An Intuitive Graphic Environment for Navigation and Classification of Multimedia Documents

In this work, we propose an intuitive graphic framework for the effective visualization of MPEG-7 low-level features, in the context of classification and annotation of audio-visual documents. This graphic tool is proposed to facilitate the access to the content, and to improve a quick understanding of the semantics associated to the considered document. The main visualization paradigm employed consists in representing a 2D feature space in which the shots of the audiovisual document are located. In another window, the same shots are drawn in a temporal bar that gives the users also the information related to the time domain. In the main window, shots with similar content fall near each other, and the proposed tool offers various functionalities for automatically and semi-automatically finding and annotating shot clusters in the feature space. The use of the proposed system to analyze the content of few video sequences has shown very interesting capabilities