Advances in Multimedia Modeling: 15th International by Benoit Huet, Alan F. Smeaton, Ketan Mayer-Patel, Yannis

By Benoit Huet, Alan F. Smeaton, Ketan Mayer-Patel, Yannis Avrithis

This e-book constitutes the refereed complaints of the fifteenth overseas 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 geared up in topical sections on automatic annotation, coding and streaming, video semantics and relevance, audio, acceptance, type and retrieval, in addition to question and summarization.

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Additional 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)

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For other trajectories, the system returns a uniform distribution. The position of the fixation point is calculated by backprojecting the center of the image onto the plane whose height is 90cm (the average height of the centroids of players) above the pitch plane. 3 def , vt ) ∝ ( ˆ) ( ˆ) P (y t | nt , xt , v t ) (if = ˆ) (2) 1 (otherwise) ( ) xt − v t . (3) Prediction The “prior” defined in Eq.

1 R. M. Jose Fine-to-Coarse Filtering Let x ˆ(s|s) be the optimal estimation of attention intensity x(s) at a node s, together with P (s|s), the error covariance. Initialisation. Start with salient features at the finest temporal resolution. For each leaf s, the estimation of x ˆ(s|s−) and the covariance P (s|s−) from the sub-tree are as follows. x ˆ(s|s−) = 0 (8) P (s|s−) = Px (s) (9) Measure Updating is identical to the analogous step in a Kalman filter, although only estimations are changed here.

In [3], Bahl and Padmanabhan present an RF-based system for location estimation that uses signal-strength information from wireless network base-stations at known locations. Using a similar approach, GSM has also shown potential for providing good localisation [2]. 5% of the time a user carries a device over a typical day [1]. Image based localisation provides an alternative and complementary approach to these technologies. A great deal of work has been done in the autonomous vehicle community on Simultaneous Localisation and Mapping (SLAM), whereby a mobile robot builds a map of its environment and at the same time uses this map to compute its own location [7].

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