The deepest compression algorithms don't just shrink data, they learn its hidden structure in real time. This is the elegant ...

ABSTRACT: Data compression plays a key role in optimizing the use of memory storage space and also reducing latency in data transmission. In this paper, we are interested in lossless compression ...

TensorFlow Compression (TFC) contains data compression tools for TensorFlow. You can use this library to build your own ML models with end-to-end optimized data compression built in. It's useful to ...

This study proposes a novel method to compress and decompress the 3D models for safe transmission and storage. The 3D models are first extracted to become 3D point clouds, which would be classified by ...

We consider the attributes of a point cloud as samples of a vector-valued volumetric function at discrete positions. To compress the attributes given the positions, we compress the parameters of the ...

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Abstract: Context-based adaptive arithmetic coding (CAAC) has high coding efficiency and is adopted by the majority of advanced compression algorithms. In this paper, five new techniques are proposed ...

We build a state model of the DC coefficients of the entire image. On each 8x8 block in the image, we perform DCT, quantization, and run length encoding on the resulting coefficients. Normally ...