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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.
What are the different ways of specifying spline curve? Using a set of boundary conditions that are imposed on the spline. Using the state matrix that characteristics
Question: (a) Using suitable examples, explain the following basic principles of design: (i) Proximity (ii) Repetition (iii) Contrast (iv) Alignment. (b) Color h
Seed fill algorithm A seed fill algorithm starts with a known initial interior point of the polygon and spreads out to determine other interior points to fill the given closed
structure of display file
Question 1 Discuss the general properties of analog signal Question 2 Differentiate images and graphics Question 3 Explain the video compression standard H.263
Types of Polygon tables curves and surfaces Attribute tables: This table has object information as transparency, surface reflexivity, texture features of an object in the vi
Animator Studio and Elastic Reality - Computer Animation Animator Studio It is a cell animation program from AutoDesk. Its predecessor was Animator Pro for PC DOS. Anima
Important points about Types of light resources - illumination model Note: While we see an opaque non-luminous object, we notice reflected light by one surface of the object
What is the best selection method in photoshop
Archeology: along with the advent of the computer, the archeologist has obtained a new tool, computer animation. An object-model can be made comparatively quick and without any we
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