2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)最新文献_第2页

GNSS reflectometryfor land surfa CES applications 地表CES应用的GNSS反射测量

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364506

M. Zribi, P. Fanise

引用次数: 0

Brief review of partial volume corrections in PET/CT for lung cancer assessment 简要回顾PET/CT部分体积校正在肺癌评估中的应用

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364481

Sourour Gargouri, A. Mouelhi, M. Sayadi, S. Labidi, Majdi Mahersi, S. Zayed

引用次数: 1

Comparative study of dimensionality reduction methods for remote sensing images interpretation 遥感影像解译降维方法的比较研究

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364490

A. Sellami, Mohamed Farah

引用次数: 7

JEM-post HEVC vs. HM-H265/HEVC performance and subjective quality comparison based on QVA metric JEM-post HEVC与HM-H265/HEVC性能及基于QVA度量的主观质量比较

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364455

Rihab Yousfi, Mohamed Ben Omor, Taheni Dammak, M. A. B. Ayed, N. Masmoudi

{"title":"JEM-post HEVC vs. HM-H265/HEVC performance and subjective quality comparison based on QVA metric","authors":"Rihab Yousfi, Mohamed Ben Omor, Taheni Dammak, M. A. B. Ayed, N. Masmoudi","doi":"10.1109/ATSIP.2018.8364455","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364455","url":null,"abstract":"Current trends on video technologies and services are demanding higher bitrates, higher video resolutions, and better video qualities. This issue results in the need of a new generation of video coding techniques to increase the quality and compression rates of previous standards. Recently, a new coding tool is been developed by the Joint Exploration team on Future Video Coding (JVET) to define the Post HEVC referred by the Joint Exploration test Model software (JEM) with the main goal is to provide a high bit rate saving compared to the previous HEVC standard. In this paper we present a performance-based comparison between the post HEVC and H265/HEVC under test Model (HM) through an objective measurements and a subjective quality metric. A set of video sequences, in two spatial resolutions Ultra-High Definition (UHD) and Digital Cinema Initiatives (DCI) has been encoded using both JEM version and HM version software at different bitrates. Results have shown that JEM obtains a higher bit rate performance compared to HM reference software. In addition another subjective metric called Video Quality Assessment metric (VQA) was used to validate the superiority of JEM outputted videos quality compared to those of HM for the same bit rate.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"152 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114049788","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

Detection of Moroccan coastal upwelling using the alpha blending fusion technique of sea surface chlorophyll images and sea surface temperature images 利用海面叶绿素图像和海面温度图像的α混合融合技术检测摩洛哥沿海上升流

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364336

Z. Abidi, K. Minaoui, A. Tamim, Hicham Laanaya

引用次数: 4

Optimization of bone SPECT image reconstruction based on a hybrid framework 基于混合框架的骨SPECT图像重建优化

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364473

Houimli Afef, Letaief Bechir, B. Issam, Ben Sellem Dorra

{"title":"Optimization of bone SPECT image reconstruction based on a hybrid framework","authors":"Houimli Afef, Letaief Bechir, B. Issam, Ben Sellem Dorra","doi":"10.1109/ATSIP.2018.8364473","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364473","url":null,"abstract":"Ordered subset expectation maximization (OSEM) is one of the most widely used reconstruction algorithm for Singlephoton emission computed tomography (SPECT) images reconstruction because of their efficiency in providing a better image quality. However, by increasing the number of subsets of this method, the convergence of this algorithm is speeded which can lead to undesirable noise levels amplification and inaccurate detection of lesion in low activity image regions. This paper presents a new algorithm for bone SPECT image reconstruction based on ordered subset expectation maximization (OSEM) algorithms and can remove the noise from images with the best degree of accuracy. In our proposed method, a de-noising pre-processing Butterworth filter is applied on the projections followed by OSEM algorithm to reconstruct 128 axial slices from a 128 enhanced sinograms, and finally we extract the coronal and sagittal slices from the enhanced axial slices volume. Our method was compared to Maximum Likelihood Expectation Maximization (MLEM) and OSEM techniques used only. Each method was tested on a three dimensional Shepp-Logan phantom and a bone SPECT database and evaluated qualitatively and quantitatively. The results show that the proposed method kept quantitative accuracy with preservation of the singularity and exhibited lower noise in low-activity regions while achieving high-resolution recovery in structures with high activity uptake in comparison to other methods.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116831436","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

New method of registration based on the theory of possibility 基于可能性理论的配准新方法

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364458

Wissal Ben Marzouka, B. Solaiman, K. Bsaïes, Zouhour Ben Dhief, A. Hammouda

引用次数: 0

Video speckle noise reduction using robust diffusion tensor in shearlet domain 基于剪切波域鲁棒扩散张量的视频散斑噪声抑制

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364523

Olfa Moussa, Nawrès Khlifa

引用次数: 2

Applying long short-term memory concept to hybrid “CD-NN-HMM” model for keywords spotting in continuous speech 长短期记忆概念在“CD-NN-HMM”混合模型中的应用

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364510

Hinda Dridi, K. Ouni

{"title":"Applying long short-term memory concept to hybrid “CD-NN-HMM” model for keywords spotting in continuous speech","authors":"Hinda Dridi, K. Ouni","doi":"10.1109/ATSIP.2018.8364510","DOIUrl":"https://doi.org/10.1109/ATSIP.2018.8364510","url":null,"abstract":"Recently, the Long Short Term Memory (LSTM) architecture has been shown outperforming other state-of-the-art approaches, such as Deep Neural Network (DNN) and Convolutional Neural Network (CNN), in performances of many speech recognition tasks. The LSTM network aims to further improve the modeling of long-range temporal dynamics and to remedy the vanishing and exploding gradient problems of conventional reccurent neural network (RNN). Motivated by the tremendous success of the LSTM, we present in this paper a systematic approach of keywords spotting (KWS) in continuous speech. This system performs on two stages, in first one the continuous speech is decoded into phonetic flow using an hybrid model based LSTM network in combination with Hidden Markov Model (HMM) built with the open source speech recognition toolkit Kaldi, and in the second stage the keywords will be identified and detected from this phones sequence using the Classification and Regression Tree (CART) implemented with the software MATLAB. The work and experiments are conducted on the TIMIT data set.","PeriodicalId":332253,"journal":{"name":"2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115047682","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

Efficient implementation of HEVC decoder on Zynq SoC platform HEVC解码器在Zynq SoC平台上的高效实现

2018 4th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2018-03-21 DOI: 10.1109/ATSIP.2018.8364342

L. Ayadi, H. Loukil, M. A. B. Ayed, N. Masmoudi

引用次数: 3