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Creators/Authors contains: "Redford, Jesse"

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  1. ; (, 2020 IEEE 4th International Conference on Image Processing, Applications and Systems (IPAS))
    null (Ed.)
    This paper offers a new feature-oriented compression algorithm for flexible reduction of data redundancy commonly found in images and videos streams. Using a combination of image segmentation and face detection techniques as a preprocessing step, we derive a compression framework to adaptively treat `feature' and `ground' while balancing the total compression and quality of `feature' regions. We demonstrate the utility of a feature compliant compression algorithm (FC-SVD), a revised peak signal-to-noise ratio PSNR assessment, and a relative quality ratio to control artificial distortion. The goal of this investigation is to provide new contributions to image and video processing research via multi-scale resolution and the block-based adaptive singular value decomposition. 
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  2. ; (, 2020 IEEE MIT Undergraduate Research Technology Conference (URTC))
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