A Framework of Indexation and Document Video Retrieval Based on the Conceptual Graphs

Most of the video indexing and retrieval systems suffer from the lack of a comprehensive video model capturing the image semantic richness, the conveyed signal information and the spatial relations between visual entities. To remedy such shortcomings, we present in this paper a video model integrating visual semantics, spatial and signal characterizations. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, semantic-based keyword annotation and retrieval frameworks

An Approach to a Content-Based Retrieval of Multimedia Data

. This paper presents a data model tailored for multimedia data representation, along with the main characteristics of a Multimedia Query Language that exploits the features of the proposed model. The model addresses data presentation, manipulation and content-based retrieval. It consists of three parts: a Multimedia Description Model, which provides a structural view of raw multimedia data, a Multimedia Presentation Model, and a Multimedia Interpretation Model which allows semantic information to be associated with multimedia data. The paper focuses on the structuring of a multimedia data model which provides support for content-based retrieval of multimedia data. The Query Language is an extension of a traditional query language which allows restrictions to be expressed on features, concepts, and the structural aspects of the objects of multimedia data and the formulation of queries with imprecise conditions. The result of a query is an approximate set of database objects which parti..