2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)最新文献_第9页

DbHAaaS: Database High Availability as a Service DbHAaaS:数据库高可用性即服务

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.25

Chetan Jaiswal, Vijay Kumar

引用次数: 5

Group Intimacy and Network Formation 群体亲密和网络形成

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.24

Kibum Kim, Woo Seong Jo, Beom Jun Kim

{"title":"Group Intimacy and Network Formation","authors":"Kibum Kim, Woo Seong Jo, Beom Jun Kim","doi":"10.1109/SITIS.2015.24","DOIUrl":"https://doi.org/10.1109/SITIS.2015.24","url":null,"abstract":"Recent development of information technology allows us to efficiently communicate with others, sharing common interest and finding new friends. Numerous online communities are formed and disappear, but only a few survive the competition. Even after the survival, they eventually suffer from a decline as time goes on. Formation of a small intimate group within a community is often observed, and the members of this tightly-connected group play an important role providing strong activity in the community. However, the development of such an intimate group can exhibit a dark side effect: Other members in the community may feel left out and isolated, and newcomers may have hard time to join the already established intimacy. We believe that such a development of the tightly connected group of small number of intimate members can harm the further growth of the whole community, eventually reducing the community size. In this paper, we propose a growing network model in which the strength of the intimacy among members is a tunable control parameter. We observe how the size of the giant component is affected by the strength of the intimacy and find that it takes longer time for new nodes to make strong connections when the intimacy becomes stronger. Such alienated newcomers lose their connections and are driven out of the system, reducing the size of the connected component of the network.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133245364","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

Indoor Navigation System for Vision-Impaired Individual: An Application on Android Devices 视障人士室内导航系统:基于Android设备的应用

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.66

Varit Prudtipongpun, Wirawan Buakeaw, Thorntita Rattanapongsen, Mingmanas Sivaraksa

引用次数: 10

An Efficient Method for Link Prediction in Complex Multiplex Networks 复杂多路网络中一种有效的链路预测方法

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.93

Shikhar Sharma, Anurag Singh

{"title":"An Efficient Method for Link Prediction in Complex Multiplex Networks","authors":"Shikhar Sharma, Anurag Singh","doi":"10.1109/SITIS.2015.93","DOIUrl":"https://doi.org/10.1109/SITIS.2015.93","url":null,"abstract":"A great variety of artificial and natural systems can be abstracted into a set of entities interacting with each other. Such abstractions can very well represent the underlying dynamics of the system when modeled as network of vertices coupled by edges. Prediction of dynamics in these structures based on topological attribute or dependency relations is an important task. Link Prediction in such complex networks is regarded useful in almost all type of networks as it can be used to extract missing information, identify spurious interactions and evaluate network evolving mechanisms. Various similarity and likelihood based indices have been employed to infer different topological and relation based information to form a link prediction algorithm. These algorithms however are too specific in domain and/or do not encapsulate the generic nature of the real world information. In most natural and engineered systems, the entities are linked with multiple type of associations and relations which play a factor in the dynamics of the network. This forms a multiple subsystem or a multiple layer of networked information. These networks are regarded as Multiplex Networks. This work presents an approach for link prediction on Multiplex Networks where the associations are learned from the multiple layer of networks for link prediction purposes.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114469321","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: 17

Foreground Object Extraction Using Thresholding with Automatic Shadow Removal 使用阈值分割和自动阴影去除的前景对象提取

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.73

M. Singh, N. Nain, S. Panwar

引用次数: 3

Automatic Detection and Tracking of Animal Sperm Cells in Microscopy Images 显微镜图像中动物精子细胞的自动检测与跟踪

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.111

Ouadi Beya, M. Hittawe, D. Sidibé, F. Mériaudeau

{"title":"Automatic Detection and Tracking of Animal Sperm Cells in Microscopy Images","authors":"Ouadi Beya, M. Hittawe, D. Sidibé, F. Mériaudeau","doi":"10.1109/SITIS.2015.111","DOIUrl":"https://doi.org/10.1109/SITIS.2015.111","url":null,"abstract":"Sperm tracking-and-analysis is one of the interesting topics in biological research and reproductive medicine, as it helps to assess the quality of the sperm for the male infertility. Computer-Assisted Sperm Analysis (CASA) systems provide a rapid and automated assessment of the parameters of sperm motion, together with improved standardization and quality control. In this paper, we propose a method to detect and track animal sperms automatically. First, we detect the sperms in the first frame of all the sequences using a bag-of-words approach and SVM classifier. Then, the detected sperm cells are tracked in the rest of all sequences using mean-shift. The proposed algorithm is evaluated on three videos in our datasets which have sperms as ground truth. The experimental results show that our method achieves a precision of 0.94, 0.93 and 0.96, and are call of 0.96, 0.92, and 0.97 for the three videos respectively in terms of sperm detection. RMSE (Root mean square error) is calculated to evaluate our results in terms of sperms tracking. The results show that we achieve high performance with RMSE of 8.06, 9.01, and 7.09 pixels for three different videos.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122641644","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: 13

Structural Evolution of Stock Networks 股票网络的结构演化

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.118

Serkan Alkan, K. Khashanah

引用次数: 4

Towards a Scene-Based Video Annotation Framework 基于场景的视频标注框架

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.123

Fekade Getahun Taddesse, Mekuanent Birara

{"title":"Towards a Scene-Based Video Annotation Framework","authors":"Fekade Getahun Taddesse, Mekuanent Birara","doi":"10.1109/SITIS.2015.123","DOIUrl":"https://doi.org/10.1109/SITIS.2015.123","url":null,"abstract":"The amount of video in the web is huge and searching specific part of a video can be achieved using a content or text based video indexing, grouping, searching and retrieval approaches. To realize content based video searching, in this work we propose scene based video annotation for the identification and labeling of events and objects in a video with a descriptive text. Video annotation requires a knowledge base to define semantic meaning of events and objects in the video. Manual and semi-supervised video annotation approaches fail as both require expertise for the correct identification and labeling of video concepts. Annotation requires a great deal of concept dependency and relatedness processing to give descriptive statement to a scene in the video. This paper introduces a novel scene based video annotation framework to provide scene level semantic description of videos. The framework uses audio component of the scene to support event and object identification and has proper filtering and normalization. The framework provides concept relatedness, concept formulation, shot and scene level video annotations. To validate the capability of the proposed framework, we developed a prototype that shows a scene level video annotation. The framework is evaluated using a standard video processing evaluation dataset for its accuracy in event and object prediction, and the overall accuracy and usability of the system is evaluated using human ratings. The proposed approach exhibits 81% accuracy in object and event prediction and an average user rating of 3.47 out of 4 in overall system evaluation.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121041051","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

A Low-Complexity Interpolation Method for Single-Sensor Camera Imaging with White-RGB Color Filter Array 白- rgb彩色滤波器阵列单传感器相机成像的低复杂度插值方法

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.77

Xiangdong Chen, Liwen He, Jiaye Tang, Young-Sup Lee

{"title":"A Low-Complexity Interpolation Method for Single-Sensor Camera Imaging with White-RGB Color Filter Array","authors":"Xiangdong Chen, Liwen He, Jiaye Tang, Young-Sup Lee","doi":"10.1109/SITIS.2015.77","DOIUrl":"https://doi.org/10.1109/SITIS.2015.77","url":null,"abstract":"In this paper, we present low complexity interpolation method for single-sensor camera imaging with White-RGB color filter array (CFA). By observing the fact that the conventional WRGB image reproduction methods are based on unreliable color decomposition of the white signal in the three primary colors Red, Green and Blue. A robust estimation method is proposed to separate the green signal from the white signal. According to their symmetrical distribution, in the meanwhile, to coincide the sensitivity of the white signal with that of green signals, the green value in white pixel position is refined by the spectral correlation of the neighboring color ratio. Since the green color is populated robustly, the other color (Red, Blue) channels can be reproduced by conventional de mosaicking methods. Experimental analysis of images revealed that our proposed algorithm provided superior performance in terms of both objective and subjective image quality compared to conventional White-RGB algorithms. Our implementation has very low complexity and is therefore well suited for real-time applications.","PeriodicalId":128616,"journal":{"name":"2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117118707","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: 3

Exploiting Change Blindness for Image Compression 利用变化盲性进行图像压缩

2015 11th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) Pub Date : 2015-11-23 DOI: 10.1109/SITIS.2015.20

S. L. Moan, I. Farup

引用次数: 9