2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)最新文献

Generalized dirichlet mixture matching projection for supervised linear dimensionality reduction of proportional data 比例数据有监督线性降维的广义dirichlet混合匹配投影

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2017-03-05 DOI: 10.1109/ICASSP.2017.7952668

Walid Masoudimansour, N. Bouguila

引用次数: 5

Mobile live streaming: Insights from the periscope service 移动直播:来自潜望镜服务的见解

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-23 DOI: 10.1109/MMSP.2016.7813395

Leonardo Favario, M. Siekkinen, E. Masala

引用次数: 7

MUDVA: A multi-sensory dataset for the vehicular CPS applications MUDVA:用于车载CPS应用的多感官数据集

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813382

K. M. Alam, Mohammed Bin Hariz, Seyed Vahid Hosseinioun, M. Saini, Abdulmotaleb El Saddik

{"title":"MUDVA: A multi-sensory dataset for the vehicular CPS applications","authors":"K. M. Alam, Mohammed Bin Hariz, Seyed Vahid Hosseinioun, M. Saini, Abdulmotaleb El Saddik","doi":"10.1109/MMSP.2016.7813382","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813382","url":null,"abstract":"Vehicular Cyber-Physical System (VCPS) is a new trend in the research of the intelligent transport systems (ITS). In VCPS, vehicles work as a hub of sensors to collect interior and exterior information about the vehicle. Vehicles can use ad-hoc networking or 3G/LTE communication technology to share useful information with their neighboring vehicles or with the infrastructures to accomplish user safety, comfort, and entertainment tasks. In order to facilitate efficient sensor-services fusion in the VCPS applications, we need real life vehicular sensory datasets. While there has been many datasets containing vehicle mobility traces, there is hardly any that contains sensory information to be shared on the network. In this paper, we present a scenario specific modular dataset architecture along with some multi-sensory dataset modules. One of the dataset modules provides time synchronized multi-vehicle data including multi-view video, multi-directional sound, GPS, accelerometer, gyroscope, and magnetic field sensors. Each of the three vehicles recorded front, back, left, and right videos while moving closely in the suburban areas to let explore vehicular cooperative applications. Another module presents necessary tools and datasets to identify vehicular events such as acceleration, deceleration, turn, and no-turn events. We also present development details of a safety application using the presented datasets along with a list of other possible applications.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122596713","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

Adaptive frequency prior for frequency selective reconstruction of images from non-regular subsampling 非正则子采样图像的频率选择性重构自适应频率先验

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813347

Jürgen Seiler, André Kaup

{"title":"Adaptive frequency prior for frequency selective reconstruction of images from non-regular subsampling","authors":"Jürgen Seiler, André Kaup","doi":"10.1109/MMSP.2016.7813347","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813347","url":null,"abstract":"Image signals typically are defined on a rectangular two-dimensional grid. However, there exist scenarios where this is not fulfilled and where the image information only is available for a non-regular subset of pixel position. For processing, transmitting or displaying such an image signal, a re-sampling to a regular grid is required. Recently, Frequency Selective Reconstruction (FSR) has been proposed as a very effective sparsity-based algorithm for solving this under-determined problem. For this, FSR iteratively generates a model of the signal in the Fourier-domain. In this context, a fixed frequency prior inspired by the optical transfer function is used for favoring low-frequency content. However, this fixed prior is often too strict and may lead to a reduced reconstruction quality. To resolve this weakness, this paper proposes an adaptive frequency prior which takes the local density of the available samples into account. The proposed adaptive prior allows for a very high reconstruction quality, yielding gains of up to 0.6 dB PSNR over the fixed prior, independently of the density of the available samples. Compared to other state-of-the-art algorithms, visually noticeable gains of several dB are possible.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"940 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127004492","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

Learning patch-based anchors for face hallucination 学习基于补丁的面部幻觉锚

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813386

Wei-Jen Ko, Y. Wang, Shao-Yi Chien

引用次数: 0

Movie shot selection preserving narrative properties 保留叙事属性的电影镜头选择

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813397

Ioannis Mademlis, A. Tefas, N. Nikolaidis, I. Pitas

引用次数: 7

Adaptive color space transforms for 4:4:4 video coding considering uncorrelated noise among color components 考虑颜色分量间不相关噪声的4:4:4视频编码自适应色彩空间变换

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813361

Kodai Kikuchi, T. Kajiyama, Kei Ogura, E. Miyashita

引用次数: 0

Advanced residual coding for MPEG surround encoder 先进的残差编码的MPEG环绕编码器

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813371

I. Elfitri, M. Sobirin, Fadhlur Rahman, R. Kurnia

引用次数: 0

Magnetic resonance image classification using nonnegative matrix factorization and ensemble tree learning techniques 磁共振图像分类使用非负矩阵分解和集成树学习技术

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813393

J. Ramírez, J. Górriz, Francisco J. Martínez-Murcia, F. Segovia, D. Salas-González

引用次数: 2

Automatic camera self-calibration for immersive navigation of free viewpoint sports video 自动相机自校准沉浸式导航的自由视点体育视频

2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2016-09-01 DOI: 10.1109/MMSP.2016.7813399

Qiang Yao, Hiroshi Sankoh, Keisuke Nonaka, S. Naito

{"title":"Automatic camera self-calibration for immersive navigation of free viewpoint sports video","authors":"Qiang Yao, Hiroshi Sankoh, Keisuke Nonaka, S. Naito","doi":"10.1109/MMSP.2016.7813399","DOIUrl":"https://doi.org/10.1109/MMSP.2016.7813399","url":null,"abstract":"In recent years, the demand of immersive experience has triggered a great revolution in the applications and formats of multimedia. Particularly, immersive navigation of free viewpoint sports video has become increasingly popular, and people would like to be able to actively select different viewpoints when watching sports videos to enhance the ultra realistic experience. In the practical realization of immersive navigation of free viewpoint video, the camera calibration is of vital importance. Especially, automatic camera calibration is very significant in real-time implementation and the accuracy of camera parameter directly determines the final experience of free viewpoint navigation. In this paper, we propose an automatic camera self-calibration method based on a field model for free viewpoint navigation in sports events. The proposed method is composed of three parts, namely, extraction of field lines in a camera image, calculation of crossing points, determination of the optimal camera parameter. Experimental results show that the camera parameter can be automatically estimated by the proposed method for a fixed camera, dynamic camera and multi-view cameras with high accuracy. Furthermore, immersive free viewpoint navigation in sports events can also be completely realized based on the camera parameter estimated by the proposed method.","PeriodicalId":113192,"journal":{"name":"2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134253894","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: 8