video annotation requires a logical approach to story telling
After reading this chapter you should be able to explain the difference between content and meta information, to mention relevant content parameters for audio, to characterize the requirements for video libraries, to define an annotation logic for video, and to discuss feature extraction in samples of musical material.
Current technology does not allow us to extract information automatically from arbitrary media objects. In these cases, at least for the time being, we need to assist search by annotating content with what is commonly referred to as meta-information.
In this chapter, we will look at two more media types, in particular audio and video. Studying audio, we will learn how we may combine feature extraction and meta-information to define a data model that allows for search. Studying video, on the other hand, will indicate the complexity of devising a knowledge representation scheme that captures the content of video fragments.
As a project, think of implementing musical similarity matching,
or developing an application retrieving video fragments
using a simple annotation logic.
Opening this chapter are examples of
design of the 20th century,
posters to announce a public event like
a theatre play, a world fair, or a festival.
In comparison to the art works
of the previous chapter,
these designs are more strongly expressive
and more simple and clear in their message.
Yet, they also show a wide variety of styles
and rethorics to attract the attention of the audience.
Both the faces and the mouth are examples of
using body parts in contemporary art.
The page of the comic book version of City of Glass,
illustrates how the 'logic' of a story can be visualised.
As an exercise, try to annoyaye the sequence of frames
from the City of Glass can be described
using the annotation logic you learned in this chapter.
The modern art examples should interesting by themselves.
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