Pub Date : 2015-02-26DOI: 10.1109/RIVF.2015.7049880
V. Le, De Cao Tran
In this paper, a method to spot and recognize logos based on key-point matching is proposed. It is applied and tested on a document retrieval system. First, the pairs of matched key-points are estimated by the nearest neighbor matching rule based on the two nearest neighbors in SIFT descriptor space with Euclidean distance. Second, a post-filter with BRIEF descriptor space and hamming distance is used to re-filter the key-points which are rejected by the first step. Tested on a well-known benchmark database of real world documents containing logos Tobacco-800, our method performs an increase in the number of matched key-points of the method combined with BRIEF post-filter at the same accuracy level, and achieves a better performance than the state-of-the-art methods in the field of document retrieval.
{"title":"Key-point matching with post-filter using SIFT and BRIEF in logo spotting","authors":"V. Le, De Cao Tran","doi":"10.1109/RIVF.2015.7049880","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049880","url":null,"abstract":"In this paper, a method to spot and recognize logos based on key-point matching is proposed. It is applied and tested on a document retrieval system. First, the pairs of matched key-points are estimated by the nearest neighbor matching rule based on the two nearest neighbors in SIFT descriptor space with Euclidean distance. Second, a post-filter with BRIEF descriptor space and hamming distance is used to re-filter the key-points which are rejected by the first step. Tested on a well-known benchmark database of real world documents containing logos Tobacco-800, our method performs an increase in the number of matched key-points of the method combined with BRIEF post-filter at the same accuracy level, and achieves a better performance than the state-of-the-art methods in the field of document retrieval.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"AES-8 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132653972","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}
Pub Date : 2015-01-25DOI: 10.1109/RIVF.2015.7049888
Bui Thi My Anh, Serge Stinckwich, M. Ziane, B. Roche, Hô Tuòng Vinh
Mathematical modelling of infectious diseases often uses simulation models in order to explore transmission mechanisms and to plan potential management strategies to control the epidemics. However, bridging the gap between the conceptual model of epidemiology and its simulation on computer can lead to some issues related to the lack of expressiveness of implemented models and their reusability and adaptability to new circumstances due to detail computer instructions in General-purpose Programming Languages (GPLs). In this paper, we propose to develop a Domain Specific Language (DSL) for expressively specifying mathematical models of epidemiology and to construct a flexible simulation environment for investigating them. We then use our proposed approach to experiment the measles model in different epidemiological aspects. Our platform is also validated through statistical comparisons between time series generated and theoretical expectations, consequently keeping the link with literature on mathematical epidemiology.
{"title":"KENDRICK: A Domain Specific Language and platform for mathematical epidemiological modelling","authors":"Bui Thi My Anh, Serge Stinckwich, M. Ziane, B. Roche, Hô Tuòng Vinh","doi":"10.1109/RIVF.2015.7049888","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049888","url":null,"abstract":"Mathematical modelling of infectious diseases often uses simulation models in order to explore transmission mechanisms and to plan potential management strategies to control the epidemics. However, bridging the gap between the conceptual model of epidemiology and its simulation on computer can lead to some issues related to the lack of expressiveness of implemented models and their reusability and adaptability to new circumstances due to detail computer instructions in General-purpose Programming Languages (GPLs). In this paper, we propose to develop a Domain Specific Language (DSL) for expressively specifying mathematical models of epidemiology and to construct a flexible simulation environment for investigating them. We then use our proposed approach to experiment the measles model in different epidemiological aspects. Our platform is also validated through statistical comparisons between time series generated and theoretical expectations, consequently keeping the link with literature on mathematical epidemiology.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121189753","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}
Pub Date : 1900-01-01DOI: 10.1109/RIVF.2015.7049872
Tuan Anh Pham, Thi-Hoa-Hue Nguyen, Nhan Le Thanh
In order to ensure a workflow to be executed correctly, many approaches were introduced. But not many of them consider the semantic correctness of the workflow in the design time and the run time. In this paper, a solution to check the semantic correctness of the workflow automatically is presented. To do that, the workflow must be represented in a machine understandable form, an ontology-based approach to represent a workflow is proposed. In addition, we also provide a set of changed operations allowing the users to customize a workflow for using in their organizations. Their change can be made while ensuring the correctness of the workflow. Moreover, a verification method is proposed for checking the semantic correctness of workflow.
{"title":"Ontology-based workflow validation","authors":"Tuan Anh Pham, Thi-Hoa-Hue Nguyen, Nhan Le Thanh","doi":"10.1109/RIVF.2015.7049872","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049872","url":null,"abstract":"In order to ensure a workflow to be executed correctly, many approaches were introduced. But not many of them consider the semantic correctness of the workflow in the design time and the run time. In this paper, a solution to check the semantic correctness of the workflow automatically is presented. To do that, the workflow must be represented in a machine understandable form, an ontology-based approach to represent a workflow is proposed. In addition, we also provide a set of changed operations allowing the users to customize a workflow for using in their organizations. Their change can be made while ensuring the correctness of the workflow. Moreover, a verification method is proposed for checking the semantic correctness of workflow.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114940446","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}
Pub Date : 1900-01-01DOI: 10.1109/RIVF.2015.7049889
Van-Minh Le, Y. Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker
Nowadays, tsunami is becoming one of the most dangerous natural disasters. Most coastal regions face a potential risk of this kind of disaster. Along with the early warning system, evacuation is one of the first mitigation procedures to consider. The evacuation simulation then has received a lot of studies in recent years in the domain of computer science. In fact, there are always the part of evacuees (e.g. the tourist) who lack information of the evacuation map, which motivates us to study the problem of optimizing of guidance sign placement for tsunami evacuation.
{"title":"Hybrid of linear programming and genetic algorithm for optimizing agent-based simulation. Application to optimization of sign placement for tsunami evacuation","authors":"Van-Minh Le, Y. Chevaleyre, Hô Tuòng Vinh, Jean-Daniel Zucker","doi":"10.1109/RIVF.2015.7049889","DOIUrl":"https://doi.org/10.1109/RIVF.2015.7049889","url":null,"abstract":"Nowadays, tsunami is becoming one of the most dangerous natural disasters. Most coastal regions face a potential risk of this kind of disaster. Along with the early warning system, evacuation is one of the first mitigation procedures to consider. The evacuation simulation then has received a lot of studies in recent years in the domain of computer science. In fact, there are always the part of evacuees (e.g. the tourist) who lack information of the evacuation map, which motivates us to study the problem of optimizing of guidance sign placement for tsunami evacuation.","PeriodicalId":166971,"journal":{"name":"The 2015 IEEE RIVF International Conference on Computing & Communication Technologies - Research, Innovation, and Vision for Future (RIVF)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130032549","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：