IEEE Transactions on Broadcasting最新文献_第9页

Rate-Distortion-Optimization-Driven Quantization Parameter Cascading for Screen Content Video Coding Using VVC 基于VVC的屏幕内容视频编码的率失真优化驱动量化参数级联

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-09-18 DOI: 10.1109/TBC.2025.3609039

Yanchao Gong;Yinghua Li;Baogui Li;Kaifang Yang;Nam Ling

{"title":"Rate-Distortion-Optimization-Driven Quantization Parameter Cascading for Screen Content Video Coding Using VVC","authors":"Yanchao Gong;Yinghua Li;Baogui Li;Kaifang Yang;Nam Ling","doi":"10.1109/TBC.2025.3609039","DOIUrl":"https://doi.org/10.1109/TBC.2025.3609039","url":null,"abstract":"Screen content videos (SCVs) have been widely used in television broadcasting, video conferencing, online education, and other fields. VVC is a new generation video coding standard for SCVs, where the quantization parameter (QP) is one of the key coding parameters that significantly affects the coding efficiency of SCVs. The method of selecting optimal QPs for pictures located at different temporal layers is called quantization parameter cascading (QPC). The QPC method recommended by VVC test model, i.e., VTM, does not take into account the impact of video content characteristics on QP selection, resulting in lower coding efficiency of SCVs. To address this issue, a QPC method driven by the rate-distortion (R-D) optimization for SCVs (QPC-SCV), was proposed. Combining experiments and the hybrid coding framework principles of VVC, a novel R-D cost function applicable to the SCV coding characteristics was first established and validated, where the spatiotemporal content characteristics of SCVs were evaluated to predict the model parameters. Then, a video motion form classification and particle swarm optimization were further proposed to effectively solve the R-D cost function and obtain optimized QPs. Compared with the QPC recommended by VTM, the QPC-SCV improves the coding efficiency of SCVs while reducing the coding time. For all test sequences, the average BD-rate corresponding to the QPC-SCV is −6.90%, and the average coding time is reduced by 4.56%.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 4","pages":"993-1010"},"PeriodicalIF":4.8,"publicationDate":"2025-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766195","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image Quality Assessment: Exploring the Similarity of Deep Features via Covariance-Constrained Spectra 图像质量评估：通过协方差约束光谱探索深度特征的相似性

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-09-16 DOI: 10.1109/TBC.2025.3609055

Shujun Lang;Mingliang Zhou;Xuekai Wei;Jielu Yan;Yong Feng;Weijia Jia

{"title":"Image Quality Assessment: Exploring the Similarity of Deep Features via Covariance-Constrained Spectra","authors":"Shujun Lang;Mingliang Zhou;Xuekai Wei;Jielu Yan;Yong Feng;Weijia Jia","doi":"10.1109/TBC.2025.3609055","DOIUrl":"https://doi.org/10.1109/TBC.2025.3609055","url":null,"abstract":"In this paper, we propose a full-reference image quality assessment (FR-IQA) method based on covariance-constrained spectral derivation, which achieves degradation perception of distorted images through a designed perceptual deep feature similarity strategy. First, original-resolution images were adopted as inputs to preserve information invariance, whereas fundamental feature extractors were employed to obtain both shallow and deep-level image features. Second, guided by statistical principles, centralized preprocessing was conducted to enhance data stability, covariance constraints were utilized for feature relationship characterization, joint spectral analysis was implemented for feature–pair information unification, and eigenvalue analysis was performed to complete spectral derivation. Finally, the spectral derivation results from both feature levels were integrated to compute the predicted quality scores for distorted images. The experimental results demonstrated that our method exhibited comparable performance and competitiveness with state-of-the-art approaches.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"72 1","pages":"303-316"},"PeriodicalIF":4.8,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147362538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

IEEE Transactions on Broadcasting Information for Readers and Authors 面向读者和作者的广播信息IEEE汇刊

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-09-05 DOI: 10.1109/TBC.2025.3603346

引用次数: 0

Toward Learned Image Compression for Multiple Semantic Analysis Tasks 面向多语义分析任务的学习图像压缩研究

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-08-21 DOI: 10.1109/TBC.2025.3597154

Zhisen Tang;Xiaokai Yi;Hanli Wang

{"title":"Toward Learned Image Compression for Multiple Semantic Analysis Tasks","authors":"Zhisen Tang;Xiaokai Yi;Hanli Wang","doi":"10.1109/TBC.2025.3597154","DOIUrl":"https://doi.org/10.1109/TBC.2025.3597154","url":null,"abstract":"Deep neural network (DNN)-based image compression methods have demonstrated superior rate-distortion performance compared to traditional codecs in recent years. However, most existing DNN-based compression methods only optimize signal fidelity at certain bitrate for human perception, neglecting to preserve the richness of semantics in compressed bitstream. This limitation renders the images compressed by existing deep codecs unsuitable for machine vision applications. To bridge the gap between image compression and multiple semantic analysis tasks, an integration of self-supervised learning (SSL) with deep image compression is proposed in this work to learn generic compressed representations, allowing multiple computer vision tasks to perform semantic analysis from the compressed domain. Specifically, the semantic-guided SSL under bitrate constraint is designed to preserve the semantics of generic visual features and remove the redundancy irrelevant to semantic analysis. Meanwhile, a compression network with high-order spatial interactions is proposed to capture long-range dependencies with low complexity to remove global redundancy. Without incurring decoding cost of pixel-level reconstruction, the features compressed by the proposed method can serve multiple semantic analysis tasks in a compact manner. The experimental results from multiple semantic analysis tasks confirm that the proposed method significantly outperforms traditional codecs and recent deep image compression methods in terms of various analysis performances at similar bitrates. The source code of this work can be found in <uri>https://mic.tongji.edu.cn</uri>.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 4","pages":"1022-1033"},"PeriodicalIF":4.8,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

COPP-Net: No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction COPP-Net：基于加权补丁质量预测的无参考点云质量评估

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-08-20 DOI: 10.1109/TBC.2025.3597096

Linxia Zhu;Jun Cheng;Xu Wang;Honglei Su;Hui Yuan;Jiarun Song;Jari Korhonen

{"title":"COPP-Net: No-Reference Point Cloud Quality Assessment via Weighted Patch Quality Prediction","authors":"Linxia Zhu;Jun Cheng;Xu Wang;Honglei Su;Hui Yuan;Jiarun Song;Jari Korhonen","doi":"10.1109/TBC.2025.3597096","DOIUrl":"https://doi.org/10.1109/TBC.2025.3597096","url":null,"abstract":"As 3D vision applications relying on point clouds rapidly develop, point cloud quality assessment (PCQA) has emerged as a significant research area. When observing a point cloud, people typically rotate it to different viewpoints to examine local details from various angles, ultimately synthesizing the overall quality score of the point cloud. In this process, different parts of the point cloud have varying impacts on the overall quality. However, existing PCQA methods often overlook the influence of local quality variations across different regions of the point cloud. To address the imbalance in quality distribution, we introduce COPP-Net, a no-reference point cloud quality assessment (NR-PCQA) method equipped with the capability for local area correlation analysis. Specifically, we segment the point cloud into multiple patches and enhance PointNet++ to generate accurate texture and structure features for each patch. These features are then combined to predict the quality of each patch. Subsequently, we conduct aggregation analysis on the features of all patches using the correlation analysis (CORA) network based on Transformer to determine correlation weights. Finally, we calculate the overall quality score by combining the predicted quality and correlation weights of all patches. Through comparisons with the latest state-of-the-art NR-PCQA models, as well as a series of tests on different distortion types, cross-dataset validation, and time complexity analysis, the high performance of COPP-Net is verified. The available source code for the proposed COPP-Net can be found at <uri>https://github.com/philox12358/COPP-Net</uri>.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 4","pages":"1079-1091"},"PeriodicalIF":4.8,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Encoder-Aware Video Downscaling Using Encoding Parameters 使用编码参数的编码器感知视频降尺度

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-08-12 DOI: 10.1109/TBC.2025.3590570

Yasutaka Matsuo;Shuichi Aoki

{"title":"Encoder-Aware Video Downscaling Using Encoding Parameters","authors":"Yasutaka Matsuo;Shuichi Aoki","doi":"10.1109/TBC.2025.3590570","DOIUrl":"https://doi.org/10.1109/TBC.2025.3590570","url":null,"abstract":"To simultaneously produce 4K broadcast video with 8K broadcasts, 4K resolution videos can be captured using an 8K resolution video camera with an image downscaling process. A blocking artifact for the video coding of this 4K broadcast is likely to form in a pixel region with high coding difficulty. We developed the encoder-side preprocessing method of video coding for image downscaling to prevent the formation of blocking artifacts. Our proposed method adaptively controls the band limitation of the spatial frequency in an iteration using the spectrum power information of the original image and the quantization parameter (QP) and the motion vector (MV) in the video coding of its downscaled image. In addition, when iteration is not allowed, for example, for live broadcasts and low latency transmission, the spectrum power information of the original image and the estimated values of the QP and MV in the video coding of its downscaled image are used. These estimated QP and MV values were calculated previously using the video codec. We experimentally showed that coding in the proposed method is simpler than the conventional bicubic, Lanczos3, and wavelet methods to prevent the blocking of artifact formation. These experimental results using both methods are also discussed.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 4","pages":"1011-1021"},"PeriodicalIF":4.8,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Improved Prediction Method of MF Skywave Propagation for Medium and Long-Range Broadcasting Services 一种改进的中远程广播中频天波传播预测方法

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-08-11 DOI: 10.1109/TBC.2025.3590589

Jianhua Yao;Yafei Shi;Jian Wang;Chengsong Duan;Qidong Chen;Fanyi Meng

{"title":"An Improved Prediction Method of MF Skywave Propagation for Medium and Long-Range Broadcasting Services","authors":"Jianhua Yao;Yafei Shi;Jian Wang;Chengsong Duan;Qidong Chen;Fanyi Meng","doi":"10.1109/TBC.2025.3590589","DOIUrl":"https://doi.org/10.1109/TBC.2025.3590589","url":null,"abstract":"Medium-frequency (MF) is widely used in medium and long-range broadcasting and other scenarios such as navigation, and emergency communication, especially when other radio transmission methods are unavailable, predicting MF skywave propagation is crucial. Therefore, to improve the prediction accuracy of MF skywave propagation, we proposed an improved method based on the ITU-R P.1147 method, addressing the following aspects: (1) By redefining the solar flux factor and analyzing MF skywave field strength of 7 circuits in Europe and 9 circuits in North America, an accuracy improvement of 34.69% is achieved compared to the ITU-R P.1147 method; (2) By replacing the dipole geomagnetic latitude with the corrected dipole geomagnetic latitude and combining the basic loss coefficient with an improved ionospheric absorption factor and other relevant loss factors, an accuracy improvement of 42.78% is further achieved. Taken together, these improvements enable the proposed method to achieve a prediction accuracy improvement of 60.78% over the ITU-R P.1147 method, facilitating enhanced accuracy in MF skywave propagation predictions.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 4","pages":"965-976"},"PeriodicalIF":4.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145766200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-Domain Spatial-Temporal Redundancy Mining for Efficient Learned Video Compression 基于多域时空冗余挖掘的高效学习视频压缩

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-07-23 DOI: 10.1109/TBC.2025.3587532

Feng Yuan;Zhaoqing Pan;Jianjun Lei;Bo Peng;Fu Lee Wang;Sam Kwong

{"title":"Multi-Domain Spatial-Temporal Redundancy Mining for Efficient Learned Video Compression","authors":"Feng Yuan;Zhaoqing Pan;Jianjun Lei;Bo Peng;Fu Lee Wang;Sam Kwong","doi":"10.1109/TBC.2025.3587532","DOIUrl":"https://doi.org/10.1109/TBC.2025.3587532","url":null,"abstract":"The Conditional Coding-based Learned Video Compression (CC-LVC) has become an important paradigm in learned video compression, because it can effectively explore spatial-temporal redundancies within a huge context space. However, existing CC-LVC methods cannot accurately model motion information and efficiently mine contextual correlations for complex regions with non-rigid motions and non-linear deformations. To address these problems, an efficient CC-LVC method is proposed in this paper, which mines spatial-temporal dependencies across multiple motion domains and receptive domains for improving the video coding efficiency. To accurately model complex motions and generate precise temporal contexts, a Multi-domain Motion modeling Network (MMNet) is proposed to capture robust motion information from both spatial and frequency domains. Moreover, a multi-domain context refinement module is developed to discriminatively highlight frequency-domain temporal contexts and adaptively fuse multi-domain temporal contexts, which can effectively mitigate inaccuracies in temporal contexts caused by motion errors. In order to efficiently compress video signals, a Multi-scale Long Short-range Decorrelation Module (MLSDM)-based context codec is proposed, in which an MLSDM is designed to learn long short-range spatial-temporal dependencies and channel-wise correlations across varying receptive domains. Extensive experimental results show that the proposed method significantly outperforms VTM 17.0 and other state-of-the-art learned video compression methods in terms of both PSNR and MS-SSIM.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"808-820"},"PeriodicalIF":4.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Enhancement of OAM With OFDM-IM for FSO Communications Using LLR Detection 利用LLR检测提高OAM与OFDM-IM在FSO通信中的性能

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-07-23 DOI: 10.1109/TBC.2025.3587530

Aye Yadanar Win;Merhawit Berhane Teklu;Yeon Ho Chung

{"title":"Performance Enhancement of OAM With OFDM-IM for FSO Communications Using LLR Detection","authors":"Aye Yadanar Win;Merhawit Berhane Teklu;Yeon Ho Chung","doi":"10.1109/TBC.2025.3587530","DOIUrl":"https://doi.org/10.1109/TBC.2025.3587530","url":null,"abstract":"Orbital angular momentum (OAM) communication has emerged as a promising technology for significantly enhancing data transmission efficiency and overall system performance in free-space optical (FSO) communication systems. However, its performance is severely affected by atmospheric turbulence (AT), which leads to signal attenuation, crosstalk, and degradation in system capacity and bit error rate (BER). To address these challenges, this paper proposes a novel approach that integrates OAM multiplexing with orthogonal frequency division multiplexing using index modulation (OFDM-IM) under varying AT conditions. Additionally, a low-complexity log-likelihood ratio detector is employed for efficient signal detection. Simulation results demonstrate that the proposed system outperforms conventional OAM-MIMO in terms of BER and capacity across various turbulence regimes and OAM modes. The proposed system is evaluated using different parameters, including propagation distance, active indices, and the number of users. The results suggest that our proposed system effectively balances resilience to turbulence and spatial multiplexing, ensuring sustained capacity in challenging FSO environments.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"784-792"},"PeriodicalIF":4.8,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Angle-Domain Partition Beam Pattern-Based Beam Training in Sub-THz Extremely Large-Scale Antenna Array Communication Systems 亚太赫兹超大规模天线阵列通信系统中基于角域划分波束模式的波束训练

IF 4.8 1区计算机科学

IEEE Transactions on Broadcasting Pub Date : 2025-07-11 DOI: 10.1109/TBC.2025.3582107

Jingbo Tan;Jintao Wang;Jian Song

{"title":"Angle-Domain Partition Beam Pattern-Based Beam Training in Sub-THz Extremely Large-Scale Antenna Array Communication Systems","authors":"Jingbo Tan;Jintao Wang;Jian Song","doi":"10.1109/TBC.2025.3582107","DOIUrl":"https://doi.org/10.1109/TBC.2025.3582107","url":null,"abstract":"Sub-terahertz (sub-THz) communications is considered one of the critical techniques in 6G network. To enlarge the antenna effective aperture and guarantee the received power, the employment of an extremely large-scale antenna array to generate high-gain beams is essential in sub-THz communications. Obtaining accurate channel path directions of users is necessary for achieving high-gain beamforming and efficient user scheduling in both unicast and multicast scenarios. However, the existing beam training schemes for acquiring channel path directions suffer from a large beam training overhead in either time-domain or frequency-domain. To solve this problem, we propose an angle-domain partition beam pattern (APBP) based beam training scheme by considering the delay-phase precoding architecture. Specifically, a wideband beam pattern called APBP is defined which covers the entire angle-domain and is realized by generating beams that cover different angle-domain partitions through different radio-frequency chains. Then, the property of the APBP is revealed that the channel path direction can be uniquely determined by using the targeted direction difference of beams satisfying two different APBPs with coprime partition numbers. Based on this property, we propose a fast beam training scheme with two stages. In the coarse estimation stage, the channel path directions are coarsely estimated by utilizing beams satisfying two different APBPs with coprime partition numbers. After that, a fine-tuning stage is operated to accurately decide the channel path directions. The proposed scheme is able to achieve accurate beam training by utilizing pilots occupying only three time slots and a small part of subcarriers. Theoretical analyses and extensive simulations have shown that the proposed scheme can realize a 75% reduction in beam training overhead with the near-optimal achievable sum-rate.","PeriodicalId":13159,"journal":{"name":"IEEE Transactions on Broadcasting","volume":"71 3","pages":"741-755"},"PeriodicalIF":4.8,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144998030","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0