Výsledky vyhľadávania - "Entropy coding"

End-to-End Optimized Versatile Image Compression With Wavelet-Like Transform Autor Ma, Haichuan, Liu, Dong, Yan, Ning, Li, Houqiang, Wu, Feng

“…Built on deep networks, end-to-end optimized image compression has made impressive progress in the past few years. Previous studies usually adopt a compressive…”
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Spatial–temporal attention enhanced high-ratio EEG compression using deep variational autoencoder and arithmetic coding Autor Wang, Xiangcun, Liao, Chuncheng, Wu, Xia, Zhang, Jiacai

“…Efficient storage and transmission of EEG data require high-ratio EEG compression. However, due to their limited capacity in removing statistical redundancy…”
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Quantization and Entropy Coding in the Versatile Video Coding (VVC) Standard Autor Schwarz, Heiko, Coban, Muhammed, Karczewicz, Marta, Chuang, Tzu-Der, Bossen, Frank, Alshin, Alexander, Lainema, Jani, Helmrich, Christian R., Wiegand, Thomas

“…The paper provides an overview of the quantization and entropy coding methods in the Versatile Video Coding (VVC) standard. Special focus is laid on techniques…”
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Causal Contextual Prediction for Learned Image Compression Autor Guo, Zongyu, Zhang, Zhizheng, Feng, Runsen, Chen, Zhibo

“…Over the past several years, we have witnessed impressive progress in the field of learned image compression. Recent learned image codecs are commonly based on…”
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Learned Image Compression with Gaussian-Laplacian-Logistic Mixture Model and Concatenated Residual Modules Autor Fu, Haisheng, Liang, Feng, Lin, Jianping, Li, Bing, Akbari, Mohammad, Liang, Jie, Zhang, Guohe, Liu, Dong, Tu, Chengjie, Han, Jingning

“…Recently deep learning-based image compression methods have achieved significant achievements and gradually outperformed traditional approaches including the…”
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Deep Lossy Plus Residual Coding for Lossless and Near-Lossless Image Compression Autor Bai, Yuanchao, Liu, Xianming, Wang, Kai, Ji, Xiangyang, Wu, Xiaolin, Gao, Wen

“…Lossless and near-lossless image compression is of paramount importance to professional users in many technical fields, such as medicine, remote sensing,…”
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High-capacity reversible data hiding in encrypted 3D mesh models based on multi-MSB prediction Autor Lyu, Wan-Li, Cheng, Lulu, Yin, Zhaoxia

“…Reversible data hiding in encrypted domain (RDH-ED) technology performs content encryption to guarantee the privacy of the original media and hide additional…”
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HAC++: Towards 100X Compression of 3D Gaussian Splatting Autor Chen, Yihang, Wu, Qianyi, Lin, Weiyao, Harandi, Mehrtash, Cai, Jianfei

“…3D Gaussian Splatting (3DGS) has emerged as a promising representation for novel view synthesis, boosting rapid rendering speed with high fidelity. However,…”
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OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression Autor Huang, Lila, Wang, Shenlong, Wong, Kelvin, Liu, Jerry, Urtasun, Raquel

“…We present a novel deep compression algorithm to reduce the memory footprint of LiDAR point clouds. Our method exploits the sparsity and structural redundancy…”
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Autoencoder for words Autor Liou, Cheng-Yuan, Cheng, Wei-Chen, Liou, Jiun-Wei, Liou, Daw-Ran

“…This paper presents a training method that encodes each word into a different vector in semantic space and its relation to low entropy coding. Elman network is…”
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Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression Autor Chen, Zhenghao, Gu, Shuhang, Lu, Guo, Xu, Dong

“…3D volumetric image processing has attracted increasing attention in the last decades, in which one major research area is to develop efficient lossless…”
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A Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition Autor Piho, Laura, Tjahjadi, Tardi

“…Emotion recognition using brain wave signals involves using high dimensional electroencephalogram (EEG) data. In this paper, a window selection method based on…”
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A Highly Pipelined and Highly Parallel VLSI Architecture of CABAC Encoder for UHDTV Applications Autor Fu, Chen, Sun, Heming, Zhang, Zhiqiang, Zhou, Jinjia

“…Recently, specifically designed video codecs have been preferred due to the expansion of video data in Internet of Things (IoT) devices. Context Adaptive…”
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TFANet: A Time-Frequency Aware Network With Joint Entropy Coding for High-Ratio EEG Compression Autor Wang, Xiangcun, Wu, Xi, Li, Yuan, Wu, Xia, Zhang, Jiacai

“…Objective: The transmission and storage of large-scale EEG data require high-ratio EEG compression. However, existing EEG compression methods struggle to…”
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Reversible data hiding in encrypted 3D mesh models via reference vertex circulation strategy Autor Liu, Jui-Chuan, Chang, Ching-Chun, Gao, Kai, Chang, Chin-Chen

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Ensemble Learning-Based Rate-Distortion Optimization for End-to-End Image Compression Autor Wang, Yefei, Liu, Dong, Ma, Siwei, Wu, Feng, Gao, Wen

“…End-to-end image compression using trained deep networks as encoding/decoding models has been developed substantially in the recent years. Previous work is…”
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3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation Autor Gu, Shuai, Hou, Junhui, Zeng, Huanqiang, Yuan, Hui, Ma, Kai-Kuang

“…3D point clouds associated with attributes are considered as a promising paradigm for immersive communication. However, the corresponding compression schemes…”
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Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG Autor Yuan, Xin, Haimi-Cohen, Raziel

“…We present an end-to-end image compression system based on compressive sensing. The presented system integrates the conventional scheme of compressive sampling…”
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Optimizing information capacity in modular neural networks through excitatory and inhibitory connectivity Autor Khanjanianpak, Mozhgan, Valizadeh, Alireza

“…Modularity is a key principle in complex networks like the brain, enhancing scalability, flexibility, and robustness. This study investigates how modularity…”
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Practical Full Resolution Learned Lossless Image Compression Autor Mentzer, Fabian, Agustsson, Eirikur, Tschannen, Michael, Timofte, Radu, Van Gool, Luc

“…We propose the first practical learned lossless image compression system, L3C, and show that it outperforms the popular engineered codecs, PNG, WebP and JPEG…”
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