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14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)最新文献

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Web-Scale Multimedia Data Management: Challenges and Remedies 网络规模的多媒体数据管理:挑战和补救措施
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.47
E. Chang
{"title":"Web-Scale Multimedia Data Management: Challenges and Remedies","authors":"E. Chang","doi":"10.1109/ICIAPW.2007.47","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.47","url":null,"abstract":"Text-based search engines have been flourishing. However, despite increasing needs of tools for organizing and searching imagery and video content, we have not seen a successful deployment of a Web-scale multimedia search engine. This talk (and paper) analyzes main technical challenges of such a deployment, and presents remedies in three areas: feature extraction, similarity characterization, and scalability.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131760405","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 Semiotic Framework for the Semantics of Digital Multimedia Learning Objects 数字多媒体学习对象语义的符号学框架
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.8
Michael May
{"title":"A Semiotic Framework for the Semantics of Digital Multimedia Learning Objects","authors":"Michael May","doi":"10.1109/ICIAPW.2007.8","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.8","url":null,"abstract":"The relevance of semiotics for extending multimedia description schemes will be shown relative to in existing strategies for indexing and retrieval. The semiotic framework presented is intended to support a compositional semantics of flexible digital multimedia objects. Besides semiotics insights from Formal Concept Analysis is utilized.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124126624","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
A Gamut Preserving Color Image Quantization 一种保持色域的彩色图像量化方法
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.6
J.-B. Thomas, A. Trémeau
{"title":"A Gamut Preserving Color Image Quantization","authors":"J.-B. Thomas, A. Trémeau","doi":"10.1109/ICIAPW.2007.6","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.6","url":null,"abstract":"We propose a new approach for color image quantization which preserves the shape of the color gamut of the studied image. Quantization consists to find a set of color representative of the color distribution of the image. We are looking here for an optimal LUT (look up table) which contains information on the image's gamut and on the color distribution of this image. The main motivation of this work is to control the reproduction of color images on different output devices in order to have the same color feeling, coupling intrinsic informations on the image gamut and output device calibration. We have developped a color quantization algorithm based on an image dependant sampling of the CIELAB color space. This approach overcomes classical approaches.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128379799","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: 10
Facial Expression Recognition: A Fully Integrated Approach 面部表情识别:一个完全集成的方法
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.25
R. Volenti, N. Sebe, T. Gevers
{"title":"Facial Expression Recognition: A Fully Integrated Approach","authors":"R. Volenti, N. Sebe, T. Gevers","doi":"10.1109/ICIAPW.2007.25","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.25","url":null,"abstract":"The most expressive way humans display emotions is through facial expressions. Humans detect and interpret faces and facial expressions in a scene with little or no effort. Still, development of an automated system that accomplishes this task is rather difficult. There are several related problems: detection of an image segment as a face, facial features extraction and tracking, extraction of the facial expression information, and classification of the expression (e.g., in emotion categories). In this paper, we present our fully integrated system which performs these operations accurately and in real time and represents a major step forward in our aim of achieving a humanlike interaction between the man and machine.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130401178","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: 55
DelosDLMS A Next-generation Digital Library Management System DelosDLMS新一代数字图书馆管理系统
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.20
G. Brettlecker, D. Milano, P. Ranaldi, H. Schuldt
{"title":"DelosDLMS A Next-generation Digital Library Management System","authors":"G. Brettlecker, D. Milano, P. Ranaldi, H. Schuldt","doi":"10.1109/ICIAPW.2007.20","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.20","url":null,"abstract":"DelosDLMS is a prototype of a next-generation digital library (DL) management system. Its core is a highly scalable and reliable middleware environment (OSIRIS) that allows combining and invoking distributed DL services. In addition to the ISIS Digital Library services that support content-based retrieval in multimedia collections, DelosDLMS has integrated a rich set of DL functionality from various partners within the DELOS network of excellence. These services include text and audio-visual searching, new information visualization and relevance feedback tools and novel interfaces. Moreover, DelosDLM allows retrieved information to be annotated and processed and also integrates reliable processing of sensor data streams.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133866608","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
Combining Features for Image Retrieval by Concept Lattice Querying and Navigation 结合特征的概念格查询与导航图像检索
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.18
Giuseppe Amato, C. Meghini
{"title":"Combining Features for Image Retrieval by Concept Lattice Querying and Navigation","authors":"Giuseppe Amato, C. Meghini","doi":"10.1109/ICIAPW.2007.18","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.18","url":null,"abstract":"Content-based image retrieval (CBIR for short) methods aim at capturing image similarity by relying on some specific characteristic of images such as color, texture and shape. The model we propose addresses the problem of exploring the image space applying multiple similarity criteria by representing the search for the images similar to a given image as the exploration of a lattice of (non-disjoint) image clusters, induced by a natural ordering criterion, based on similarity measures. The exploration proceeds in one of two basic ways: (1) by querying, the user can jump to any cluster of the lattice, by specifying the criteria that the sought cluster must satisfy; or (2) by navigation: from any cluster, the user can move to a neighbor cluster, thus exploiting the ordering amongst clusters.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134159267","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
K-Space Content Management and Retrieval System k空间内容管理与检索系统
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.32
E. Izquierdo, K. Chandramouli, M. Grzegorzek, T. Piatrik
{"title":"K-Space Content Management and Retrieval System","authors":"E. Izquierdo, K. Chandramouli, M. Grzegorzek, T. Piatrik","doi":"10.1109/ICIAPW.2007.32","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.32","url":null,"abstract":"In this contribution, the so-called \"k-space content management and retrieval system \" is presented. This multimodal framework is being developed within the K-Space project. K-Space is a network of leading European research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for automatic and semi-automatic annotation and retrieval of multimedia content. To the large number of the system functionalities count: automatic shot detection, key-frame extraction, mpeg-7 feature extraction, multimedia content annotation, video streaming, visual search and retrieval, relevance feedback, and visual content classification. First, the system features from the user point of view are presented. Second, the theoretical description of algorithms leading to these functionalities follows.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121675692","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: 12
Color Image Segmentation by Compacigram Analysis 基于压缩图分析的彩色图像分割
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.17
C. Botte-Lecocq, O. Losson, L. Macaire
{"title":"Color Image Segmentation by Compacigram Analysis","authors":"C. Botte-Lecocq, O. Losson, L. Macaire","doi":"10.1109/ICIAPW.2007.17","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.17","url":null,"abstract":"This work lies within the scope of color image segmentation by pixel classification. Classes of pixels are generally constructed by mode detection applied to the color histogram, but this method tends to fail when the color distributions of the different objects highly overlap in the color space. A new characteristic function of the distribution of the colors within the image is proposed here. The compacigram takes into account both the distribution of colors in the color space and the spatial location of colors in the image plane. Experimental tests on two reference images show that the mode detection technique based on a convexity analysis of the compacigram leads to promising results for segmentation purposes.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"160 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115895799","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: 8
Hybrid Ontology and Visual-Based Retrieval for Cultural Heritage Multimedia Libraries 混合本体与基于视觉的文化遗产多媒体图书馆检索
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.28
S. Vrochidis, C. Doulaverakis, L. Makris, A. Gounaris, E. Nidelkou, I. Kompatsiaris, M. Strintzis
{"title":"Hybrid Ontology and Visual-Based Retrieval for Cultural Heritage Multimedia Libraries","authors":"S. Vrochidis, C. Doulaverakis, L. Makris, A. Gounaris, E. Nidelkou, I. Kompatsiaris, M. Strintzis","doi":"10.1109/ICIAPW.2007.28","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.28","url":null,"abstract":"Nowadays, an increasingly growing demand for the creation of digital multimedia libraries is arising, as huge amounts of digital visual content are becoming available. The content that resides in these libraries should be easily retrievable and classified in order to be fully accessible. This paper introduces a hybrid multimedia retrieval model accompanied by the presentation of a search engine that is capable of retrieving visual content cultural heritage multimedia libraries as in three modes: (i) based on semantic annotation with the help of an ontology; (ii) based on the visual features with a view to finding similar content; and (iii) based on the combination of these two strategies. The main novelty is the way in which these two co-operate transparently during the evaluation of a single query in a hybrid fashion, making recommendations to the user and retrieving content that is both visually and semantically similar.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"4 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124375167","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
On the Scalability and Adaptability for Multimodal Retrieval and Annotation 多模态检索与标注的可扩展性与适应性研究
14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007) Pub Date : 2007-09-10 DOI: 10.1109/ICIAPW.2007.35
Zhongfei Zhang, Zhen Guo, C. Faloutsos, E. Xing, J.-Y. Pan
{"title":"On the Scalability and Adaptability for Multimodal Retrieval and Annotation","authors":"Zhongfei Zhang, Zhen Guo, C. Faloutsos, E. Xing, J.-Y. Pan","doi":"10.1109/ICIAPW.2007.35","DOIUrl":"https://doi.org/10.1109/ICIAPW.2007.35","url":null,"abstract":"This paper presents a highly scalable and adaptable co-learning framework on multimodal image retrieval and image annotation. The co-learning framework is based on the multiple instance learning theory. While this framework is a general framework that may be used in any specific domains, to evaluate this framework, we apply it to the Berkeley Drosophila ISH embryo image database for the evaluations of the retrieval and annotation performance. In addition, we also apply this framework to across-stage inferencing for the embryo images for knowledge discovery. We have compared the performance of the framework for retrieval, annotation, and inferencing on the Berkeley Drosophila ISH database with a state-of-the-art multimodal image retrieval and annotation method to demonstrate the effectiveness and the promise of the framework.","PeriodicalId":114866,"journal":{"name":"14th International Conference of Image Analysis and Processing - Workshops (ICIAPW 2007)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2007-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131275227","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
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