Image-Based Quizzes from News Video Archives

This paper proposes a method for generating image-based quizzes from news video achieves. Although there are many types of quizzes, in this work we focus on matching quizzes in which an image is to be matched to one of several choices that are statements. The key to making a successful quiz of this type is to extract choice statements that are similar but nonidentical to the true statement regarding the image. For image selection, we need to select images that are suitable for image-based quizzes. In this paper, we report some preliminary work and highlight some interesting issues in making quizzes. We also propose a method for automatically generating quizzes using feature-based clustering analyses and assess the outcomes of trials actually using our method.

• Type: Conference
• Year: 2007
• Where: ICMCS
• Authors: Masanori Sano, Nobuyuki Yagi, Jean Martinet, Norio Katayama, Shin'ichi Satoh
• Keywords: Choice Statements, Feature-based Clustering Analyses, ICMCS 2007, Image-based Quizzes