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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.
Passive Computer Animations: That has no option for users to utilize computer graphics today is mostly interactive for example: movies. Frame animation is non-interactive anim
Importance of Multimedia: Multimedia will help in spreading the information age to millions of teachers/learners. Today Multimedia educational computing is fastest raising markets
Hypertext/media and Human Memory Humans associate pieces of information along with other information and make complicated knowledge structures. Thus, this is also said as the h
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What is a dot size and interdot distance? Dot size may be explained as the diameter of a single dot on the devices output. Dot size is also known as the Spot size. Interdo
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