By Su, Hartung, Girod
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Extra resources for A Channel Model for a Watermark Attack
This conjecture can be answered in two ways. First, as we have noticed, in non-naive models of imagery, it is accepted that the memories of images are structured in terms of their part-whole organization. Hence, a search process may be guided by the constraint that a particular part should be present in an image that is searched. Second, if the discussion is seen from a connectionist point of view, it is easily accepted that images are content-addressable: several neural network models can recognize a stored pattern from an activation of some of its parts.
After Pomerantz, Sager and Stoever (1977), such properties are usually called "emergent features'. In the context of the present discussion, one may wonder if emergent features are picked as microfeatures or if they are encoded as the combination of their constituents. Another question of relevance is if the simultaneous activation of microfeatures can give raise psychologically to emergent features. For example, suppose that a subject is confronted with the following image: Figure II. 1 The question raises if, under conditions of distracted attention, the activation of the features corresponding to the right angle and to the diagonal can give raise to the illusion of a triangle.
For each independently stored detail or part of an image, it must be stored where it has to be attached on the skeleton of the image. ii. For each such part or detail, a set of procedures has to be stored that makes possible its detection in a mental image that has been loaded on the surface matrix. iii. Each long term memory representation of a stored image or of a part must be associated with a name. iv. The object's size must be specified. v. Finally, also the name of the most frequently associated superordinate category has to stored (note 7).