We introduce an algorithm for automatic selection of semantically‐resonant colors to
represent data (eg, using blue for data about “oceans”, or pink for “love”). Given a set of …

In this paper, we propose to learn the structures of stereoscopic image based on
convolutional neural network (CNN) for no-reference quality assessment. Taking image …

When data categories have strong color associations, it is useful to use these semantically
meaningful concept-color associations in data visualizations. In this paper, we explore how …

In image/video systems, contrast adjustment which manages to enhance visual quality is
nowadays an important research topic. Yet very limited struggles have been made to the …

We study the concept of color semantics by modeling a dataset of magazine cover designs,
evaluating the model via crowdsourcing, and demonstrating several prototypes that facilitate …

Abstract Systems and methods are described herein to determine data associated with
affiliated color palettes identified from keyword searches of color palettes. Color palettes …

We learn to direct visual saliency in multimodal (ie, pointing gestures and spoken
references) human-robot interaction to highlight and segment arbitrary referent objects. For …

Color design has long benefited from the statistical analysis of public taste and, more
recently, from crowdsourcing to discover fresh and popular ideas. However, the current color …

Despite recent progress in the analysis of neuroimaging data sets, our comprehension of the
main mechanisms and principles which govern human brain cognition and function remains …

In automatic signature verification, questioned specimens are usually compared with
reference signatures. In writer-dependent schemes, a number of reference signatures are …