By Gerhard Sagerer, Heinrich Niemann
ISBN-10: 1489919139
ISBN-13: 9781489919137
ISBN-10: 1489919155
ISBN-13: 9781489919151
Figure 1.1. an out of doors scene "A bus is passing 3 vehicles that are parking among bushes along with the line. homes having storeys are covered up on the road. three four advent determine 1.2. An meeting scene There looks a small open position among the crowd of homes within the foreground and the shop within the background". In such or an identical approach the content material of the ordinary scene proven above will be defined. it truly is relatively effortless to offer the sort of brief description. the matter is a bit extra advanced for the second one snapshot. to start with, it may be acknowledged that the picture doesn't express a regular scene. apparently as one of those artificial surrounding. yet each person can settle for the subsequent statements approximately this photograph: 1. the picture exhibits a photo of an meeting line. 2. The robotic in entrance is screwing. three. there isn't any individual within the operating sector of the robots. four. All gadgets at the conveyor belt are labored on by means of robots. There aren't any unfastened gadgets at the belt.
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Additional info for Semantic Networks for Understanding Scenes
Example text
The main advantage of this system structure is that it emphasizes the close connection between the representation of declarative knowledge and results. Because of the short term character of results we do not denote this kind of data by the term "knowledge". This term will only be used for data and operations which are relevant for, at least, more than one analysis process. Declarative knowledge in this sense and derived hypotheses are united by the term Working Memory of the system. 7. General Architecture of an Expert System Around the kernel of a knowledge based system and of a pattern analysis two additional modules or components are grouped which supply user interfaces and tools for knowledge acquisition.
In an image analysis system each has to cover all the levels of the stratified model. But none of the levels is completely covered by one module. Knowledge, Methods, Results and Control of each level are distributed to the four modules. The basic structure for the working phase of knowledge based systems is quite similar to the principal pattern analysis architecture. Following [192] Fig. 6 illustrates such a basic structure. The kernel of the system is formed by the two components which store the expert knowledge about the application, related expert knowledge on the one side and the inference mechanisms which here include the processing strategy on the other side.
The basic component of a segmentation object in the context of computer vision is some geometrical object (or unit of visual perception) defined by its parts, attributes, and relations; in addition, it is assumed that a judgment of the segmentation object is 43 44 Segmentation computed which measures the quality of the result. A segmentation object in the context of speech understanding would represent some unit of auditory perception, again defined by its parts, attributes, and relations. Some examples should clarify the above terms.
Semantic Networks for Understanding Scenes by Gerhard Sagerer, Heinrich Niemann
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