Highlighting in information visualization: A survey

Highlighting was the basic viewing control mechanism in computer graphics and visualization to guide users' attention in reading diagrams, images, graphs and digital texts. As the rapid growth of theory and practice in information visualization, highlighting has extended its role that acts as not only a viewing control, but also an interaction control and a graphic recommendation mechanism in knowledge visualization and visual analytics. In this work, we attempt to give a formal summarization and classification of the existing highlighting methods and techniques that can be applied in Information Visualization, Visual Analytics and Knowledge Visualization. We propose a new three-layer model of highlighting. We discuss the responsibilities of each layer in the different stage of the visual information processing. © 2010 IEEE

Social and Content-based Approach for Visual Recommendation of Web Graphics

To combine social and content-based filtering techniques for image data, we have developed a new approach that uses clustering of images based on both content and social information. In this paper, we propose a visual interface that makes use of this clustering technique to explain the filtering results. The items in the database are laid out on a 2 dimensional map according to content-based similarity. A technique called "dynamic filtering" shows relationship between the items based on social similarity. The social and content-based clusters are visualized as landmarks on the map to enhance comprehensibility of the map. Visualization of both social and content-based spaces on a map combines their own advantages on information browsing: specialization of filtering results in the content-based space and serendipitous information discovery in the social space. We demonstrate an example of visualization applied to our web graphics recommender system. Keywords image retrieval, information..