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Multimedia Databases Exercise Sheet 08

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Exercises for Multimedia Databases

Institut für Informationssysteme – TU Braunschweig - http://www.ifis.cs.tu-bs.de

Multimedia Databases

Exercise Sheet 08

(Shot Detection)

Please note: The exercises will be neither collected, nor corrected, or graded.

Exercise 1 – Shot Detection

a) What is the general structure of a video?

b) What are the issues with using the Template Matching technique for shot detection?

c) What problem does Twin-Thresholding solve?

d) How can we perform shot detection on compressed videos without decompressing them?

Exercise 2 – Temporal Models

a) What are the problems that arise if we model the shot boundaries as a series of events through the Poisson process?

b) In a very small training collection we have information about the duration of 15 shots:

2,94 2, 91 3,83 5,57 7,53

3,98 3,78 3,19 3,63 2,87

5,86 4,88 2,75 1,25 4,29

Considering that the shot durations are Erlang-distributed, estimate the parameters r and λ of this distribution as described in the lecture.

Note: According to film theory, r is small. For this reason we shall consider it as taking values between 1 and 10, with a step of 1. To furthermore simplify the problem, consider that the continuous variable λ, varies between 0.01 and 10 with a step of 0.01.

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