From Aggregation to Navigation: Large Image Collections Seeking and Exploration

摘要

In this paper, we evaluate managing huge sets of visual content as we know handling large image collections has always been a challenge for technologists. With the rise of various social media platforms that aggregate a vast amount visual data it causes new implications not only for the computer scientists but also for curators, designers, social scientists, statisticians and end users: how to navigate the data efficiently, access to new levels of exploration and visualize the content without too many details being lost. With more and more such platforms, the bigger this challenge is going to get. In 22 semi structured surveys in Oslo (Norway), we find that a set of factors intermix to inform perceptions about large image collections - including how often they look-over large image collections.