2014 IEEE Visual Communications and Image Processing Conference最新文献_第4页

A novel objective quality assessment method for perceptual video coding in conversational scenarios 会话场景下感知视频编码的一种新的客观质量评估方法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051496

Mai Xu, Jingze Zhang, Yuan Ma, Zulin Wang

{"title":"A novel objective quality assessment method for perceptual video coding in conversational scenarios","authors":"Mai Xu, Jingze Zhang, Yuan Ma, Zulin Wang","doi":"10.1109/VCIP.2014.7051496","DOIUrl":"https://doi.org/10.1109/VCIP.2014.7051496","url":null,"abstract":"Recently, numerous perceptual video coding approaches have been proposed to use face as ROI regions, for improving perceived visual quality of compressed conversational videos. However, there exists no objective metric, specialized for efficiently evaluating the perceived visual quality of compressed conversational videos. This paper thus proposes an efficient objective quality assessment method, namely Gaussian mixture model based PSNR (GMM-PSNR), for conversational videos. First, eye tracking experiments, together with a face extraction technique, were carried out to identify importance of the regions of background, face, and facial features, through eye fixation points. Next, assuming that the distribution of some eye fixation points obeys Gaussian mixture model, an importance weight map is generated by introducing a new term, eye fixation points/pixel(efp/p). Finally, GMM-PSNR is computed by assigning different penalties to the distortion of each pixel in a video frame, according to the generated weight map. The experimental results show the effectiveness of our GMM-PSNR by investigating its correlation with subjective quality on several test video sequences.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121196149","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: 3

Sample adaptive offset in AVS2 video standard AVS2视频标准中的样本自适应偏移

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051506

Jing Chen, Sunil Lee, E. Alshina, Yinji Piao

引用次数: 1

Fast algorithm of coding unit depth decision for HEVC intra coding HEVC内编码中编码单元深度的快速判定算法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051605

Xiaofeng Huang, Huizhu Jia, Kaijin Wei, Jie Liu, Chuang Zhu, Zhengguang Lv, Don Xie

引用次数: 10

Insights into the role of feedbacks in the tracking loop of a modular fall-detection algorithm 深入了解反馈在模块跌落检测算法的跟踪回路中的作用

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051592

L. Boulard, E. Baccaglini, R. Scopigno

引用次数: 1

Fusion side information based on feature and motion extraction for distributed multiview video coding 分布式多视点视频编码中基于特征和运动提取的侧信息融合

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051594

Hui Yin, Mengyao Sun, Yumei Wang, Yu Liu

{"title":"Fusion side information based on feature and motion extraction for distributed multiview video coding","authors":"Hui Yin, Mengyao Sun, Yumei Wang, Yu Liu","doi":"10.1109/VCIP.2014.7051594","DOIUrl":"https://doi.org/10.1109/VCIP.2014.7051594","url":null,"abstract":"In distributed multiview video coding (DMVC), the quality of side information (SI) is crucial for decoding and the reconstruction of the Wyner-Ziv (WZ) frames. Generally, its quality is influenced by two main reasons. One reason is that the moving object of the WZ frames can be easily misestimated because of fast motion. The other is that the background around the moving object is also easily misestimated because of occlusion. According to these reasons, a novel SI fusion method is proposed which exploits different schemes to reconstruct different parts complementarity. Motion detection is performed to extract the moving object which can be predicted by utilizing both temporary correlations and spatial correlations. As for background around the moving object, temporary correlations are utilized to predict it. It is noteworthy that the prediction method used in this paper is based on a feature based global motion model. The experiment results show high precision quality of the SI of the WZ frames and significant improvement in rate distortion (RD) performance especially for the sequence with fast moving objects.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114269955","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: 3

Accurate image noise level estimation by high order polynomial local surface approximation and statistical inference 采用高阶多项式局部表面近似和统计推断方法精确估计图像噪声水平

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051581

Tingting Kou, Lei Yang, Y. Wan

{"title":"Accurate image noise level estimation by high order polynomial local surface approximation and statistical inference","authors":"Tingting Kou, Lei Yang, Y. Wan","doi":"10.1109/VCIP.2014.7051581","DOIUrl":"https://doi.org/10.1109/VCIP.2014.7051581","url":null,"abstract":"Image noise level estimation is an important step in many image processing tasks such as denoising, compression and segmentation. Although recently proposed SVD and PCA approaches have produced the most accurate estimates so far, these linear subspace-based methods still suffer from signal contamination from the clean signal content, especially in the low noise situation. In addition, the common performance evaluation procedure currently in use treats test images as noise-free. This omits the noise already in those test images and invariably incurs a bias. In this paper we make two contributions. First, we propose a new noise level estimation method using nonlinear local surface approximation. In this method, we first approximate image noise-free content in each block using a high degree polynomial. Then the block residual variances, which follow chi squared distribution, are sorted and the upper quantile of a carefully chosen size is used for estimation. Secondly, we propose a new performance evaluation procedure that is free from the influence of the noise already present in the test images. Experimental results show that it has much improved performance than typical state-of-the-art methods in terms of both estimation accuracy and stability.","PeriodicalId":166978,"journal":{"name":"2014 IEEE Visual Communications and Image Processing Conference","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114723348","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

A proposed accelerated image copy-move forgery detection 提出了一种加速图像复制-移动伪造检测方法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051552

Sondos M. Fadl, N. Semary

引用次数: 19

Avoiding weak parameters in secret image sharing 在秘密图像共享中避免弱参数

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051617

M. Mohanty, C. Gehrmann, P. Atrey

引用次数: 6

Scalar-quantization-based multi-layer data hiding for video coding applications 基于标量量化的视频编码多层数据隐藏

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051554

Alexey Filippov, Vasily Rufitskiy, V. Potapov

引用次数: 6

A new convex optimization-based two-pass rate control method for object coding in AVS 基于凸优化的AVS目标编码双通过率控制新方法

2014 IEEE Visual Communications and Image Processing Conference Pub Date : 2014-12-01 DOI: 10.1109/VCIP.2014.7051627

X. Yao, S. Chan

引用次数: 0