Boundary Error Analysis and Categorization in the TRECVID News Story Segmentation Task

Abstract

In this paper, an error analysis based on boundary error popularity (frequency) including semantic boundary categorization is applied in the context of the news story segmentation task from TRECVID. Clusters of systems were defined based on the input resources they used including video, audio and automatic speech recognition. A crosspopularity specific… (More)
DOI: 10.1007/11526346_14

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