Suchergebnisse - image semantic coding

Toward Semantic Communications: Deep Learning-Based Image Semantic Coding von Huang, Danlan, Gao, Feifei, Tao, Xiaoming, Du, Qiyuan, Lu, Jianhua

“… We propose an reinforcement learning based adaptive semantic coding (RL-ASC) approach that encodes images beyond pixel level …”
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Object–attribute–relation model-based semantic coding for image transmission von Li, Chenxing, Duan, Yiping, Tao, Xiaoming, Hu, Shuzhan, Yang, Qianqian, Chen, Changwen

“… ) semantic knowledge base. The sender uses the model parameters and prior knowledge in the knowledge base to drive the OAR extraction model to encode the image …”
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Generative Joint Source-Channel Coding for Semantic Image Transmission von Erdemir, Ecenaz, Tung, Tze-Yang, Dragotti, Pier Luigi, Gunduz, Deniz

“… Recent works have shown that joint source-channel coding (JSCC) schemes using deep neural networks (DNNs …”
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Improving Learning-Based Semantic Coding Efficiency for Image Transmission via Shared Semantic-Aware Codebook von Zhang, Hongwei, Tao, Meixia, Sun, Yaping, Letaief, Khaled B.

“… (NNs). This paper introduces a codebook-assisted semantic coding method to improve JSCC performance for image transmission …”
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Robust Image Semantic Coding With Learnable CSI Fusion Masking Over MIMO Fading Channels von Xie, Bingyan, Wu, Yongpeng, Shi, Yuxuan, Zhang, Wenjun, Cui, Shuguang, Debbah, Merouane

“… ) framework, where CSI is treated as side information by the semantic extractor to enhance the semantic coding …”
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Reinforcement Learning-Based Layered Lossy Image Semantic Coding von Yan, Jun, Wang, Youfang, Miao, Yongyi, Hu, Die

“… This paper proposes a novel reinforcement learning-based layered semantic coding (RL-SC) method aimed at optimizing image communication systems under bandwidth constraints …”
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Deep Learning-Based Image Semantic Coding for Semantic Communications von Huang, Danlan, Tao, Xiaoming, Gao, Feifei, Lu, Jianhua

“… This paper presents the Generative Adversarial Networks (GANs)-based image semantic coding, the goal of which is semantic exchange rather than symbol transmission …”
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Semantic Structured Image Coding Framework for Multiple Intelligent Applications von Sun, Simeng, He, Tianyu, Chen, Zhibo

“… tasks such as classification, recognition, detection, etc. Therefore, in this article, we propose a learning-based semantically structured image coding (SSIC …”
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Semantic and Saliency-Aware Scalable Image Coding Toward Human-Machine Collaboration von Cui, Tengyao, Wang, Yongfang, Wang, Yihan, Fang, Zhijun

“… In this paper, we investigate task-oriented high- and low-level representations, and how they can be used to construct a scalable coding model for human-machine collaboration …”
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Whole Semantic Sparse Coding Network for Remote Sensing Image-Text Retrieval von Zheng, Chengyu, Wen, Qi, Li, Xiu, Yang, Chenxue, Nie, Jie, Guo, Yiyun, Qian, Yuntao, Wei, Zhiqiang

“… In this article, a whole semantic sparse coding network (WSSCN) is proposed for RS image-text retrieval to build a complete and reliable features description for further improving the performance of the retrieval model …”
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Semantic-Preserving Image Coding Based on Conditional Diffusion Models von Pezone, Francesco, Musa, Osman, Caire, Giuseppe, Barbarossa, Sergio

“… In this paper, we propose a novel semantic image coding scheme that preserves the semantic content of an image, while ensuring a good trade-off between coding rate and image quality …”
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Layered and scalable image coding with semantic features for human and machine von Wei, Jiao, An, Ping, Wang, Shipei, Huang, Kunqiang, Yang, Chao, Huang, Xinpeng

“… To mitigate this redundancy and enhance compression performance, we propose a layered and scalable end-to-end image codec consisting of semantic layer for machine inference and reconstructed layer …”
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Hierarchical Multi-Granularity Joint Source-Channel Coding for Image Semantic Transmission von Sun, Xiaochuan, Yu, Jike, Wu, Changcheng, Li, Yingqi, Zhang, Haijun

“… Deep Joint Source-Channel Coding (DEEPJSCC) is an effective method for realizing semantic communication …”
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Task-Oriented Scene Graph-Based Semantic Communications With Adaptive Channel Coding von Sun, Shiqi, Qin, Zhijin, Xie, Huiqiang, Tao, Xiaoming

“… In this paper, we tackle these challenges by proposing a task-oriented scene graph-based semantic communication system with adaptive channel coding, named GRACE, to perform image retrieval task …”
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Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication von Zhang, Wenyu, Zhang, Haijun, Ma, Hui, Shao, Hua, Wang, Ning, Leung, Victor C. M.

“… ). However, existing DeepJSCC-based semantic communication frameworks still cannot achieve adaptive code rates for different channel SNRs and image contents, which reduces its flexibility and bandwidth efficiency …”
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LMM-driven Semantic Image-Text Coding for Ultra Low-bitrate Learned Image Compression von Murai, Shimon, Sun, Heming, Katto, Jiro

“… Supported by powerful generative models, low-bitrate learned image compression (LIC) models utilizing perceptual metrics have become feasible …”
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Semantic-Aware Visual Decomposition for Image Coding von Chang, Jianhui, Zhang, Jian, Li, Jiguo, Wang, Shiqi, Mao, Qi, Jia, Chuanmin, Ma, Siwei, Gao, Wen

“… In this paper, we propose a novel image coding framework with semantic-aware visual decomposition towards extremely low bitrate compression …”
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Neural Multiple Description Image Coding with Semantic Polarization for Lossy Channels von Liu, Yajing, Zhang, Weicheng, Chen, Lingyu, Hong, Xuemin, Wang, Xianbin

“… Multiple description coding (MDC) is a type of error-resilient source coding that is advantageous for communications over channels with high loss and long delays …”
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Efficient JPEG-AI Image Coding for Remote Sensing Semantic Segmentation von Zhang, Junxi, Pan, Xiang, Chen, Zhenzhong, Liu, Shan

“… This letter investigates an efficient neural image compression standard, JPEG-AI-based self-supervised RS image compression approach, and SS-JPEG-AI, for semantic segmentation tasks …”
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SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations von Yan, Ning, Gao, Changsheng, Liu, Dong, Li, Houqiang, Li, Li, Wu, Feng

“… We address the requirement of image coding for joint human-machine vision, i.e., the decoded image serves both human observation and machine analysis/understanding …”
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