2014 IEEE International Conference on Image Processing (ICIP)最新文献_第6页

Correlation noise modeling for multiview transform domain Wyner-Ziv video coding 多视点变换域Wyner-Ziv视频编码的相关噪声建模

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025648

Catarina Brites, F. Pereira

{"title":"Correlation noise modeling for multiview transform domain Wyner-Ziv video coding","authors":"Catarina Brites, F. Pereira","doi":"10.1109/ICIP.2014.7025648","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025648","url":null,"abstract":"Multiview Wyner-Ziv (MV-WZ) video coding rate-distortion (RD) performance is highly influenced by the adopted correlation noise model (CNM). In the related literature, the statistics of the correlation noise between the original frame and the side information (SI), typically resulting from the fusion of temporally and inter-view created SIs, is modelled by a Laplacian distribution. In most cases, the Laplacian CNM parameter is estimated using an offline approach, assuming that either the SI is available at the encoder or the originals are available at the decoder which is not realistic. In this context, this paper proposes the first practical, online CNM solution for a multiview transform domain WZ (MV-TDWZ) video codec. The online estimation of the Laplacian CNM parameter is performed at the decoder based on metrics exploring both the temporal and inter-view correlations with two levels of granularity, notably transform band and transform coefficient. The results obtained show that better RD performance is achieved for the finest granularity level since the inter-view, temporal and spatial correlations are exploited with the highest adaptation.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"99 1","pages":"3204-3208"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74633179","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

Radial distortion correction from a single image of a planar calibration pattern using convex optimization 利用凸优化从平面校准模式的单个图像进行径向畸变校正

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025699

Xianghua Ying, Xiang Mei, Sen Yang, G. Wang, H. Zha

引用次数: 17

Automatic defocus spectral matting 自动散焦光谱抠图

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025879

Hui Zhou, T. Ahonen

引用次数: 2

A track-before-detect algorithm using joint probabilistic data association filter and interacting multiple models 基于联合概率数据关联滤波和多模型交互的检测前跟踪算法

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026002

Andrea Mazzù, Simone Chiappino, L. Marcenaro, C. Regazzoni

{"title":"A track-before-detect algorithm using joint probabilistic data association filter and interacting multiple models","authors":"Andrea Mazzù, Simone Chiappino, L. Marcenaro, C. Regazzoni","doi":"10.1109/ICIP.2014.7026002","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7026002","url":null,"abstract":"Detection of dim moving point targets in cluttered background can have a great impact on the tracking performances. This may become a crucial problem, especially in low-SNR environments, where target characteristics are highly susceptible to corruption. In this paper, an extended target model, namely Interacting Multiple Model (IMM), applied to Track-Before-Detect (TBD) based detection algorithm, for far objects, in infrared (IR) sequences is presented. The approach can automatically adapts the kinematic parameter estimations, such as position and velocity, in accordance with the predictions as dimensions of the target change. A sub-par sensor can cause tracking problems. In particular, for a single object, noisy observations (i.e. fragmented measures) could be associated to different tracks. In order to avoid this problem, presented framework introduces a cooperative mechanism between Joint Probabilistic Data Association Filter (JPDAF) and IMM. The experimental results on real and simulated sequences demonstrate effectiveness of the proposed approach.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"7 1","pages":"4947-4951"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75492616","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

Latent fingerprint persistence: A new temporal feature space for forensic trace evidence analysis 潜在指纹持久性:一种新的法医痕迹证据分析时间特征空间

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026003

R. Merkel, J. Dittmann, M. Hildebrandt

{"title":"Latent fingerprint persistence: A new temporal feature space for forensic trace evidence analysis","authors":"R. Merkel, J. Dittmann, M. Hildebrandt","doi":"10.1109/ICIP.2014.7026003","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7026003","url":null,"abstract":"In forensic applications, traces are often hard to detect and segment from challenging substrates at crime scenes. In this paper, we propose to use the temporal domain of forensic signals as a novel feature space to provide additional information about a trace. In particular we introduce a degree of persistence measure and a protocol for its computation, allowing for a flexible extraction of time domain information based on different features and approximation techniques. At the example of latent fingerprints on semi-/porous surfaces and a CWL sensor, we show the potential of such approach to achieve an increased performance for the challenge of separating prints from background. Based on 36 earlier introduced spectral texture features, we achieve an increased separation performance (0.01 ≤ Δκ ≤ 0.13, respective 0.6% to 6.7%) when using the time domain signal instead of spatial segmentation. The test set consists of 60 different prints on photographic-, catalogue- and copy paper, acquired in a sequence of ten times. We observe a dependency on the used surface as well as the number of consecutive images and identify the accuracy and reproducibility of the capturing device as the main limitation, proposing additional steps for even higher performances in future work.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"12 1","pages":"4952-4956"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73953558","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: 7

Statistics of wavelet coefficients for sparse self-similar images 稀疏自相似图像的小波系数统计

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7026230

J. Fageot, E. Bostan, M. Unser

引用次数: 3

Image demosaicing by using iterative residual interpolation 基于迭代残差插值的图像去马赛克

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025373

W. Ye, K. Ma

引用次数: 12

Trajectory clustering for motion pattern extraction in aerial videos 航拍视频中运动模式提取的轨迹聚类

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025203

T. Nawaz, A. Cavallaro, B. Rinner

引用次数: 23

A conditional random field approach for face identification in broadcast news using overlaid text 基于覆盖文本的广播新闻人脸识别的条件随机场方法

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025063

G. Paul, Khoury Elie, Meignier Sylvain, Odobez Jean-Marc, D. Paul

{"title":"A conditional random field approach for face identification in broadcast news using overlaid text","authors":"G. Paul, Khoury Elie, Meignier Sylvain, Odobez Jean-Marc, D. Paul","doi":"10.1109/ICIP.2014.7025063","DOIUrl":"https://doi.org/10.1109/ICIP.2014.7025063","url":null,"abstract":"We investigate the problem of face identification in broadcast programs where people names are obtained from text overlays automatically processed with Optical Character Recognition (OCR) and further linked to the faces throughout the video. To solve the face-name association and propagation, we propose a novel approach that combines the positive effects of two Conditional Random Field (CRF) models: a CRF for person diarization (joint temporal segmentation and association of voices and faces) that benefit from the combination of multiple cues including as main contributions the use of identification sources (OCR appearances) and recurrent local face visual background (LFB) playing the role of a namedness feature; a second CRF for the joint identification of the person clusters that improves identification performance thanks to the use of further diarization statistics. Experiments conducted on a recent and substantial public dataset of 7 different shows demonstrate the interest and complementarity of the different modeling steps and information sources, leading to state of the art results.","PeriodicalId":6856,"journal":{"name":"2014 IEEE International Conference on Image Processing (ICIP)","volume":"28 1","pages":"318-322"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78197285","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: 6

2D+t autoregressive framework for video texture completion 视频纹理补全的2D+t自回归框架

2014 IEEE International Conference on Image Processing (ICIP) Pub Date : 2014-10-01 DOI: 10.1109/ICIP.2014.7025944

Fabien Racapé, D. Doshkov, Martin Köppel, P. Ndjiki-Nya

引用次数: 4