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4 Designing Video Presentations

In this question you are to write a CILog knowledge base for the design of custom video presentations. You should assume that the video is annotated using the relation
segment(SegId, Duration, Covers)
where SegId is an identifier for the segment. (In a real application this will be enough information to extract the segment from the video disk). Duration is the time of the segment (in seconds). Covers is a list of topics that is covered by the video segment. An example of a video annotation is the database:
A presentation is a sequence of segments. You will represent a presentation by a list of segment identifiers.
  1. Axiomatize a predicate
    presentation(MustCover, Maxtime, Segments).
    That is true if Segments is a presentation whose total running time is less than or equal to Maxtime seconds, such that all of the topics in the list MustCover are covered by a segment in the presentation. The aim of this predicate is to design presentations that cover a certain number of topics within a time limit. For example, given the query:
    cilog: ask presentation([welcome,skiing,robots], 90, Segs).
    should at least return the two answers (perhaps with the segments in the other order):
    Answer: presentation([welcome, skiing, robots], 90, [seg0, seg4]).
    Answer: presentation([welcome, skiing, robots], 90, [seg2, seg1]).
    Two procedures you may find useful are:
    % member(E,L) is true if E is in list L
    member(A,[H|L]) <-
    % notin(E,L) is true if E is not in list L
    notin(A,[B|L]) <-
       A \= B &
  2. What is required for part (a) is reasonably straightforward. However, this example domain will be used for future problems, so it is worthwhile thinking about what you may want in such a presentation design program. Assuming you have a good user interface and a way to actually view the presentations, list three things that the above program doesn't do that you may want in such a presentation system. [There is no right answer for this part, you need to be creative to get full marks].
  • Solution to part (a).
  • Solution to part (b).

  • Computational Intelligence online material, ©David Poole, Alan Mackworth and Randy Goebel, 1999

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