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您的检索式：作者名="Ru Congchong"
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| 1 | Collaborative image compression and classification with multi-task learning for visual Internet of Things显示文摘Widespread deployment of the Internet of Things(Io T)has changed the way that network services are developed,deployed,and operated.Most onboard advanced Io T devices are equipped with visual sensors that form the so-called visual Io T.Typically,the sender would compress images,and then through the communication network,the receiver would decode images,and then analyze the images for applications.However,image compression and semantic inference are generally conducted separately,and thus,current compression algorithms cannot be transplanted for the use of semantic inference directly.A collaborative image compression and classification framework for visual Io T applications is proposed,which combines image compression with semantic inference by using multi-task learning.In particular,the multi-task Generative Adversarial Networks(GANs)are described,which include encoder,quantizer,generator,discriminator,and classifier to conduct simultaneously image compression and classification.The key to the proposed framework is the quantized latent representation used for compression and classification.GANs with perceptual quality can achieve low bitrate compression and reduce the amount of data transmitted.In addition,the design in which two tasks share the same feature can greatly reduce computing resources,which is especially applicable for environments with extremely limited resources.Using extensive experiments,the collaborative compression and classification framework is effective and useful for visual IoT applications. | Bing DU Yiping DUAN Hang ZHANG Xiaoming TAO Yue WU Congchong RU | 2022 | Chinese Journal of Aeronautics2022，35，5： | 0 |
| 2 | A NEW UEP SCHEME FOR ROBUST VIDEO TRANSMISSION IN LDPC CODED MIMO-OFDM SYSTEM显示文摘In order to improve the video transmission performance in Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system,a new scheme,which integrates Multiple Description Coding (MDC),Low Density Parity Check (LDPC) coding and hybrid space time coding,is proposed in this letter. In particular,a hybrid space time coding algorithm is combined with LDPC codes to perform Unequal Error Protection (UEP) of MDC encoded video streams. Comparing with the UEP transmission with only LDPC codes,the proposed scheme achieves more than 1dB gain in terms of Signal to Noise Ratio (SNR) when the Peak Signal to Noise Ratio (PSNR) of reconstructed video is above 30dB. | Ru Congchong Zheng Haifeng Yin Liuguo Lu Jianhua Chen Changwen | 2007 | Journal of Electronics(China)2007，24，3： | 0 |
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