Masahiko Itoh, Masashi Toyoda, Cai Zhi Zhu, Shin'ichi Satoh, Masaru Kitsuregawa
To understand recent societal behavior, it is important to compare how multiple media are affected by real-world events and how each medium affects other media. This paper proposes a novel 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 image flows on a timeline in 3D space to visually and interactively explore time sequential changes in influences among media resources and differences and/or similarities between them such as topics that become popular on only blogs or that become popular on blogs earlier than on TV.