2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System最新文献_第6页

Passage Retrieval Using Graph Vertices Comparison 使用图顶点比较的通道检索

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.82

T. Dkaki, J. Mothe, Q. Truong

引用次数: 7

Automatic Extending HowNet's Attribute Lexicon on the Web 在Web上自动扩展HowNet的属性词典

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.28

Jinglei Zhao, Hui Liu, R. Lu

引用次数: 0

Semantic Tolerance-Based Image Representation for Large Image/Video Retrieval 基于语义容忍的大型图像/视频检索图像表示

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.71

Ying Dai

{"title":"Semantic Tolerance-Based Image Representation for Large Image/Video Retrieval","authors":"Ying Dai","doi":"10.1109/SITIS.2007.71","DOIUrl":"https://doi.org/10.1109/SITIS.2007.71","url":null,"abstract":"The nature of the concepts regarding multimedia in many domains is imprecise, and the interpretation of finding similar media is also ambiguous and subjective on the level of human perception. To solve these problems, in this paper, semantic categories of images or key frames which are extracted for representing the segments of a video, and the tolerance degree between the categories are defined systematically, and the approach of modeling tolerance relations between the semantic classes is proposed. Furthermore, for removing the induced false tolerance in the produce of using semantic tolerance relation model, the method of un-tolerating is introduced in image/key frame representation. On the other hand, a diagram of semantic tolerance-based image/video automatic representation is described, and the structure of large image/video retrieval using image/video semantic representation is proposed. We apply the proposed approach to the representations of images regarding the nature vs. man-made domain, human vs. non-human domain, and temporal domain, and show the categorization results of using and not using semantic tolerance relation model. Furthermore, the mechanism of the semantic representation and retrieval for large image/video data proposed in this paper is compared with the state-of-the-art methods. The results show the effectiveness of proposed method.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122242697","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: 5

Timed Modeling of Web Services Composition for Automatic Testing 用于自动测试的Web服务组合的定时建模

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.110

M. Lallali, Fatiha Zaïdi, A. Cavalli

引用次数: 34

Content-Based Shape Search of 3D CAD Models with Relevance Feedback 基于内容的三维CAD模型形状搜索与相关反馈

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.49

Jiale Wang, Hongming Cai, Yuan-jun He, Y. Zhang

引用次数: 3

Multi-class Boosting with Color-Based Haar-Like Features 基于颜色的haar类特征的多类增强

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.119

Wen-Chung Chang, Chih-Wei Cho

{"title":"Multi-class Boosting with Color-Based Haar-Like Features","authors":"Wen-Chung Chang, Chih-Wei Cho","doi":"10.1109/SITIS.2007.119","DOIUrl":"https://doi.org/10.1109/SITIS.2007.119","url":null,"abstract":"This paper presents a multi-class boosting algorithm employing color-based Haar-like features. Traditional multi-class boosting algorithms basically regard multi-class problems as extensions of two-class problems. In particular, additional strong classifiers must be parallelly extended once the number of target classes increases. The idea in the proposed approach is to develop a single strong classifier which is capable of resolving multi-class problems. To make the multi-class algorithm tractable, the proposed system is required to select a set of weak classifiers which could classify multiple types of targets correctly. In contrast to standard Haar-like features that compute feature values based on gray level images, the seemingly novel Haar-like features require computation based on color images. Since the mapping from color image space to gray level image space is an epimorphism, detection algorithms using standard Haar-like features inevitably disregard color information available in original color images. Strong classifiers adopting the proposed color-based Haar-like features typically appear to have comparable performance, in the aspects of detection and correct classification rates, with fewer weak classifiers when compared with the one employing standard Haar-like features. The proposed boosting algorithm can improve system efficiency and resolve multi-class problems by a single strong classifier, whereas existing approaches are more complicated and the number of two-class classifiers could be relatively large. Our approach has been successfully validated in real traffic environments by performing experiments with a CCD camera mounted onboard a highway vehicle, where the targets are defined as passenger cars and motorcycles.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130226536","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

Extraction of Ambiguous Sequential Patterns with Least Minimum Generalization from Mismatch Clusters 基于最小概化的错配簇模糊序列模式提取

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.104

Kotaro Araki, Keiichi Tamura, Tomoyuki Kato, Y. Mori, H. Kitakami

{"title":"Extraction of Ambiguous Sequential Patterns with Least Minimum Generalization from Mismatch Clusters","authors":"Kotaro Araki, Keiichi Tamura, Tomoyuki Kato, Y. Mori, H. Kitakami","doi":"10.1109/SITIS.2007.104","DOIUrl":"https://doi.org/10.1109/SITIS.2007.104","url":null,"abstract":"An ambiguous query in sequence databases returns a set of similar subsequences, called a mismatch cluster, to the user. The inherent problem is that it is difficult for users to identify the characteristics of very large similar subsequences in a mismatch cluster. In order to support user comprehension of mismatch clusters, it is important to extract a set of ambiguous sequence patterns with the least minimum generalization in the mismatch cluster. The extraction of the ambiguous sequential pattern set requires an enormous amount of computational time, since we have to discover generalized patterns with minimum covers for the mismatch cluster from candidate generalized patterns. The present paper is a proposal for an iterative refinement method to extract ambiguous sequence patterns with minimum cover for mismatch clusters selected from a sequence database. It includes a proposal to use the method with a domain segmentation method to achieve an efficient pattern extraction. Moreover, a prototype implementing the two proposed methods has been applied to three datasets included in PROSITE in order to evaluate their usefulness. The proposed methods resulted in a high capability to extract ambiguous sequential patterns from mismatch clusters that are provided by an ambiguous query in the sequence database.","PeriodicalId":234433,"journal":{"name":"2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127246272","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

A Receipt-Free Punch-Hole Ballot Electronic Voting Scheme 免收据打孔选票电子投票计划

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.15

Han Wei, D. Zheng, Kefei Chen

引用次数: 4

Improved JPEG Scheme Based on Adaptive Block Encoding 基于自适应块编码的改进JPEG方案

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.149

Yuan-Hui Yu, Chinchen Chang, Yu-Chen Hu

引用次数: 0

A Practical Web Testing Model for Web Application Testing 一个实用的Web应用程序测试模型

2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System Pub Date : 2007-12-16 DOI: 10.1109/SITIS.2007.16

Zhong-sheng Qian, Huai-kou Miao, Hong-wei Zeng

引用次数: 23