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<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>Alex
Potamianos, from the Technical University of Crete, and currently visiting USC
on sabbatical, will give a talk on Friday at 2pm. Note the location: Webb 1100
(a short walk from Frank Hall). <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p> </o:p></span></p>
<p class=MsoNormal style='background:white'><b><span style='font-size:10.5pt;
font-family:"Arial","sans-serif";color:#484848'>Movie Skimming and
Summarization Using Audio, Visual and Text Saliency<o:p></o:p></span></b></p>
<p class=MsoNormal style='background:white'><span style='font-size:10.0pt;
font-family:"Arial","sans-serif";color:#484848'>Alex Potamianos - Technical
University of Crete / USC<o:p></o:p></span></p>
<p class=MsoNormal style='background:white'><span style='font-size:10.0pt;
font-family:"Arial","sans-serif";color:#484848'><a
href="http://www.telecom.tuc.gr/~potam/index.html">http://www.telecom.tuc.gr/~potam/index.html</a></span><span
style='font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p></o:p></span></p>
<p class=MsoNormal style='background:white'><span style='font-size:10.0pt;
font-family:"Arial","sans-serif"'>Location: Webb 1100<o:p></o:p></span></p>
<p class=MsoNormal style='background:white'><span style='font-size:10.0pt;
font-family:"Arial","sans-serif"'>Time: 2:00pm, Friday January 16<span
style='color:#484848'><o:p></o:p></span></span></p>
<p class=MsoNormal style='background:white'><span style='font-size:10.0pt;
font-family:"Arial","sans-serif";color:#484848'> <o:p></o:p></span></p>
<p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial","sans-serif";
color:#484848'>Detection of perceptually important video events is formulated
here on the basis of saliency models for the audio, visual and textual
information conveyed in a video stream. Audio saliency is assessed by cues that
quantify multifrequency waveform modulations, extracted through nonlinear
operators and energy tracking. Visual saliency is measured through a
spatiotemporal attention model driven by intensity, color and motion. Text
saliency is extracted from part-of-speech tagging on the subtitles information
available with most movie distributions. The various modality curves are
integrated in a single attention curve, where the presence of an event may be
signified in one or more domains. The presence of salient events is
signified on this audiovisual curve by geometrical features such as local
extrema, sharp transition points and level sets. This multimodal saliency curve
(MSC) and its geometric characteristics (extrema, level sets) is the basis of a
bottom-up video summarization algorithm, that refines results from unimodal or
audiovisual-based skimming. The algorithm performs favorably for video
summarization in terms of informativeness and enjoyability.</span><span
style='font-size:10.0pt;font-family:"Arial","sans-serif"'><o:p></o:p></span></p>
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