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We present a new tool to help students make use of video recordings of traditional chalkboard and whiteboard lectures. Our tool provides a compact summary of a chalkboard lecture in the form of a set of slides, and an interactive environment for electronic note-taking in real time while watching a lecture in class or during review. Key to the processing of a chalkboard video by our system is the removal...
We present compression related methods that can be used within a larger system referred to as a passive assistant. The system receives information from a mobile device, as well as information from an image database such as Google Street View, and employs image processing to provide useful information about a local urban environment to a visually impaired user. The first stage acquires and computes...
We present a framework to recognize objects in images based on their silhouettes. In previous work we developed translation and rotation invariant classification algorithms for textures based on Fourier transforms in the polar space followed by dimensionality reduction. Here we present a new approach to recognizing shapes by following a similar classification step with a "soft" retrieval...
Texture identification can be a key component in Content Based Image Retrieval systems. Although formal definitions of texture vary in the literature, it is commonly accepted that textures are naturally extracted and recognized as such by the human visual system, and that this analysis is performed in the frequency domain. In this work, a feature extraction method is presented which employs a discrete...
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