improving search engine performance is an important issue. We have focused on the automated annotation of video recordings of university lectures. Most times these lectures are supported by a desktop presentation provided by the lecturer. This presentation in general contains an outline of the given lecture and thus, enables automated annotation of the...

We present in this paper an integrated system that allows the management and annotation of multimedia objects stored in MPEG-7/21 repositories, and the specification and semi-automatic generation of multimedia presentations based on the content relationships that exist between the multimedia objects. main components of the CoCoMA infrastructure that aims to provide content-and context-aware ric...

With the advent of online social networks and User-Generated Content (UGC), the social Web is experiencing an explosion of audio-visual data. However, the usefulness of the collected data is in doubt, given that the means of retrieval are limited by the semantic gap between them and people’s perceived understanding of the memories they represent. Whereas machines interpret UGC media as series o...

Multimedia data mining requires the ability to automatically analyze and understand the content. The Community of Multimedia Agents project is devoted to creating a community of researchers and students who are interested in developing multimedia annotation algorithms. It provides an open environment for developing, testing, learning and prototyping multimedia content analysis and annotation me...