With this paper, we add a new twist to creating visual representations by proposing a way to construct new visualization designs by blending together a number of existing visual representations, called presets.
This article combines these two lines of research by proposing a mathematical model that can be iteratively improved by adding visual annotations to zoomed scatterplots of the data.
Inspired by the visual saliency detection approach, we propose a visual saliency detection-based sample selection unifying with online boosting approach for robust object tracking.
Profoundly anchored in Portuguese culture, Vasconcelos proposes a visual language perceptible by all.
Here, we propose a Visual Analytics tool, SubVIS, to help explore biomedical patient data by combining Sub-space analysis algorithms with interactive VISualization.
In this paper, we propose a novel visual feature coding strategy by integrating dictionary structure, into which it incorporates not only the relations between visual features and visual words, but the pair-wise relations among visual words.
We propose a Stereoscopic Visual Attention- (SVA-) based regional bit allocation optimization for Multiview Video Coding (MVC) by the exploiting visual redundancies from human perceptions.
This paper proposes a new visual tracking framework and demonstrates its merits via mobile robot experiments.
We believe that this type of problem is not solved by using other observation approaches, such as proposing a new metric or a new visual resource.
In this study, we have proposed a method for visual landmark selection from image streams captured by a camera mounted on a mobile robot.
