A video summary abstracts the entirety with the gist without losing the essential content of the original video and also facilitates efficient content‐based access to the desired content. In this article, we propose a novel method for summarizing a news video based on multimodal analysis of the content. The proposed method exploits the closed caption (CC) data to locate semantically meaningful highlights in a news video and speech signals in an audio stream to align the CC data with the video in a time‐line. Then, the extracted highlights are described in a multilevel structure using the MPEG‐7 Summarization Description Scheme (DS). Specifically, we use the HierarchicalSummary DS that allows efficient accessing of the content through such functionalities as multilevel abstracts and navigation guidance in a hierarchical fashion. Intensive experiments with our prototypical systems are presented to demonstrate the validity and reliability of the proposed method in real applications.
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Kim et al. (2003) studied this question.
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