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 ...

Abstract: In the past two decades, hardware and software have advanced quickly due to technological advancement. Global data distribution and storage have become simpler as a result. However, the ...

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 ...

Abstract: Efficient Lossless Records Compression AdapuseAritadaptive arithmetic coding approach uses an entropy coder to safely and appropriately encode facts. This method works by supplying a ...

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 ...

A bitwise operator is a character that represents an action taken on data at the bit level, as opposed to bytes or larger units of data. More simply put, it is an operator that enables the ...

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 ...

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