Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
Compact representations of video data can enable efficient video browsing. Such representations provide the user with information about the content of the particular sequence being examined while preserving the essential message. We propose a method to automatically generate video summaries for long videos. Our video summarization approach involves mainly two tasks: first, segmenting the video into small, coherent segments and second, ranking the resulting segments. Our proposed algorithm scores segments based on word frequency analysis of speech transcripts. Then a summary is generated by selecting the segments with the highest score to duration ratios and these are concatenating them. We have designed and performed a user study to evaluate the quality of summaries generated. Comparisons are made using our proposed algorithm and a random segment selection scheme based on statistical analysis of the user study results. Finally we discuss various issues that arise in summary evaluation with user studies. © 2002 SPIE · 0277-786X/02/$15.00.
Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
Simeon Furrer, Dirk Dahlhaus
ISIT 2005
R.A. Brualdi, A.J. Hoffman
Linear Algebra and Its Applications
T. Graham, A. Afzali, et al.
Microlithography 2000