2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)最新文献_第7页

Deep acoustic-to-articulatory inversion mapping with latent trajectory modeling 基于潜在轨迹建模的声学-发音深度反演映射

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282219

Patrick Lumban Tobing, H. Kameoka, T. Toda

引用次数: 15

Hybrid EEG-NIRS brain-computer interface under eyes-closed condition 闭眼条件下脑电-近红外混合脑机接口

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282127

Jaeyoung Shin, K. Müller, Han-Jeong Hwang

引用次数: 1

Four-dimensional image compression with region of interest based on non-separable double lifting integer wavelet transform 基于不可分双提升整数小波变换的感兴趣区域四维图像压缩

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282329

Fairoza Amira Hamzah, Taichi Yoshida, M. Iwahashi

{"title":"Four-dimensional image compression with region of interest based on non-separable double lifting integer wavelet transform","authors":"Fairoza Amira Hamzah, Taichi Yoshida, M. Iwahashi","doi":"10.1109/APSIPA.2017.8282329","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282329","url":null,"abstract":"This paper increases the coding performance for four-dimensional (4D) image based on the region of interest (ROI) coding implemented in the non-separable double lifting structure of 4D integer wavelet transform (WT). The WT has succeeded its predecessor, the discrete cosine transform (DCT), which has been widely used in image compression international standard, the JPEG 2000 since more than a decade ago. The conventional lifting structure which is known as the separable structure has many rounding operators that will increase the rounding noise inside the transform. The higher the rounding noise inside the transform, the lower the coding performance. Thus, a non-separable structure of double lifting WT is introduced to reduce the rounding noise. The non-separable structure is compatible with the conventional wavelet-based JPEG 2000. Furthermore, an ROI coding based non-separable integer WT is proposed by utilizing both lossy and lossless compression and it was observed that the proposed method increased the coding performance of 4D image.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"319 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123330905","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

Investigating the use of scattering coefficients for replay attack detection 研究使用散射系数重放攻击检测

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282211

Kaavya Sriskandaraja, Gajan Suthokumar, V. Sethu, E. Ambikairajah

引用次数: 19

Efficient edge-oriented based image interpolation algorithm for non-integer scaling factor 基于边缘的非整数比例因子图像插值算法

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282202

Chia-Chun Hsu, Jian-Jiun Ding, Yih-Cherng Lee

{"title":"Efficient edge-oriented based image interpolation algorithm for non-integer scaling factor","authors":"Chia-Chun Hsu, Jian-Jiun Ding, Yih-Cherng Lee","doi":"10.1109/APSIPA.2017.8282202","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282202","url":null,"abstract":"Though image interpolation has been developed for many years, most of state-of-the-art methods, including machine learning based methods, can only zoom the image with the scaling factor of 2, 3, 2k, or other integer values. Hence, the bicubic interpolation method is still a popular method for the non-integer scaling problem. In this paper, we propose a novel interpolation algorithm for image zooming with non-integer scaling factors based on the gradient direction. The proposed method first estimates the gradient direction for each pixel in the low resolution image. Then, we construct the gradient map for the high resolution image by the spline interpolation method. Finally, the intensity of missing pixels can be computed by the weighted sum of the pixels in the pre-defined window. To preserve the edge information during the interpolation process, the weight is determined by the inner product of the estimated gradient vector and the vector from the missing pixel to the known data point. Simulations show that the proposed method has higher performance than other non-integer time scaling methods and is helpful for superresolution.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"63 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123187549","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

Exploiting imbalanced textual and acoustic data for training prosodically-enhanced RNNLMs 利用不平衡文本和声学数据训练韵律增强rnnlm

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282099

Michael Hentschel, A. Ogawa, Marc Delcroix, T. Nakatani, Yuji Matsumoto

引用次数: 1

A real time micro-expression detection system with LBP-TOP on a many-core processor 基于LBP-TOP的多核微表情实时检测系统

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282041

X. Soh, Vishnu Monn Baskaran, Adamu Muhammad Buhari, R. Phan

{"title":"A real time micro-expression detection system with LBP-TOP on a many-core processor","authors":"X. Soh, Vishnu Monn Baskaran, Adamu Muhammad Buhari, R. Phan","doi":"10.1109/APSIPA.2017.8282041","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282041","url":null,"abstract":"The implementation of a micro-expression detection system introduces challenges to sustain a real time recognition result. In order to surmount these problems, this paper examines the algorithm of a serial Local Binary Pattern from Three Orthogonal Planes (LBP-TOP) in order to identify the performance limitations for real time system. Videos from SMIC and CASMEII were up sampled to higher resolutions (280×340, 560×680 and 1120×1360) to cater the need of real life implementation. Then, a parallel multicore-based LBP-TOP algorithm is studied as a benchmark. Experimental results show that the parallel LBP-TOP algorithm exhibits 7× and 8× speedup against serial LBP-TOP for SMIC and CASMEII database respectively for the highest tested video resolution utilising 24- logical processor multi-core architecture. To further reduce the computational time, this paper also proposes a many-core parallel LBP-TOP algorithm using Compute Unified Device Architecture (CUDA). In addition, a method is designed to calculate the threads and blocks required to launch the kernel when processing videos from different resolutions. The proposed algorithm increases the performance speedup to 117× and 130× against the serial algorithm for the highest tested resolution videos.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126129679","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

Prediction techniques for wavelet based 1-D signal compression 基于小波变换的一维信号压缩预测技术

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8281996

I-Hsiang Wang, Jian-Jiun Ding, H. Hsu

引用次数: 1

A rail detection algorithm based on pair particles filtering 一种基于对粒子滤波的轨道检测算法

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282258

Ji-Sang Bae, Jong-Ok Kim

引用次数: 0

Epileptic focus localization based on bivariate empirical mode decomposition and entropy 基于二元经验模态分解和熵的癫痫病灶定位

2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) Pub Date : 2017-12-01 DOI: 10.1109/APSIPA.2017.8282255

Tatsunori Itakura, Toshihisa Tanaka

{"title":"Epileptic focus localization based on bivariate empirical mode decomposition and entropy","authors":"Tatsunori Itakura, Toshihisa Tanaka","doi":"10.1109/APSIPA.2017.8282255","DOIUrl":"https://doi.org/10.1109/APSIPA.2017.8282255","url":null,"abstract":"Epilepsy is a neurological disorder which causes abnormal discharges in the brain. Epileptic focus localization is a important factor for successful epilepsy surgery. The intracranial electroencephalogram (iEEG) is the most used signal for detecting epileptic focus. The iEEG signals are obtained from a publicly available database that consists of 7,500 signal pairs. To this dataset, empirical mode decomposition (EMD) has been successfully applied to detect the epileptic focus. However, the EMD method is not suitable for iEEG signal pairs. In this paper, a method for the classification of focal and non-focal iEEG signals using bivariate EMD (BEMD) is presented. The bivariate iEEG signals are decomposed the into signal components of the same frequency band. Various entropy measures calculated from the IMFs of the iEEG signals. Then, some or all of the entropies are chosen as features, which are discriminated into focal or non-focal iEEG by using the support vector machine (SVM). Experimental results show that the proposed method is able to differentiate the focal from non-focal iEEG signals with an average classification accuracy of 86.89%.","PeriodicalId":142091,"journal":{"name":"2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129410428","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: 28