2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)最新文献_第2页

A Large-Scale Compressed 360-Degree Spherical Image Database: From Subjective Quality Evaluation to Objective Model Comparison 大规模压缩360度球形图像数据库:从主观质量评价到客观模型比较

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547102

Wei Sun, Ke Gu, Siwei Ma, Wenhan Zhu, Ning Liu, Guangtao Zhai

{"title":"A Large-Scale Compressed 360-Degree Spherical Image Database: From Subjective Quality Evaluation to Objective Model Comparison","authors":"Wei Sun, Ke Gu, Siwei Ma, Wenhan Zhu, Ning Liu, Guangtao Zhai","doi":"10.1109/MMSP.2018.8547102","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547102","url":null,"abstract":"360-degree images/videos have been dramatically increasing in recent years. But the high resolution makes it difficult to be transported, compressed and stored, and thus constrains the development of 360-degree images/videos. Therefore, it is important to study how popular coding technologies influence the quality of 360-degree images. In this paper, we present a study on subjective assessment of compressed 360-degree images and investigate whether existing objective image quality assessment (IQA) methods can effectively evaluate the quality of compressed 360-degree images. We first construct the largest compressed 360-degree image database (CVIQD2018) including 16 source images and 528 compressed ones with three prevailing coding technologies. Then, we implement 16 full reference (FR) IQA metrics, which include 10 traditional IQA metrics for 2D images and 3 PSNR-based metrics for 360-degree images, as well as 5 no reference (NR) IQA metrics and calculate the correlation between each above metric and subjective assessment in terms of three commonly used performance indices. The experiment results reveal structure information, visual saliency information and compensation for geometric distortion are crucial for evaluating the quality of compressed 360-degree images.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129359301","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: 53

A Cloud Detection Algorithm for Remote Sensing Images Using Fully Convolutional Neural Networks 基于全卷积神经网络的遥感图像云检测算法

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547095

S. Mohajerani, Thomas A. Krammer, Parvaneh Saeedi

引用次数: 70

Online Music Performance Tracking Using Parallel Dynamic Time Warping 在线音乐表演跟踪使用并行动态时间翘曲

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547076

I-Chieh Wei, Li Su

引用次数: 1

Bone Age Assessment with X-Ray Images Based on Contourlet Motivated Deep Convolutional Networks 基于Contourlet动机深度卷积网络的x射线图像骨龄评估

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547082

Xun Chen, Chao Zhang, Yu Liu

{"title":"Bone Age Assessment with X-Ray Images Based on Contourlet Motivated Deep Convolutional Networks","authors":"Xun Chen, Chao Zhang, Yu Liu","doi":"10.1109/MMSP.2018.8547082","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547082","url":null,"abstract":"Bone age assessment (BAA) is a widely performed procedure for skeletal maturity evaluation in pediatric radiology. It has various clinical applications such as diagnosis of endocrine disorders, monitoring of growth hormone therapy and prediction of final adult height for adolescents. Recent studies indicate that deep learning techniques have great potential in developing automated BAA methods with significant improvements in terms of conventional computer-assisted approaches. In this paper, we propose a multi-scale feature fusion framework for bone age assessment based on deep convolutional neural networks. In our method, the non-subsampled contourlet transform (NSCT) is firstly performed on an input left-hand radiograph to obtain its multi-scale and multi-direction representations. Then, the decomposed bands at each scale are fed to a convolutional network that contains a series of convolutional and pooling layers for feature extraction, respectively. Finally, the feature maps from different branches are concatenated and put into a regression network consisting of several fully connected layers to obtain the bone age estimation. Experimental results on a public BAA dataset demonstrate that the proposed method can achieve state-of-the-art performance.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125550924","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: 4

Privacy-Preserving Age Estimation for Content Rating 内容评级的隐私保护年龄估计

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547144

Linwei Ye, Binglin Li, N. Mohammed, Yang Wang, Jie Liang

引用次数: 5

Beamforming with Partial Knowledge of the Acoustic Scenario 具有部分声学场景知识的波束形成

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547063

W. Kleijn, Christopher Laguna, Alejandro Luebs, Andrew MacDonald, J. Skoglund

引用次数: 0

Sound Environment Reproduction for Health and Safety Studies Using Microphone Arrays, Wave Field Synthesis and the Lasso Minimizer 使用麦克风阵列、波场合成和套索最小化器进行健康和安全研究的声音环境再现

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547135

Philippe-Aubert Gauthier, A. Berry

{"title":"Sound Environment Reproduction for Health and Safety Studies Using Microphone Arrays, Wave Field Synthesis and the Lasso Minimizer","authors":"Philippe-Aubert Gauthier, A. Berry","doi":"10.1109/MMSP.2018.8547135","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547135","url":null,"abstract":"Industrial workplaces often offer poor intelligibility and audibility of alarms. One of the most important sound signals on the workplace is the reversing alarm. Incidents related to the audibility of these alarms range from minor injuries to death. Perceptual studies are required to mitigate that risk with appropriate solutions. Since it is difficult to conduct large perceptual studies on site, sound field reproduction of workers' sound environments is an interesting avenue. This paper presents the sound field reproduction of working environments using microphone arrays, wave field synthesis, and the lasso minimizer (1-norm regularization). The aim is to experimentally verify the potential of the lasso to increase the spatial contrast, or precision, since it favors sparsity in the driving signals. Indeed, there is a spatial blur often obtained using inverse problem with 2-norm regularization which leads to non-sparse solution. At the light of the experimental results, accurate in-laboratory sound field reproduction of working environments is possible. The lasso minimizer can enhance the spatial contrast of the loudspeaker driving signal.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123080534","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

Hybrid-Based Facial Expression Recognition Approach for Human-Computer Interaction 基于混合的人机交互面部表情识别方法

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547081

Yacine Yaddaden, Mehdi Adda, A. Bouzouane, S. Gaboury, B. Bouchard

{"title":"Hybrid-Based Facial Expression Recognition Approach for Human-Computer Interaction","authors":"Yacine Yaddaden, Mehdi Adda, A. Bouzouane, S. Gaboury, B. Bouchard","doi":"10.1109/MMSP.2018.8547081","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547081","url":null,"abstract":"Human-Computer Interaction represents an important component in each device designed to be used by humans. Moreover, improving interaction leads to a better user experience and effectiveness of the designed device. One of the most intuitive ways of interaction remains emotions since they allow to understand and even predict the human behavior and react to it. Nevertheless, emotion recognition still challenging since emotions might be complex and subtle. In this paper, we introduce a new hybrid-based approach to identify emotions through facial expressions. We combine two different feature types that are geometric-based (from facial fiducial points) and appearance-based (from Discrete Wavelet Transform coefficients). Each one provides specific information about the six basic emotions to identify. Furthermore, we propose to use a multi-class Support Vector Machine architecture for classification and Extremely Randomized Trees as feature selection technique. Carried experimentation attests to the effectiveness of our approach since it yields 96.11%, 91.79% and 99.05% with three benchmark facial expression datasets namely JAFFE, KDEF and RaFD.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129613918","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: 5

An Adaptive Bandpass Filter Based on Temporal Spectrogram Analysis for Photoplethysmography Imaging 基于时间谱分析的光体积脉搏波成像自适应带通滤波器

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547129

T. Bloecher, Kai Zhou, Simon Krause, W. Stork

{"title":"An Adaptive Bandpass Filter Based on Temporal Spectrogram Analysis for Photoplethysmography Imaging","authors":"T. Bloecher, Kai Zhou, Simon Krause, W. Stork","doi":"10.1109/MMSP.2018.8547129","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547129","url":null,"abstract":"Photoplethysmography Imaging (PPGI) in the sense of remote vital sign measurement via camera has attracted high interest in recent years. The non-contact measurement principle allows the use in many health monitoring applications, like monitoring of newborns. Beyond that, there are interesting areas of application in the multimedia sector, such as measuring the reaction to multimedia content or heart rate based liveness detection for multimedia security. The derived signal of a PPGI algorithm is often referred as blood volume pulse signal (BVP). The signal corresponds to the optical signal of blood volume changes in the upper skin layers. Most current approaches use peak detection in frequency spectrum to estimate heart rate from BVP signals. However, we focus on heart rate computation based on beat-to-beat peak detection in time domain. In this paper, we present a method for adaptive bandpass filtering for PPGI based on temporal spectrogram analysis of the BVP signal with a sliding time window. The main goal of this new method is to further improve accuracy of beat-to-beat peak detection in time domain. The approach exploits the analysis of main frequency components of the BVP signal over time, to build a bandpass filter with adaptive cutoff frequencies in order to filter noise and interference. So far, state-of-the-art approaches have usually used fixed cut-off frequencies in the physiologically possible range of heart rate. The novelty of the proposed method lies in its simple but effective solution to reduce the influence of noise and interference in the PPGI signal to improve peak detection for heart rate estimation. We show the improvements applying the adaptive bandpass filter technique to four basic algorithmic approaches of PPGI, namely ICA, Chrominance, POS and 2SR and comparing against current state-of-the-art peak detection approaches. For the evaluation we used a database with videos of 26 subjects in 4 different scenarios, each lasting two minutes.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127644044","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: 5

Reduced-Reference Image Quality Assessment Based on Free-Energy Principle with Multi-Channel Decomposition 基于多通道分解自由能原理的减参图像质量评价

2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP) Pub Date : 2018-08-01 DOI: 10.1109/MMSP.2018.8547054

Wenhan Zhu, Guangtao Zhai, Yutao Liu, Ning Lin, Xiaokang Yang

{"title":"Reduced-Reference Image Quality Assessment Based on Free-Energy Principle with Multi-Channel Decomposition","authors":"Wenhan Zhu, Guangtao Zhai, Yutao Liu, Ning Lin, Xiaokang Yang","doi":"10.1109/MMSP.2018.8547054","DOIUrl":"https://doi.org/10.1109/MMSP.2018.8547054","url":null,"abstract":"The free-energy principle studied in brain theory and neuroscience accounts for the mechanism of perception and understanding in human brain, which is highly adapted for measuring the visual quality of perceptions. On the other hand, psychologists and neurologists report that different frequency and orientation components of one stimulus arouse different neurons in striate cortex. In this paper, a novel reduce-reference (RR) image quality assessment (IQA) metric based on free-energy principle in multi-channel is proposed, which is called MCFEM (Multi-Channel Free-Energy principle Metric). We first decompose the input reference image and distorted image via a two-level discrete Haar wavelet transform (DHWT). Next, the free-energy features of each subband images are computed based on sparse representation. Finally, an overall quality index is received through the support vector regressor (SVR). Extensive experimental comparisons on four (LIVE, CSIQ, TID2008 and TID2013) benchmark image databases demonstrate that the proposed method is highly competitive with the representative RR and no-reference models as well as full-reference ones.","PeriodicalId":137522,"journal":{"name":"2018 IEEE 20th International Workshop on Multimedia Signal Processing (MMSP)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114937789","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