Proceedings of the 2nd International Conference on Vision, Image and Signal Processing最新文献

Perceptually Lossless Video Compression with Error Concealment 带有错误隐藏的感知无损视频压缩

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271622

C. Kwan, Eric Shang, T. Tran

引用次数: 9

An Improved Pseudo-Random Number Generator Based on the Logistic Chaotic 基于Logistic混沌的改进伪随机数发生器

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271565

Huilin Huang, Jingtao Yue

引用次数: 1

Theory and Applications of Time-Frequency Methods for Analysis of Non-Stationary Vibration and Seismic Signal 非平稳振动与地震信号时频分析的理论与应用

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271617

Roshan Kumar, Wei Zhao

引用次数: 4

Soft Subspace Clustering with a Multi-objective Evolutionary Approach 基于多目标进化方法的软子空间聚类

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271610

Shengdun Zhao, Liying Jin, Yuehui Wang, Wensheng Wang, Wei Du, Wei Gao, Yao Dou, Mengkang Lu

引用次数: 1

Review of Important Protein Search Algorithms 重要蛋白质搜索算法综述

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271608

Zheng An, Haoyu Yang, Haotian Zhou, Yawen Hou

引用次数: 0

Models and Representations of Gaussian Reciprocal and Conditionally Markov Sequences 高斯倒易和条件马尔可夫序列的模型和表示

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271598

R. Rezaie, X. Li

{"title":"Models and Representations of Gaussian Reciprocal and Conditionally Markov Sequences","authors":"R. Rezaie, X. Li","doi":"10.1145/3271553.3271598","DOIUrl":"https://doi.org/10.1145/3271553.3271598","url":null,"abstract":"Conditionally Markov (CM) sequences are powerful mathematical tools for modeling random phenomena. There are several classes of CM sequences one of which is the reciprocal sequence. Reciprocal sequences have been widely used in many areas including image processing, intelligent systems, and acausal systems. To use them in application, we need not only their applicable dynamic models, but also some general approaches to designing parameters of dynamic models. Dynamic models governing two important classes of nonsingular Gaussian (NG) CM sequences (called CML and CMF models), and a dynamic model governing the NG reciprocal sequence (called reciprocal CML model) were presented in our previous work. In this paper, these models are studied in more detail and general approaches are presented for their parameter design. It is shown that every reciprocal CML model can be induced by a Markov model and parameters of the reciprocal CML model can be obtained from those of the Markov model. Also, it is shown how NG CM sequences can be represented in terms of a NG Markov sequence and an independent NG vector. This representation provides a general approach for parameter design of CML and CMF models. In addition, it leads to a better understanding of CM sequences, including the reciprocal sequence.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126832763","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: 16

Comparative Analysis of Supervised Classifiers for Classification of Musical Notes on Mobile Based Applications 基于移动应用的有监督分类器音符分类的比较分析

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271575

Giuseppe Marotta Portal, Alberto Gonzáles Ghersi, P. Shiguihara-Juárez, Ricardo Valenzuela

{"title":"Comparative Analysis of Supervised Classifiers for Classification of Musical Notes on Mobile Based Applications","authors":"Giuseppe Marotta Portal, Alberto Gonzáles Ghersi, P. Shiguihara-Juárez, Ricardo Valenzuela","doi":"10.1145/3271553.3271575","DOIUrl":"https://doi.org/10.1145/3271553.3271575","url":null,"abstract":"Most of the work done in the field of Optical Music Recognition (OMR) is based on perfectly digitalized music scores or hand written ones as input for various algorithms developed with the goal to translate them into a language a machine can understand. However, when it comes to a mobile environment, external factors such as exposure to the elements play a huge role in the acquisition of the images. The preprocessing stage requires more attention in order to prepare the images to be classified and the classification stage has to take as little time as possible without affecting the results since we aren't working with desktop grade processing speeds. This work presents a comparative analysis between Support Vector Machine (SVM), Sequential Minimal Optimization for SVM (SMO), Multilayer Perceptron (MLP), Random Trees and Naive Bayes algorithms in the classification of whole notes, half notes, quarter notes and eight notes. This analysis is focused on the accuracy and time required to train the dataset for each classifier.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126886169","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

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing 第二届视觉、图像与信号处理国际会议论文集

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553

引用次数: 1

SSFCN-DCRF: Semantic Segmentation for Biomedical Image SSFCN-DCRF:生物医学图像的语义分割

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271612

Da Chen, Junmin Wu, Shuai Gao

引用次数: 0

A Low Complexity Reconfigurable IFIR Filter for Software Defined Radio Channelizers 一种用于软件定义无线电信道器的低复杂度可重构IFIR滤波器

Proceedings of the 2nd International Conference on Vision, Image and Signal Processing Pub Date : 2018-08-27 DOI: 10.1145/3271553.3271556

Raghu Indrakanti, E. Elias

{"title":"A Low Complexity Reconfigurable IFIR Filter for Software Defined Radio Channelizers","authors":"Raghu Indrakanti, E. Elias","doi":"10.1145/3271553.3271556","DOIUrl":"https://doi.org/10.1145/3271553.3271556","url":null,"abstract":"Reconfigurable digital filters with low hardware complexity are essential requirements in today's mobile technology, where the latest trend is to support multi-standard communication systems on the same device. In software defined radios (SDR), the bandwidths are to be allocated intelligently such that the spectrum utilization is efficient. SDR uses digital channelizers to extract multiple channels from a wideband signal. Here, sharp filters are required for minimum spectral efficiency and to have minimum interference from adjacent channels.The frequency response masking (FRM) technique has been proved to result in sharp digital filters with low complexity. However, FRM filters cannot be easily designed for very narrow bandwidth filters, which are required to realize most of the wireless standards. In this paper, we propose reconfigurable interpolated finite impulse response (IFIR) filters using Farrow structure, to realize the various wireless communication standards. A novel approach is proposed for the design of the filters in the IFIR structure, which results in lower hardware complexity reconfigurable structures, when compared to all the existing structures.","PeriodicalId":414782,"journal":{"name":"Proceedings of the 2nd International Conference on Vision, Image and Signal Processing","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125703186","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