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Semantic Mining Technologies for Multimedia Databases最新文献

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Face Recognition and Semantic Features 人脸识别与语义特征
Semantic Mining Technologies for Multimedia Databases Pub Date : 2009-12-01 DOI: 10.4018/978-1-60566-188-9.CH003
Huiyu Zhou, Yuanzhuo Yuan, Chunmei Shi
{"title":"Face Recognition and Semantic Features","authors":"Huiyu Zhou, Yuanzhuo Yuan, Chunmei Shi","doi":"10.4018/978-1-60566-188-9.CH003","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH003","url":null,"abstract":"The authors present a face recognition scheme based on semantic features' extraction from faces and tensor subspace analysis. These semantic features consist of eyes and mouth, plus the region outlined by three weight centres of the edges of these features. The extracted features are compared over images in tensor subspace domain. Singular value decomposition is used to solve the eigenvalue problem and to project the geometrical properties to the face manifold. They compare the performance of the proposed scheme with that of other established techniques, where the results demonstrate the superiority of the proposed method.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"279 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115668299","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
Compressed-Domain Image Retrieval Based on Colour Visual Patterns 基于彩色视觉模式的压缩域图像检索
Semantic Mining Technologies for Multimedia Databases Pub Date : 2009-12-01 DOI: 10.4018/978-1-60566-188-9.CH017
G. Schaefer
{"title":"Compressed-Domain Image Retrieval Based on Colour Visual Patterns","authors":"G. Schaefer","doi":"10.4018/978-1-60566-188-9.CH017","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH017","url":null,"abstract":"Image retrieval and image compression have been typically pursued separately. Only little research has been done on a synthesis of the two by allowing image retrieval to be performed directly in the compressed domain of images without the need to uncompress them first. In this chapter the authors show that such compressed domain image retrieval can indeed be done and lead to effective and efficient retrieval performance. They introduce a novel compression algorithm - colour visual pattern image coding (CVPIC) - and present several retrieval algorithms that operate directly on compressed CVPIC data. Their experiments demonstrate that it is not only possible to realise such midstream content access, but also that the presented techniques outperform standard retrieval techniques such as colour histograms and colour correlograms.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128874074","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
Multimedia Data Indexing 多媒体数据索引
Semantic Mining Technologies for Multimedia Databases Pub Date : 2009-12-01 DOI: 10.4018/978-1-60566-188-9.CH019
Zhuo Li, Yun Fu, Jun Yuan, Ying Wu, A. Katsaggelos, Thomas S. Huang
{"title":"Multimedia Data Indexing","authors":"Zhuo Li, Yun Fu, Jun Yuan, Ying Wu, A. Katsaggelos, Thomas S. Huang","doi":"10.4018/978-1-60566-188-9.CH019","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH019","url":null,"abstract":"The.rapid.advances.in.multimedia.capture,.storage.and.communication.technologies.and.capabilities. have.ushered.an.era.of.unprecedented.growth.of.digital.media.content,.in.audio,.visual,.and.synthetic. forms,.and.both.individually.and.commercially.produced...How.to.manage.these.data.to.make.them. more.accessible.and.searchable.to.users.is.a.key.challenge.in.current.multimedia.computing.research.. In.this.chapter,.the.authors.discuss.the.problems.and.challenges.in.multimedia.data.management,.and. review.the.state.of.the.art.in.data.structures.and.algorithms.for.multimedia.indexing,.media.feature.space. management.and.organization,.and.applications.of.these.techniques.in.multimedia.data.management..","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123383582","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
Intuitive Image Database Navigation by Hue-Sphere Browsing 通过Hue-Sphere浏览直观的图像数据库导航
Semantic Mining Technologies for Multimedia Databases Pub Date : 2009-12-01 DOI: 10.4018/978-1-60566-188-9.CH011
G. Schaefer, S. Ruszala
{"title":"Intuitive Image Database Navigation by Hue-Sphere Browsing","authors":"G. Schaefer, S. Ruszala","doi":"10.4018/978-1-60566-188-9.CH011","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH011","url":null,"abstract":"Efficient and effective techniques for managing and browsing large image databases are increasingly sought after. This chapter presents a simple yet efficient and effective approach to navigating image datasets. Based on the concept of a globe as visualisation and navigation medium, thumbnails are projected onto the surface of a sphere based on their colour. Navigation is performed by rotating and tilting the globe as well as zooming into an area of interest. Experiments based on a medium size image database demonstrate the usefulness of the presented approach. © 2009, IGI Global.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"216 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115251052","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
Video Representation and Processing for Multimedia Data Mining 多媒体数据挖掘中的视频表示与处理
Semantic Mining Technologies for Multimedia Databases Pub Date : 2009-04-01 DOI: 10.4018/978-1-60566-188-9.CH001
Amr Ahmed
{"title":"Video Representation and Processing for Multimedia Data Mining","authors":"Amr Ahmed","doi":"10.4018/978-1-60566-188-9.CH001","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH001","url":null,"abstract":"Video processing and segmentation are important stages for multimedia data mining, especially with the advance and diversity of video data available. The aim of this chapter is to introduce researchers, especially new ones, to the “video representation, processing, and segmentation techniques”. This includes an easy and smooth introduction, followed by principles of video structure and representation, and then a state-of-the-art of the segmentation techniques focusing on the shot-detection. Performance evaluation and common issues are also discussed before concluding the chapter.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121410495","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
Applications of Semantic Mining on Biological Process Engineering 语义挖掘在生物过程工程中的应用
Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-188-9.CH010
H. Gabbar, Naila Mahmut
{"title":"Applications of Semantic Mining on Biological Process Engineering","authors":"H. Gabbar, Naila Mahmut","doi":"10.4018/978-1-60566-188-9.CH010","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH010","url":null,"abstract":"Semantic.mining.is.an.essential.part.in.knowledgebase.and.decision.support.systems.where.it.enables.the. extraction.of.useful.knowledge.form.available.databases.with.the.ultimate.goal.of.supporting.the.decision. making.process..In.process.systems.engineering,.decisions.are.made.throughout.plant./.process./.product. life.cycles..The.provision.of.smart.semantic.mining.techniques.will.improve.the.decision.making.process. for.all.life.cycle.activities..In.particular,.safety.and.environmental.related.decisions.are.highly.dependent.on.process.internal.and.external.conditions.and.dynamics.with.respect.to.equipment.geometry.and. plant.layout..This.chapter.discusses.practical.methods.for.semantic.mining.using.systematic.knowledge. representation.as.integrated.with.process.modeling.and.domain.knowledge..POOM.or.plant/process. object.oriented.modeling.methodology.is.explained.and.used.as.a.basis.to.implement.semantic.mining.as. applied.on.process.systems.engineering..Case.studies.are.illustrated.for.biological.process.engineering,. in.particular.MoFlo.systems.focusing.on.process.safety.and.operation.design.support.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"29 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":"122525639","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
Visual Data Mining Based on Partial Similarity Concepts 基于部分相似概念的可视化数据挖掘
Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-188-9.CH007
J. Kulikowski
{"title":"Visual Data Mining Based on Partial Similarity Concepts","authors":"J. Kulikowski","doi":"10.4018/978-1-60566-188-9.CH007","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH007","url":null,"abstract":"Visual.data.mining.is.a.procedure.aimed.at.a.selection.from.a.document’s.repository.subsets.of.documents. presenting.certain.classes.of.objects;.the.last.may.be.characterized.as.classes.of.objects’.similarity.or,. more.generally,.as.classes.of.objects.satisfying.certain.relationships..In.this.chapter.attention.will.be. focused.on.selection.of.visual.documents.representing.objects.belonging.to.similarity.classes.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"77 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":"134023542","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
Semantic Classification and Annotation of Images 图像的语义分类与标注
Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-188-9.CH015
Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao
{"title":"Semantic Classification and Annotation of Images","authors":"Yonghong Tian, Shuqiang Jiang, Tiejun Huang, Wen Gao","doi":"10.4018/978-1-60566-188-9.CH015","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH015","url":null,"abstract":"With.the.rapid.growth.of.image.collections,.content-based.image.retrieval.(CBIR).has.been.an.active. area.of.research.with.notable.recent.progress..However,.automatic.image.retrieval.by.semantics.still. remains.a.challenging.problem.. In. this.chapter,. the.authors.will.describe. two.promising. techniques. towards semantic image retrieval—semantic image classification and automatic image annotation. For each technique, four aspects are presented: task definition, image representation, computational models, and.evaluation..Finally,.they.will.give.a.brief.discussion.of.their.application.in.image.retrieval.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"6 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":"126105881","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
Image/Video Semantic Analysis by Semi-Supervised Learning 基于半监督学习的图像/视频语义分析
Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-188-9.CH008
Jinhui Tang, Xiansheng Hua, Meng Wang
{"title":"Image/Video Semantic Analysis by Semi-Supervised Learning","authors":"Jinhui Tang, Xiansheng Hua, Meng Wang","doi":"10.4018/978-1-60566-188-9.CH008","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH008","url":null,"abstract":"","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"32 3 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":"134601097","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
Content-Based Video Semantic Analysis 基于内容的视频语义分析
Semantic Mining Technologies for Multimedia Databases Pub Date : 1900-01-01 DOI: 10.4018/978-1-60566-188-9.CH009
Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao
{"title":"Content-Based Video Semantic Analysis","authors":"Shuqiang Jiang, Yonghong Tian, Qingming Huang, Tiejun Huang, Wen Gao","doi":"10.4018/978-1-60566-188-9.CH009","DOIUrl":"https://doi.org/10.4018/978-1-60566-188-9.CH009","url":null,"abstract":"With.the.explosive.growth.in.the.amount.of.video.data.and.rapid.advance.in.computing.power,.extensive. research.efforts.have.been.devoted.to.content-based.video.analysis..In.this.chapter,.the.authors.will.give. a.broad.discussion.on.this.research.area.by.covering.different.topics.such.as.video.structure.analysis,. object.detection.and.tracking,.event.detection,.visual.attention.analysis,.and.so.forth..In.the.meantime,. different.video.representation.and.indexing.models.are.also.presented.","PeriodicalId":439960,"journal":{"name":"Semantic Mining Technologies for Multimedia Databases","volume":"9 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":"133224705","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
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