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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.
Explain window to view port transformation
Example1: Translate a square ABCD along with the coordinates as: A(0,0),B(5,0),C(5,5),D(0,5) via 2 units in x-direction and 3 units in y-direction. Solution: We can show the
Calculate how many customers there are for each lawn size. Name this sheet
what is polygonal rendering
QUESTION (a) Give some ways you can change the magnification of a document? (b) Give three ways to display a panel? (c) Identify the differences between Selection tool an
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
2. Describe how the Bresenham rasterisation algorithm is advantageous when compared to any other existing method.
Question: (a) Describe the term ‘Multimedia'. (b) Briefly describe two main reasons to use ‘Compression' in Multimedia. (c) All Multimedia development teams could have
define composite transformation
Important points about the bezier curves - modeling and rendering 1) Generalizing the idea of Bezier curve of degree at n based upon n+1 control point p0,.....pn P(0)= P 0
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