Eun Joo Kwak , Yong Joo Cho , Hyun Sang Cho , Kyoung Shin Park

The KIPS Transactions:PartB , Vol. 15, No. 3, pp. 211-218, Jun. 2008
10.3745/KIPSTB.2008.15.3.211,   PDF Download:

Abstract

In this paper, we proposed a new image summarization algorithm designed for automatically summarizing user's snapshot photos taken in a virtual environment based on user's context information and educational contents, and then presenting a summarized photos shortly after user's virtual reality experience. While other image summarization algorithms used date, location, and keyword to effectively summarize a large amount of photos, this algorithm is intended to improve users' memory retention by recalling their interests and important educational contents. This paper first describes some criteria of extracting the meaningful images to improve learning effects and the identification rate calculations, followed by the system architecture that integrates the virtual environment and the viewer interface. It will also discuss a user study to model the algorithm's optimal identification rate and then future research directions.

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