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The aim of a Content-Based Image Retrieval (CBIR) system, also known as Query by Image Content (QBIC), is to help users to retrieve relevant images based on their contents. CBIR technologies provide a method to find images in large databases by using unique descriptors from a trained image. The image descriptors include texture, color, intensity and shape(More)
As mobile robots become more prevalent in our society, there are numerous potential applications for them. However, current educational opportunities tend to focus on the robotics aspects rather than higher-level applications. In this project, we are developing a system that takes care of the robotics aspects and provides a fully-capable yet fully(More)
The current work proposes a methodology for recognition of flags of the countries of the world from their digital images. Statistical features extracted from the color channels are combined together to generate the feature vector for discrimination between the flags. Since colors and their layouts can be quite similar between various flags, identifying them(More)
This paper proposes a video encryption algorithm using RSA and Pseudo Noise (PN) sequence, aimed at applications requiring sensitive video information transfers. The system is primarily designed to work with files encoded using the Audio Video Interleaved (AVI) codec, although it can be easily ported for use with Moving Picture Experts Group (MPEG) encoded(More)
Due to the revolutionary explosion of internet and digital technologies, the requisite to have a system that organizes the copiously available digital images for easy categorization and retrieval has been imposed. Nowadays, Content Based Image Retrieval (CBIR) has become a solution and source of accurate and fast retrieval. CBIR uses the visual contents to(More)
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