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The indexing and retrieval of video footage requires appropriate annotation of the video for search queries to be able to provide useful results. This paper discusses an approach to automating video annotation based on an expanded consideration of readability that covers both text factors and cognitive factors. The eventual aim is the selection of ontological elements that support wider ranges of user queries through limited sets of annotations derived automatically through the analysis ofdoi:10.4304/jmm.5.2.123-141 fatcat:5hlct3adyfgivaz6mkx5jxr75y