A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is
Text Readability within Video Retrieval Applications: A Study On CCTV Analysis
Journal of Multimedia
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