To understand recent societal behavior, it is important to compare how
multiple media react to real world events and how each medium reacts to other
media. This paper proposes a framework for inter-media comparison through
visualizing images extracted from different types of media. We extract blog
image clusters from our six-year blog archive and search for similar TV shots
in each cluster from a broadcast news video archive by using image
similarities. We then visualize such flows of images on a timeline to explore
visually changes in activities and interests of people and differences and/or
similarities between media such as image clusters that become hot topics on
only blogs or that become popular on blogs earlier than on TV.