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The image classification is the process to categorize images into one of several classes or categories. In this project, there are seven categories (Piano, Kangaroo, Strawberry, Sunflower, Airplane, Face and Leopard). Classification requires training for each image category. The image categories are learned through a training process and an image is annotated in terms of the learned categories. Figure 1 shows the overall process of the image classification. This image classification can be used for automatic generation of keyword metadata and for efficient searching and leverage of archived content.
composite transformation
Rotation - 2-d and 3-d transformations Given a 2-D point P(x,y), that we want to rotate, along with respect to an arbitrary point A(h,k). Suppose P'(x'y') be the effect of ant
multimedia
Multimedia Tool Features General to nearly all multimedia tool platforms are various features for encapsulating the content, presenting the data, acquiring user input and cont
normalization in detail
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Sound Editing Programs; Sound editing tools for both digitized and MIDI sound; by that you see music and also hear it. Through drawing a representation of a sound in fine growths,
Illustration 1: How does the z-buffer algorithm find out which surfaces are hidden? Solution : Depth or Z-buffer algorithm employs a two buffer area each of two-dimensional ar
Types of Animation Systems - Computer Animation We have discussed above about the sequencing of animation is helpful in developing any animation. Such sequencing is more or le
Other curves - parabola and hyperbola Conic sections such as parabola and hyperbola are used in many instances such as in motion planning along a trajectory or in modelling the
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