Intuitive Video Browsing Along Hierarchical Trees

Recent advances in technology have increased the availability of video data, creating a strong requirement for efficient systems to manage those materials. Making efficient use of video information requires that data be accessed in a user-friendly way. Ideally, one would like to perform video search using an intuitive tool. Most of existing browsers for the interactive search of video sequences, however, have employed a too rigid layout to arrange the results, restricting users to explore the results using list- or grid-based layouts. In this paper, we present a novel approach for the interactive search that displays the result set in a flexible manner. The proposed method is based on a hierarchical structure called Divisive-Agglomerative Hierarchical Clustering (DAHC). It is able to group together videos with similar content and to organize the result set in a well-defined tree. This strategy makes the navigation more coherent and engaging to users.

2011