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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.
Uses for GIF and JPEG Files: Microsoft Internet Explorer, Netscape Navigator and most the other browsers maintain both JPEG and GIF graphics. Theoretically, you could util
Lamberts Cosine Law - Diffuse Reflection "LAMBERTS COSINE LAW" specify that the radiant energy from any minute surface area dA in any direction θ relative to the surface usual
Illustration of a Clipping window ABCD is placed as follows: A (100, 10), B (160, 10, C (160, 40), D (100, 40) By using Sutherland-Cohen clipping algorithm determine the vis
Multimedia as the name suggests MULTI and MEDIA utilizes some media for example: text, graphics, audio, video and also animation, to convey information. Multimedia also consider to
AVI CODEC Formats: Various AVI file formats other than the DV Types 1 and 2 formats are there discussed earlier. All such the other formats involve the utilization of Compressor o
normalization in detail
Basic Ray Tracing Algorithm - Polygon Rendering The Hidden-surface removal is the most complete and most versatile method for display of objects in a realistic fashion. The co
How avar values generate to get realistic movement There are numerous ways of generating avar values to get realistic movement. One way is to use markers on a real person (or w
Local Illumination Model - Polygon Rendering In this only light that is directly reflected by a light source through a surface to our eyes is observed. No explanation is taken
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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