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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 the working of Animators Animators want to create a human image that moves and interacts with its background in such a way that viewers can't tell if a specific scene i
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2D Clipping Algorithms Clipping is an operation that eliminates invisible objects from the view window. To understand clipping, recall that when we take a snapshot of a scene,
AUDIO AND VIDEO: Audio and video are working as eye and ear of multimedia. Both of them are heavily contributing to any type of multimedia application. Here we discuss something r
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Parametric Continuity Conditions To ensure a smooth transitions from one section of a piecewise parametric curve to the next, we can impose various continuity conditions at the
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what is raster scan systems
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