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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.
normalization in detail
Important Points about the Frame Buffers 1) Within a frame buffer, information storage starts from top left corner and goes until the bottom right corner. 2) By using this
Question : (a) What do you meant by "solo a layer " in Adobe After Effects. Explain briefly how would you perform it. (b) Briefly explain the importance of an adjustment lay
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Q. Write a short note on area subdivision method for hidden surface removal. Ans. Area Subdivision This technique for hidden- surface removal is essentially an image- spac
why overstriking is harmful.justify
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