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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.
Cohen Sutherland Line Clippings Algorithm The clipping problem is identified by dividing the region surrounding the window area into four segments Up as U, Down as D, Left as
Art: it just like conventional animation, computer animation is additionally a type of art. A multitude of results can be created on a computer than on a piece of paper. An artist
Explain the advantage and disadvantage of Raster CRT Advantages Allows solids, not just wireframes Leverages low-cost CRT technology (i.e., TVs) Bright, i.e.
Multimedia Business: Even fundamental office applications as a MS word processing package or a MS Excel spreadsheet tool turns into a powerful tool along with the aid of mult
Input and Hardcopy Devices This section gives a brief introduction to the functioning of some well known input and hardcopy devices. Input devices include keyboard, mouse, sca
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Bezier Surfaces - Modeling and Rendering Two sets of Bezier curve can be utilized to design an object surface by identifying by an input mesh of control points. The Bézier su
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