Now showing items 1-6 of 6

    • Coding for Data Analytics: New Information Distances 

      Sajedi, Ahmad (University of Waterloo, 2020-09-03)
      Distance plays a vital role in many applications of data analytics. For instance, in image retrieval, organization, and management, one needs a proper similarity distance to measure the perceptual similarity between any ...
    • Context Adaptive Space Quantization for Image Coding 

      Erbrecht, Jeffrey Brian (University of Waterloo, 2016-01-18)
      One of the most widely used lossy image compression formats in the world is JPEG. It operates by splitting an image into blocks, applying a frequency transform to each block, quantizing each transformed block, and entropy ...

      Shaterian Bidgoli, Sepideh (University of Waterloo, 2021-01-18)
      Deep Neural Networks (DNNs) demonstrate excellent performance in many Computer Vision (CV) applications such as image classification. To meet storage/bandwidth requirements, the input images to these CV applications are ...
    • Fast Intra-frame Coding Algorithm for HEVC Based on TCM and Machine Learning 

      Shan, Yi (University of Waterloo, 2016-09-27)
      High Efficiency Video Coding (HEVC) is the latest video coding standard. Compared with the previous standard H.264/AVC, it can reduce the bit-rate by around 50% while maintaining the same perceptual quality. This performance ...
    • Grammar-Based Representations of Large Sparse Binary Matrices 

      Bian, Jingyun (University of Waterloo, 2016-10-26)
      Large sparse matrices representation is a fundamental problem in big data processing and analysis. In some applications dealing with large sparse matrices, the I/O of these sparse matrices is the bottleneck of the whole ...
    • Image/Video Compression: Human and Computer Vision Perspectives 

      Amer, Hossam (University of Waterloo, 2020-05-15)
      As we start a new decade, image and video compression should further improve to satisfy each of the human and computer visions. Human and computer visions have different perspectives on the perceived images and videos, ...


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