We review recent visualization techniques aimed at supporting tasks that require the
analysis of text documents, from approaches targeted at visually summarizing the relevant …

Knowing where people look and click on visual designs can provide clues about how the
designs are perceived, and where the most important or relevant content lies. The most …

This paper introduces a Unified Model of Saliency and Importance (UMSI), which learns to
predict visual importance in input graphic designs, and saliency in natural images, along …

Internet users are very familiar with the results of a search query displayed as a ranked list of
snippets. Each textual snippet shows a content summary of the referred document (or …

People often create themed collections to make sense of an ever-increasing number of
archived web pages. Some of these collections contain hundreds of thousands of …

Landmark summarization with diverse viewpoints is very important in landmark retrieval, as
it can create a comprehensive description of a landmark for users. In this paper we present …

In this paper, we investigate the contextualization of news documents with geographic and
visual information. We propose a matrix factorization approach to analyze the location …

While images are commonly used in search result presentation for vertical domains such as
shop** and news, web search results surrogates remain primarily text-based. In this …

Users are confronted with an overwhelming amount of web pages when they look for
information on the Internet. Current search engines already aid the user in their information …

The ongoing revolution in media consumption from traditional PCs to the pervasiveness of
mobile devices is driving the adoption of social media in our daily lives. More and more …