2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)最新文献

Biomimetic target detection: Modeling 2nd order correlation of OFF and ON channels 仿生目标检测:OFF和ON通道的二阶相关建模

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583842

S. Wiederman, D. O’Carroll

{"title":"Biomimetic target detection: Modeling 2nd order correlation of OFF and ON channels","authors":"S. Wiederman, D. O’Carroll","doi":"10.1109/CIMSIVP.2013.6583842","DOIUrl":"https://doi.org/10.1109/CIMSIVP.2013.6583842","url":null,"abstract":"Flying insects have proven to be valuable animal models in elucidating the computational processes underlying visual motion detection. For example, wide-field motion processing (optic flow) in the insect visual system has been investigated from both behavioral and physiological perspectives [1] resulting in computational models with diverse applications [2,3]. However, insects must also extract the movement of prey or conspecifics from their environment, therefore have the capability of detecting and interacting with small moving targets, even amidst swarms [4,5]. Using electrophysiological techniques, we record from small target motion detector (STMD) neurons in the insect brain, likely to underlie these behaviors. We previously proposed an `elementary' small target motion detector (ESTMD) model of STMDs that accounts for their size and velocity tuning, as well as their ability to discriminate targets against cluttered surrounds [6-8]. However, other properties such as directionality [9], facilitated responses [10] and high contrast sensitivity [11] are not accounted for in this model. Here we propose two model variants that cascade the ESTMD with a traditional motion detection model, the Hassenstein Reichardt `elementary motion detector' (EMD) [12]. We show that these elaborations maintain core STMD properties as well as model directionality and highly expansive contrast sensitivity. By encapsulating the properties of STMD neurons we aim to develop computational models that can simulate these insects remarkable capability of target discrimination and pursuit for application in robotics and artificial vision systems.","PeriodicalId":335663,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132653083","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

Robust gesture detection and recognition using dynamic time warping and multi-class probability estimates 鲁棒手势检测和识别使用动态时间翘曲和多类概率估计

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583844

P. PramodKumar, Martin Saerbeck

引用次数: 20

Using fuzzy rough feature selection for image retrieval system 基于模糊粗糙特征选择的图像检索系统

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583846

M. S. Lotfabadi, M. F. Shiratuddin, K. Wong

{"title":"Using fuzzy rough feature selection for image retrieval system","authors":"M. S. Lotfabadi, M. F. Shiratuddin, K. Wong","doi":"10.1109/CIMSIVP.2013.6583846","DOIUrl":"https://doi.org/10.1109/CIMSIVP.2013.6583846","url":null,"abstract":"Feature selection is an important step in processing the images especially for applications such as content based image retrieval. In large multimedia databases, it may not be practical to search through the entire database in order to retrieve similar images from a query. Good data structures for similarity search and indexing are needed, and the existing data structures do not scale well for the high dimensional multimedia descriptors. Thus feature selection is an important step. Fuzzy rough feature selection method has many advantages in determining the relevant features. In this paper, five feature selection methods are compared with the fuzzy rough method. These five feature selection methods are Relief-F, Information Gain, Gain Ratio, OneR and the statistical measure χ2. The main purpose of the comparison is to rank the image features and see which method provides better results. An image retrieval dataset (COREL dataset) was used in the comparison. In order to evaluate the performance of the six methods, ranking of the important features is defined. This is then used to compare with the automated ranking produced by the aforesaid feature selection methods. Results show that the retrieval system using fuzzy rough feature selection has better retrieval accuracy and provide good Precision Recall performance. The advantages of the use of fuzzy rough feature selection will also be discussed in the paper.","PeriodicalId":335663,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126049013","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: 9

Smooth transition neighborhood graphs for 3D spatial relations 三维空间关系的平滑过渡邻域图

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583841

C. Sabharwal, J. Leopold

引用次数: 4

A novel algorithm for detecting dim point target in infrared images based on MRF 基于磁流变成像的红外图像弱点目标检测新算法

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583843

Z. Zuo, Yongjian Zhao

引用次数: 0

Regularized high temporal resolution fish motion synthesis 正则化高时间分辨率鱼类运动合成

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583845

Jing Tian, H. Eng

引用次数: 1

Forward-backward minima controlled recursive averaging to speech enhancement 前向-后向最小控制递归平均语音增强

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583847

Yeou-Jiunn Chen, J. Wu

引用次数: 2

Efficient determination of spatial relations using composition tables and decision trees 使用组合表和决策树有效地确定空间关系

2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP) Pub Date : 2013-04-16 DOI: 10.1109/CIMSIVP.2013.6583840

Nathan Eloe, J. Leopold, C. Sabharwal, Douglas McGeehan

{"title":"Efficient determination of spatial relations using composition tables and decision trees","authors":"Nathan Eloe, J. Leopold, C. Sabharwal, Douglas McGeehan","doi":"10.1109/CIMSIVP.2013.6583840","DOIUrl":"https://doi.org/10.1109/CIMSIVP.2013.6583840","url":null,"abstract":"In order for Qualitative Spatial Reasoning applications to be both useful and usable, the information feedback loop between the computational engine and the user must be as seamless as possible. Inherently, computational geometry can be quite expensive, and every effort must be made to avoid inefficient or unnecessary calculations. Within the field of Region Connection Calculi, the 9-Intersection model often is used to determine the spatial relation between two regions. Consequently, optimization efforts typically focus on calculations involving the intersections between the interiors, boundaries, and exteriors of the regions, or the use of composition tables to narrow down the possibilities for the relations that can hold between two regions. The few implementations of spatial reasoners that have been attempted have been simply proofs-of-concept and/or have been limited to two dimensions. Herein we present a novel approach that combines the use of composition tables and decision trees to efficiently determine the spatial relation between two objects in 3D considering both connectivity and obscuration. This approach has been fully implemented for the VRCC-3D+ spatial reasoning system, and benchmarks are included to corroborate our claims of efficiency.","PeriodicalId":335663,"journal":{"name":"2013 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP)","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134420391","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: 6