2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)最新文献_第6页

A progressive method of face clustering for mobile phone applications 一种用于手机应用的渐进式人脸聚类方法

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763613

S. Velusamy, Pratibha Moogi

{"title":"A progressive method of face clustering for mobile phone applications","authors":"S. Velusamy, Pratibha Moogi","doi":"10.1109/SPA.2016.7763613","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763613","url":null,"abstract":"We present a progressive method of applying easy-to-hard grouping technique that applies increasingly sophisticated feature descriptors and classifiers on reducing number of image samples from each of the iteratively generated clusters. The primary goal of the proposed approach is to design a cost effective face clustering method to deploy on low-power devices like Mobile phones, while handling various face related real-world challenges like head-pose variations, expressions, make-up, etc. Initially, the proposed method applies K-Means technique with relatively large K value on LBP features of the input faces to create high precision clusters, which may have low recall rates (faces of a single person falls into multiple clusters). The multiple clusters of same individuals generated are then progressively merged by applying sophisticated features like Gabor filters, Gabor jets and sub-space modelling strategies. The method considers reduced number of non-redundant faces from each of the intermediate clusters to the higher stages of clustering to achieve a compute efficient solution that is suitable for mobile devices. Our experiments on the standard databases like YouTube Celebrities, Multi-Pie, Extended Yale-B, CK+, MindReading and internally collected images/videos from mobile phone albums demonstrate the effectiveness of proposed approach as compared to state-of-the-art methods as well as an existing solution on a flagship mobile phone.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"4 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":"133700862","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

Iterative error correction with double/triple error detection 迭代纠错与双重/三重错误检测

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763579

P. Pfeifer, H. Vierhaus

引用次数: 5

A concept of signal equalization method based on music genre and the listener's room characteristics 一种基于音乐类型和听众房间特征的信号均衡方法的概念

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763615

Piotr Hoffmann, B. Kostek

{"title":"A concept of signal equalization method based on music genre and the listener's room characteristics","authors":"Piotr Hoffmann, B. Kostek","doi":"10.1109/SPA.2016.7763615","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763615","url":null,"abstract":"A research study that investigates the influence of the room acoustics environment on the frequency characteristic of the audio signal playback is presented. First, a novel spectral equalization method of the room acoustic conditions is introduced. On the basis of the frequency response of the room, a system for room acoustics compensation based on eight-band equalizer is proposed. The system settings depend on music genre. In order to acquire room acoustic characteristics, a series of measurements are performed. Reverberation times and frequency responses of four rooms are acquired. White noise serving as reference signal and audio excerpts belonging to six music genres are utilized in measurements. For audio normalization LUFS (Loudness Unit, referenced to Full Scale) scale is employed, therefore all audio tracks are adjusted to −23 LUFS signal level. Recorded signals in the listener's receiver position are then used to obtain room equalization characteristics. A comparison between the results obtained with the method introduced and a traditional graphic equalizer, based on preliminary subjective tests, is given. It is shown that room equalization based on the method proposed is effective in room acoustic deficiencies improvement.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"62 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":"123919251","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

Euclidean proximity function in image processing 图像处理中的欧几里德接近函数

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763623

Paweł M. Stasik

引用次数: 3

Audio/speech coding using the matching pursuit with frame-based psychoacoustic optimized time-frequency dictionaries and its performance evaluation 基于帧的心理声学优化时频字典匹配追踪的音频/语音编码及其性能评价

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763617

A. Petrovsky, Vadzim Herasimovich, A. Petrovsky

{"title":"Audio/speech coding using the matching pursuit with frame-based psychoacoustic optimized time-frequency dictionaries and its performance evaluation","authors":"A. Petrovsky, Vadzim Herasimovich, A. Petrovsky","doi":"10.1109/SPA.2016.7763617","DOIUrl":"https://doi.org/10.1109/SPA.2016.7763617","url":null,"abstract":"This paper presents an audio/speech coding algorithm using the matching pursuit with the dynamic dictionary forming based on wavelet packet decomposition and its performance evaluation. The proposed methodology for selecting the most relevant wavelet coefficients is based on maximizing the matching between the auditory excitation scalograms associated with the original and the modeled signal correspondingly. The major advantage of this method is that the wavelet packet dictionary is perceptually optimized for each signal segment. It is obtained to reduce the number of the coefficients required to achieve a given perceptual distortion. Flexibility of the presented algorithm gives a possibility to change bitrate depending on the transmission channel limitation. Objective evaluation of the reconstructed audio signals by PEMO-Q model and comparison with the modern popular audio encoders such as Opus and Vorbis is provided. Received results show the high quality of the reconstructed signal of the proposed audio/speech coder.","PeriodicalId":413894,"journal":{"name":"2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA)","volume":"53 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":"125681467","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

Comparison of acoustic and visual voice activity detection for noisy speech recognition 噪声语音识别中声学和视觉语音活动检测的比较

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763629

P. Bratoszewski, G. Szwoch, A. Czyżewski

引用次数: 4

Performance evaluation of the parallel object tracking algorithm employing the particle filter 采用粒子滤波的并行目标跟踪算法的性能评价

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763598

G. Szwoch

引用次数: 9

Predicting MR angiography image appearance for realistic models of stenosed carotid and renal arteries 预测现实模型颈动脉和肾动脉狭窄的MR血管造影图像外观

2016 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) Pub Date : 2016-09-01 DOI: 10.1109/SPA.2016.7763636

A. Klepaczko, L. Stefanczyk

引用次数: 0