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IEEE Workshop on Signal processing Advances in Wireless Communications (SPAWC)

作者： Renwang Li Xiaodan Shao Shu Sun Meixia Tao Rui Zhang Department of Electronic Engineering Shanghai Jiao Tong University Shanghai China Shanghai Key Laboratory of Digital Media Processing and Transmission Shanghai Jiao Tong University Shanghai China School of Science and Engineering Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China Department of Electrical and Computer Engineering National University of Singapore Singapore

This paper investigates an intelligent reflecting surface (IRS) aided millimeter-wave integrated sensing and communication (ISAC) system. Specifically, based on the passive beam scanning in the downlink, the IRS finds the optimal beam for reflecting the signals from the base station to a communication user. Meanwhile, the IRS estimates the angle of a nearby target based on its echo signal received by the sensing elements mounted on the IRS (i.e., semi-passive IRS). We propose an ISAC protocol for achieving the above objective via simultaneous (beam) training and sensing (STAS). Then, we derive the achievable rate of the communication user and the Cramer-Rao bound (CRB) of the angle estimation for the sensing target in closed-form. The achievable rate and CRB exhibit different performance against the duration of beam scanning. Specifically, the average achievable rate initially rises and subsequently declines, while the CRB monotonically decreases. Consequently, the duration of beam scanning should be carefully selected to balance communication and sensing performance. Simulation results have verified our analytical findings and shown that, thanks to the efficient use of downlink beam scanning signal for simultaneous communication and target sensing, the STAS protocol outperforms the benchmark protocol with orthogonal beam training and sensing.

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Efficient VVC Intra Prediction Based on Deep Feature Fusion and Probability Estimation

arXiv

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arXiv 2022年

作者： Zhao, Tiesong Huang, Yuhang Feng, Weize Xu, Yiwen Kwong, Sam The Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information College of Physics and Information Engineering Fuzhou University Fuzhou350108 China The Peng Cheng Laboratory Shenzhen518055 China The Department of Computer Science City University of Hong Kong Hong Kong

The ever-growing multimedia traffic has underscored the importance of effective multimedia codecs. Among them, the up-to-date lossy video coding standard, Versatile Video Coding (VVC), has been attracting attentions of video coding community. However, the gain of VVC is achieved at the cost of significant encoding complexity, which brings the need to realize fast encoder with comparable Rate Distortion (RD) performance. In this paper, we propose to optimize the VVC complexity at intra-frame prediction, with a two-stage framework of deep feature fusion and probability estimation. At the first stage, we employ the deep convolutional network to extract the spatial-temporal neighboring coding features. Then we fuse all reference features obtained by different convolutional kernels to determine an optimal intra coding depth. At the second stage, we employ a probability-based model and the spatial-temporal coherence to select the candidate partition modes within the optimal coding depth. Finally, these selected depths and partitions are executed whilst unnecessary computations are excluded. Experimental results on standard database demonstrate the superiority of proposed method, especially for High Definition (HD) and Ultra-HD (UHD) video sequences. Copyright © 2022, The Authors. All rights reserved.

关键词： Video signal processing

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Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning

arXiv

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arXiv 2022年

作者： Chen, Weiling Lin, Rongfu Liao, Honggang Zhao, Tiesong Gu, Ke Le Callet, Patrick Fujian Key Lab for Intelligent Processing and Wireless Transmission of Media Information Fuzhou University Fuzhou350108 China Peng Cheng Laboratory Shenzhen518000 China The Faculty of Information Technology Beijing University of Technology Engineering Research Center of Intelligent Perception and Autonomous Control Ministry of Education Beijing Key Laboratory of Computational Intelligence and Intelligent System Beijing Artificial Intelligence Institute Beijing100124 China Équipe Image Perception et Interaction Laboratoire des Sciences du Numérique de Nantes Université de Nantes France

The widespread image applications have greatly promoted the vision-based tasks, in which the Image Quality Assessment (IQA) technique has become an increasingly significant issue. For user enjoyment in multimedia systems, the IQA exploits image fidelity and aesthetics to characterize user experience;while for other tasks such as popular object recognition, there exists a low correlation between utilities and perceptions. In such cases, the fidelity-based and aesthetics-based IQA methods cannot be directly applied. To address this issue, this paper proposes a utility-oriented IQA in object recognition. In particular, we initialize our research in the scenario of underwater fish detection, which is a critical task that has not yet been perfectly addressed. Based on this task, we build an Underwater Image Utility Database (UIUD) and a learning-based Underwater Image Utility Measure (UIUM). Inspired by the top-down design of fidelity-based IQA, we exploit the deep models of object recognition and transfer their features to our UIUM. Experiments validate that the proposed transfer-learning-based UIUM achieves promising performance in the recognition task. We envision our research provides insights to bridge the researches of IQA and computer vision. Copyright © 2022, The Authors. All rights reserved.

关键词： Multimedia systems

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Deep Learning Methods for Calibrated Photometric Stereo and Beyond

arXiv

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arXiv 2022年

作者： Ju, Yakun Lam, Kin-Man Xie, Wuyuan Zhou, Huiyu Dong, Junyu Shi, Boxin School of Electrical and Electronic Engineering Nanyang Technological University Singapore The Department of Electrical and Electronic Engineering The Hong Kong Polytechnic University Hong Kong The Research Institute for Future Media Computing Shenzhen University Shenzhen China The Department of Informatics University of Leicester Leicester United Kingdom The Faculty of Information Science and Engineering The Institute for Advanced Ocean Study Ocean University of China Qingdao China The National Key Laboratory for Multimedia Information Processing National Engineering Research Center of Visual Technology School of Computer Science Peking University Beijing China

Photometric stereo recovers the surface normals of an object from multiple images with varying shading cues, i.e., modeling the relationship between surface orientation and intensity at each pixel. Photometric stereo prevails in superior per-pixel resolution and fine reconstruction details. However, it is a complicated problem because of the non-linear relationship caused by non-Lambertian surface reflectance. Recently, various deep learning methods have shown a powerful ability in the context of photometric stereo against non-Lambertian surfaces. This paper provides a comprehensive review of existing deep learning-based calibrated photometric stereo methods utilizing orthographic cameras and directional light sources. We first analyze these methods from different perspectives, including input processing, supervision, and network architecture. We summarize the performance of deep learning photometric stereo models on the most widely-used benchmark data set. This demonstrates the advanced performance of deep learning-based photometric stereo methods. Finally, we give suggestions and propose future research trends based on the limitations of existing models. Copyright © 2022, The Authors. All rights reserved.

关键词： Light sources

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Research on Video Motion Characteristics Extraction and Description Based on Human visual Characteristics 2

Research on Video Motion Characteristics Extraction and Desc...

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2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Ying Zhou Yongsheng Liang Wei Liu Lixia Zhao Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen Institute of Information Technology

With the rapid development of Internet and multimedia, there is new challenge on streaming media processing and transmission. On one hand, the demand for the quantity and quality of multimedia resourc

ISBN: (纸本)9781467389808

关键词： visualization Streaming media Video sequences visual perception Market research Standards Complexity theory

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Saliency region and motion characteristics combined video quality assessment

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Journal of Information Hiding and Multimedia Signal processing 2016年第4期7卷 881-888页

作者： Zhou, Ying Liang, Yongsheng Liu, Wei He, Cheng Zhu, Yue Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen Institute of Information Technology Shenzhen518172 China CNNC Lanzhou Uranium EnrichmentCo. Ltd Lanzhou730060 China

In order to accurately evaluate the video quality and make it consistent with the subjective evaluation result, a saliency region and motion characteristics combined video quality assessment is proposed in this paper. This method is based on traditional SSIM and improves its assessment performance. According to the relationship between human visual attention and video’s region of saliency, frame saliency is weighted by spatial saliency and temporal motion characteristics, in which the spatial saliency is extracted by spectrum analysis and the temporal one got by motion visual attention model. This saliency is weighted by SSIM index for single frame quality assessment. Finally, based on HVS characteristics and motion characteristics, the entire video quality SMW-SSIM can be got by weighting single-frame quality. Experiment results prove that this method is faster, more convenient and accurate than other SSIM-based assessments. © 2016.

关键词： Spectrum analysis

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An improved non-linear ARED algorithm based on queue length 4

An improved non-linear ARED algorithm based on queue length

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4th International Conference on Multimedia Technology, ICMT 2015

作者： Zhou, Ying Zhang, Jihong Liu, Wei Liang, Yongsheng Hu, Tao Ren, Xianyi Chen, Xiaoping College of Information Engineering Shenzhen University Shenzhen China Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen Institute of Information Technology Shenzhen China SZMOBI Shenzhen Company Shenzhen China

ISBN: (纸本)9781138027947

Active queue management algorithm can effectively control the network congestion, among which ARED and its improved algorithm has been widely used in recent years. In order to timely response to unexpected network congestion and match the non-linear relationship between packet loss rate and queue length, this paper improved ARED algorithm and proposed a queue length based nonlinear ARED algorithm. This algorithm was analyzed and compared with others in NS2 simulation environment. Experimental results show that compared to other ARED algorithm, this algorithm can guarantee the stability of the queue, respond to unexpected network congestion timely, reduce drop rate and improve network throughput. © 2015 Taylor & Francis Group.

关键词： Queueing theory

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Video motion characteristics based spatial-temporal salient region extraction method

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Journal of Information Hiding and Multimedia Signal processing 2015年第2期6卷 225-233页

作者： Zhou, Ying Zhang, Ji-Hong Liang, Yong-Sheng Liu, Wei College of Information Engineering Shenzhen University Shenzhen518060 China Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen Institute of Information Technology Shenzhen518172 China

The human eyes only observe the salient regions of the video. According to this, the motion characteristics based spatial-temporal salient region extraction method was proposed. Spatial saliency map was extracted by analyzing the log spectrum of each frame in the frequency domain. Temporal saliency map was obtained by global motion estimation, block matching and then Gaussian filter. According to the human visual characteristics and the subjective perception of different motion characteristics, the final saliency region was fused dynamically by spatial and temporal saliency map. The experiment was analyzed from both subjective and objective indicators. visual observation and quantitative indicators show that the method proposed in this paper can reflect the human visual attention area more accurately than other classical extraction methods. © 2015.

关键词： Extraction

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A combined motion characteristics and video saliency map extraction method

A combined motion characteristics and video saliency map ext...

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2014 International Conference on Computer Science and Systems Engineering（CSSE2014）

作者： Y.Zhou J.H.Zhang College of Information Engineering Shenzhen University Shenzhen Key Laboratory of Visual Media Processing and Transmission Shenzhen Institute of Information Technology

ISBN: (纸本)9781784660543

A combined motion characteristics and video saliency map extraction method is proposed according to the human visual system. A spatial saliency map was extracted by analyzing the log spectrum of each frame in the frequency domain. Temporal saliency was obtained by global motion estimation and block matching. According to the human visual characteristics and the subjective perception of different motion characteristics, the region of saliency was fused dynamically by the spatial and temporal saliency map. The experiment was analyzed from both subjective and objective indicators. visual observations and quantitative indicators show that the method proposed in this paper can reflect the human visual attention area more accurately than other classical extraction methods.

关键词： region of saliency visual attention model temporal saliency spatial saliency motion characteristics

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An improved algorithm for extraction of exact boundaries and boundaries inclusion relationship

An improved algorithm for extraction of exact boundaries and...

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19th International Computing and Combinatorics Conference, COCOON 2013

作者： Hu, Tao Ren, Xianyi Zhang, Jihong Institute of Information Technology Shenzhen Institute of Information Technology 518171 Shenzhen China Shenzhen Key Laboratory of Visual Media Processing and Transmission 518171 Shenzhen China

ISBN: (纸本)9783642387678

Boundary extraction algorithm proposed by Capson can get the same or even better performance as the commercial software such as VisionPro andHalcon. Unfortunately, the algorithm cannot extract the inclusion relationship between boundaries, which greatly reduce its attractiveness. Two improvements is proposed to improve the original algorithm in this paper, one is to improve the precision of boundaries by splitting points and merging points, another one is to design new data-structure and rules to implement acquiring deep inclusion relationship between external and internal boundaries. Experimental results show that the improvements increase a little consuming time but make the original algorithm more attractive. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Merging

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