VIDEO DATA VISUALIZATION SYSTEM: SEMANTIC CLASSIFICATION AND PERSONALIZATION

Jamel SLIMI and Anis Ben AMMAR and Adel M. ALIMI ReGIM (Research Group on Intelligent Machine) National Engineering School of Sfax, Tunisia National Engineering School of Sfax University of sfax, Tunisia 

ABSTRACT 

We present in this paper an intelligent video data visualization tool, based on semantic classification, for retrieving and exploring a large scale corpus of videos. Our work is based on semantic classification resulting from semantic analysis of video. The obtained classes will be projected in the visualization space. The graph is represented by nodes and edges, the nodes are the keyframes of video documents and the edges are the relation between documents and the classes of documents. Finally, we construct the user’s profile, based on the interaction with the system, to render the system more adequate to its preferences. 

KEYWORDS 

Video, Semantic Concept Extraction, Semantic Classification, data Visualization, Personalization.  

More Details : http://airccse.org/journal/ijcga/papers/2212ijcga01.pdf