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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.
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Question 1 Briefly explain types of animation Question 2 Briefly explain steps involved in animation process Question 3 What is Layout? Explain two types of layout
Vecgen algorithm
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What are the side effects due to scan conversion? How can the effects be minimized? Aliasing Effects (Side effects of scan conversion) Scan conversion is essentially a syst
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Important points for Bresenham Line Generation Algorithm Note: Bresenhams algorithm is generalised to lines along with arbitrary slopes with identifying the symmetry
QUESTION (a) Suppose that you have been assigned to re-engineer the existing systems for a company. Do you think that design patterns can be applied to these existing systems?
what is normalization transformation?why is it needed and important?give simple example also.
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