By Benoit Huet, Alan F. Smeaton, Ketan Mayer-Patel, Yannis Avrithis
This booklet constitutes the refereed court cases of the fifteenth foreign Multimedia Modeling convention, MMM 2009, held in Sophia-Antipolis, France, in January 2009. The 26 revised complete papers and 20 revised poster papers offered including 2 invited talks have been rigorously reviewed and chosen from one hundred thirty five submissions. The papers are equipped in topical sections on computerized annotation, coding and streaming, video semantics and relevance, audio, reputation, type and retrieval, in addition to question and summarization.
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Extra resources for Advances in Multimedia Modeling: 15th International Multimedia Modeling Conference, MMM 2009, Sophia-Antipolis, France, January 7-9, 2009. Proceedings. ... Applications, incl. Internet Web, and HCI)
In psychological terminology, these observers are ready to accept stimulus. Their reﬂection therefore follows the stimulus-reﬂection model  (Equation 1). A(t) = pX(t − τ ) + α + w(t) (1) where A(t) denotes attention intensity at the moment t; X(t − τ ) refers to stimulus strength with a reﬂection delay τ ; α stands for the threshold triggering a response; p is a reﬂection parameter and w(t) is perceptual noise. g. 384 sec for vision . Individual understandings from these observers aﬀect video viewer’s feeling.
Denotes negative qualitative relation, which decreases attention intensity, and ∗ for unsure. Salient Feature football size uniform size face area domain color ratio edge distribution goalpost penalty box shot cut frequency motion vector zoom-in sequence visual excitement lighting colour energy replay oﬀ-ﬁeld shot base band energy cross zero ratio speech band energy keyword MFCC and delta spectral roll-oﬀ spectral centroid spectral ﬂux octave energy music scale audio type proportion scene aﬀect vector Psychological Facts Qualitative Aﬀection on Attention zoom depth + zoom depth + zoom depth + zoom depth − rect of interest * rect of interest * rect of interest * temporal variance + temporal variance * temporal variance + motion + spatial variance * stimuli strength * temporal contrast * temporal contrast * loudness + sound variation + sound variation + semantic * sound variation * sound variation + loudness + loudness + loudness + sound variation * valance classiﬁcation * valance classiﬁcation * notice.
Rattention = E(Agoal ) E(Aevents ) ∼ E(A) E(A) (24) where E is the expectation function, and Aevents , Agoal , A denote estimated attention intensity on events, goals and the entire game, respectively. Table 2 36 R. M. Jose Table 2. 221 Table 3. Attention ratio(goals vs. 658 compares the average of attention intensity over diﬀerent temporal resolutions. Many interesting conclusions are reached: (1) the maximum of average attention appears at the temporal resolution of 76 sec; (2) the delta maximum is at the resolution of about 5 min (304sec).
Advances in Multimedia Modeling: 15th International Multimedia Modeling Conference, MMM 2009, Sophia-Antipolis, France, January 7-9, 2009. Proceedings. ... Applications, incl. Internet Web, and HCI) by Benoit Huet, Alan F. Smeaton, Ketan Mayer-Patel, Yannis Avrithis