Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wireless that focus on abstract symbols, approaches attempt achieve better efficiency by only sending semantic-related information source data. this paper, we consider semantic-oriented which transmits semantic-relevant over channel recognition task, a compact additional set semantic-irrelevant reconstruction task....

Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years. In this paper, we propose a generative model further improve the efficiency of image transmission and protect private information. particular, transmitter extracts interpretable latent representation from original by exploiting GAN inversion method. We also employ privacy filter knowledge base erase information replace it with natural features base. The simulation...

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wireless that focus on abstract symbols, approaches attempt achieve better efficiency by only sending semantic-related information source data. this paper, we consider semantic-oriented text transmission. We propose a novel end-to-end DL-based transceiver, which includes an attention-based soft alignment module...

As three-dimensional (3D) data acquisition devices become increasingly prevalent, the demand for 3D point cloud transmission is growing. In this study, we introduce a semanticaware communication system robust classification that capitalizes on advantages of pre-trained Point-BERT models. Our proposed method comprises four main components: semantic encoder, channel decoder, and decoder. By employing two-stage training strategy, our facilitates efficient adaptable learning tailored to specific...

As three-dimensional acquisition technologies like LiDAR cameras advance, the need for efficient transmission of 3D point clouds is becoming increasingly important. In this paper, we present a novel semantic communication (SemCom) approach cloud transmission. Different from existing methods that rely on downsampling and feature extraction compression, our utilizes parallel structure to separately extract both global local information clouds. This system composed five key components: encoder,...

As three-dimensional (3D) data acquisition devices become increasingly prevalent, the demand for 3D point cloud transmission is growing. In this study, we introduce a semantic-aware communication system robust classification that capitalizes on advantages of pre-trained Point-BERT models. Our proposed method comprises four main components: semantic encoder, channel decoder, and decoder. By employing two-stage training strategy, our facilitates efficient adaptable learning tailored to...

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wireless that focus on abstract symbols, approaches attempt achieve better efficiency by only sending semantic-related information source data. this paper, we consider semantic-oriented which transmits semantic-relevant over channel recognition task, a compact additional set semantic-irrelevant reconstruction task....

Deep learning (DL) based semantic communication methods have been explored for the efficient transmission of images, text, and speech in recent years. In contrast to traditional wireless that focus on abstract symbols, approaches attempt achieve better efficiency by only sending semantic-related information source data. this paper, we consider semantic-oriented text transmission. We propose a novel end-to-end DL-based transceiver, which includes an attention-based soft alignment module...

Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years. In this paper, we propose a generative model further improve the efficiency of image transmission and protect private information. particular, transmitter extracts interpretable latent representation from original by exploiting GAN inversion method. We also employ privacy filter knowledge base erase information replace it with natural features base. The simulation...

With the more and common use of infrared video in life, people have higher requirements for imaging frame rates. Better quality images provide a better basis subsequent target recognition, compression decompression operations. Therefore, it is great significance to effectively obtain high rate improve images. As an effective means conversion, enhancement technology has become research hotspot direction computer vision. However, existing interpolation methods based on are all implemented...