2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)最新文献_第8页

Performance Analysis of WebRTC Embedding Optimized HEVC CodeC 嵌入优化HEVC编解码器的WebRTC性能分析

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008812

Zhenyu Liu

引用次数: 0

Intelligent Reflection Elimination Imaging Device based on Polarizer 基于偏光镜的智能反射消除成像装置

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008900

Xinru Chen, Hang Liu, Menghan Hu, Lejing Zhang, Yunmian Li

引用次数: 0

High-frequency guided CNN for video compression artifacts reduction 高频导引CNN用于视频压缩伪影的减少

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008814

Li Yu, Wenshuai Chang, Qingshan Liu, M. Gabbouj

{"title":"High-frequency guided CNN for video compression artifacts reduction","authors":"Li Yu, Wenshuai Chang, Qingshan Liu, M. Gabbouj","doi":"10.1109/VCIP56404.2022.10008814","DOIUrl":"https://doi.org/10.1109/VCIP56404.2022.10008814","url":null,"abstract":"In this paper, we propose a high-frequency guided CNN for video compression artifacts reduction. In the proposed method, high frequency component in Y channel is extracted and used to guide the quality enhancement of all Y, U, V channels. As high frequency component contains the edge and contour information of the objects in the image, which is of vital importance to both subjective and objective quality. In general, the proposed method consists of two modules: the high frequency guidance module and the quality enhancement module. The high-frequency guidance module uses multiple octave convolutions to extract the high-frequency component in Y channel and then fuse it into the features of Y, U, and V channels. While in the quality enhancement module, multiple CNN residual blocks are used for the quality enhancement of Y, U, and V channels. The proposed method was integrated into both HM-16.22 and VTM-16.0. The results on the JVET test sequence under All Intra configuration shows the effectiveness of the proposed method. Compared with HEVC, the proposed method achieves the average BD-rate reductions of -12.3%, -22.7% and -23.5% for Y, U and V channels respectively. Compared with VVC, the average BD-rate reductions are -6.7%, -12.3% and -13.2% correspondingly.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116624078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Controllable Space-Time Video Super-Resolution via Enhanced Bidirectional Flow Warping 基于增强双向流扭曲的可控时空视频超分辨率

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008838

Yuantong Zhang, Huairui Wang, Zhenzhong Chen

{"title":"Controllable Space-Time Video Super-Resolution via Enhanced Bidirectional Flow Warping","authors":"Yuantong Zhang, Huairui Wang, Zhenzhong Chen","doi":"10.1109/VCIP56404.2022.10008838","DOIUrl":"https://doi.org/10.1109/VCIP56404.2022.10008838","url":null,"abstract":"Space-time video super-resolution targets to increase a given video's frame rate and resolution simultaneously. Al-though existing approaches have made great progress, most of them still suffer from the inaccurate approximation of large motions or fail to generate temporal consistent motion trajectory. To alleviate these problems, we carefully review the characteris-tics of different optical flow warping strategies, integrating and enhancing them to achieve more robust capabilities for handling extreme motions and time-modulated interpolation. Specifically, we utilize enhanced backward warping to perform alignment, mine space-time information across low resolution input frames, and propose an enhanced forward warping strategy to interpolate arbitrary intermediate frames. Furthermore, the proposed model can be trained end-to-end and produce intermediate results at any time by merely supervising the center moment. Experimental results show that the proposed algorithm performs favorably against the state-of-the-art methods in objective metrics and subjective visual effects.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131104239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Robust Dynamic Background Modeling for Foreground Estimation 前景估计的鲁棒动态背景建模

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008816

Qiang Ning, Fangfang Wu, W. Dong, Jinjian Wu, Guangming Shi, Xin Li

{"title":"Robust Dynamic Background Modeling for Foreground Estimation","authors":"Qiang Ning, Fangfang Wu, W. Dong, Jinjian Wu, Guangming Shi, Xin Li","doi":"10.1109/VCIP56404.2022.10008816","DOIUrl":"https://doi.org/10.1109/VCIP56404.2022.10008816","url":null,"abstract":"Separating the background and foreground components from video frames is important to many tasks in computer vision and multimedia. As of today, robust principal component analysis (RPCA) has shown highly promising performance with the assumption that the background is low-rank and the foreground is sparse. However, existing RPCA-based methods have overlooked the uncertainty that some parts of the background (e.g., moving leaves in a dynamic background) or even the whole background (e.g., camera jittering) can be moving, which violates the low-rank assumption. To address this issue, we propose a novel enhanced RPCA framework (called ERPCA) by robustly modeling the dynamic background. Different from traditional RPCA framework, the background is decomposed into a low-rank component and a sparse component in the proposed ERPCA framework. Specifically, the sparse parts including foreground and dynamic parts of the background are modeled by Gaussian scale mixture (GSM) model. Moreover, those sparse components are further constrained by temporal consistency using nonzeromeans Gaussian models; the correspondences between sparse pixels in adjacent frames are explored by optical flow. Experimental results on 40 real videos demonstrate the superiority of our proposed method, with better average results than current state-of-the-art foreground estimation methods.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124101580","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Asynchronous Autoregressive Prediction for Satellite Anomaly Detection 卫星异常检测的异步自回归预测

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008889

Peng Liu, Haopeng Zhang, Lifang Yuan, Borui Zhang, Chengkun Wang

引用次数: 0

Augmented Normalizing Flow for Point Cloud Geometry Coding 点云几何编码的增强归一化流程

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008821

Siao-Yu Li, Ji-Jin Chiu, J. Chiang, Wen-Hsiao Peng, W. Lie

引用次数: 1

ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation ENDE-GNN:一个用于草图语义分割的编码器-解码器GNN框架

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008880

Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo

{"title":"ENDE-GNN: An Encoder-decoder GNN Framework for Sketch Semantic Segmentation","authors":"Yixiao Zheng, Jiyang Xie, Aneeshan Sain, Zhanyu Ma, Yi-Zhe Song, Jun Guo","doi":"10.1109/VCIP56404.2022.10008880","DOIUrl":"https://doi.org/10.1109/VCIP56404.2022.10008880","url":null,"abstract":"Sketch semantic segmentation serves as an important part of sketch interpretation. Recently, some researchers have obtained significant results using graph neural networks (GNN) for this task. However, existing GNN-based methods usually neglect the drawing order of sketches thus missing out the sequence information inherent to sketches. Towards solving this problem to achieve better performance on sketch semantic segmentation, we propose an encoder-decoder GNN framework named ENDE-GNN. Working with an auxiliary decoder, our ENDE-GNN guides the GNN backbone network to not only extract the inter-stroke and intra-stroke features, but also pays attention to the drawing order of sketches. This decoder acts during training only, preventing any additional overhead during testing. The proposed ENDE-GNN obtains state-of-the-art per-formances on three public sketch semantic segmentation datasets, namely SPG, SketchSeg-150K, and CreativeSketch. We further evaluate the effectiveness of ENDE-GNN via ablation studies and visualizations. Codes are available at https://github.com/PRIS-CV/ENDE_For_SSS.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"521 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134189944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Portable Eye Movement Feature Collection Device for Children with Autism 自闭症儿童便携式眼动特征采集装置

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008848

Xinding Xia, Menghan Hu, Xiaojuan Xue, Qiaoyun Liu, Jian Zhang, Guangtao Zhai

{"title":"Portable Eye Movement Feature Collection Device for Children with Autism","authors":"Xinding Xia, Menghan Hu, Xiaojuan Xue, Qiaoyun Liu, Jian Zhang, Guangtao Zhai","doi":"10.1109/VCIP56404.2022.10008848","DOIUrl":"https://doi.org/10.1109/VCIP56404.2022.10008848","url":null,"abstract":"Eye movement data has become an important char-acterization in the analysis of children with autism spectrum disorder (ASD). Current eye movement measurement meth-ods require specialized expensive equipment, calibration, and trained personnel, limiting their use in general ASD screening, especially in resource-scarce environments. Therefore, collecting eye movement features based on the standard RGB camera of a mobile phone or tablet has many advantages over professional equipment. The system design is based on the Android tablet design, and the screen is divided into two parts to display the normal children and the ASD children paintings. The eye movement data of children is obtained through the front camera, so as to provide data support for future data analysis. Taking the different cooperation degrees of children into account, two collection modes are designed: 1) directly displaying the stimuli in a loop (image mode); and 2) providing the background video interspersed with the stimulus display (video mode). The demo video of the proposed system is available at: https://doi.org/10.6084/m9.figshare.21346806.v1.","PeriodicalId":269379,"journal":{"name":"2022 IEEE International Conference on Visual Communications and Image Processing (VCIP)","volume":"21 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131681616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MCascade R-CNN: A Modified Cascade R-CNN for Detection of Calcified on Coronary Artery Angiography Images MCascade R-CNN:一种改进的级联R-CNN检测冠状动脉造影图像钙化

2022 IEEE International Conference on Visual Communications and Image Processing (VCIP) Pub Date : 2022-12-13 DOI: 10.1109/VCIP56404.2022.10008804

W. Wang, Yi Zhang, Xiaofei Wang, Honggang Zhang, Lihua Xie, Bo Xu

引用次数: 0