http://www.bibsonomy.org/burst/tag/IMAGESBibSonomy BuRST Feed for /tag/IMAGES2009-01-07T07:11:50+01:00http://www.bibsonomy.org/bibtex/20b3a6e647154a385082389038a107820/paregoriosparegorios2008-11-07T17:59:33+01:00flickr commons images <span style="color:#555555;">Shelley <a href="http://www.bibsonomy.org/author/Bernstein">Bernstein</a> </span><em>November2008. </em>Fri Nov 07 17:59:33 CET 2008Brooklyn Museum: Community: bloggers@brooklynmuseumNovemberFlickr Commons: It's Complicated2008flickr commons images http://www.bibsonomy.org/bibtex/2dc2df9de8c6858d91eeb3897d7289c8a/zokazoka2008-11-05T16:51:01+01:00credibility web_designer style_sheets animation audio page_design cross-plattform_design design_standards content_design photos web_usability web_developer multimedia navigation frames design_guidelines linking images wismasys0809 video accessibility design_precepts <span style="color:#555555;">Jakob <a href="http://www.bibsonomy.org/author/Nielsen">Nielsen</a> </span>(<em>2001</em>)Wed Nov 05 16:51:01 CET 2008Designing Web Usability2001credibility web_designer style_sheets animation audio page_design cross-plattform_design design_standards content_design photos web_usability web_developer multimedia navigation frames design_guidelines linking images wismasys0809 video accessibility design_precepts Creating Web sites is easy. Creating sites that truly meet the needs and expectations of the wide range of online users is quite another story. In Designing Web Usability: The Practice of Simplicity, renowned Web usability guru Jakob Nielsen shares his insightful thoughts on the subject. Packed with annotated examples of actual Web sites, this book sets out many of the design precepts all Web developers should follow. This guide segments discussions of Web usability into page, content, site, and intranet design. This breakdown skillfully isolates for the reader many subtly different challenges that are often mixed together in other discussions. For example, Nielsen addresses the requirements of viewing pages on varying monitor sizes separately from writing concise text for "scanability." Along the way, the author pulls no punches with his opinions, using phrases like "frames: just say no" to immediately make his feelings known. Fortunately, his advise is some of the best you'll find. One of the unique aspects of this title is the use of actual statistics to buttress the author's opinions on various techniques and technologies. He includes survey results on sizes of screens, types of queries submitted to search portals, response times by connection type and more. This book is intended as the first of two volumes--focusing on the "what." The author promises a follow-up title that will show the "hows" and, based on this installation, we can't wait. --Stephen W. Plain Topics covered: Cross-platform design, response time considerations, writing for the Web, multimedia implementation, navigation strategies, search boxes, , accessibility for disabled users, international considerations, and future predictions. http://www.bibsonomy.org/bibtex/2667ca601a51cb66b4f84bfcec63d14cf/kirylenkakirylenka2008-10-28T23:47:07+01:00images wismasys0809 <span style="color:#555555;">S. <a href="http://www.bibsonomy.org/author/Layne">Layne</a> </span><em>Introduction to Art Image Access, </em><em>Getty Research Institute, </em>(<em>2002</em>)Tue Oct 28 23:47:07 CET 2008Introduction to Art Image Access1-19Subject access to art images2002images wismasys0809 http://www.bibsonomy.org/bibtex/2b2faf49e3042260ad3faf24aa2463e28/saschasascha2008-10-26T16:22:02+01:00music sound pictures images retrieval language audio-document wismasys0809 video <span style="color:#555555;">I. <a href="http://www.bibsonomy.org/author/Schmitt">Schmitt</a> </span><em>M&#252;nchen; Wien: Oldenbourg, </em>(<em>2006</em>)Sun Oct 26 16:22:02 CET 2008Ähnlichkeitssuche in Multimedia-Datenbanken. Retrieval, Suchalgorithmen und AnfragebehandlungÄhnlichkeitssuche in Multimedia-Datenbanken. Retrieval, Suchalgorithmen und Anfragebehandlung2006music sound pictures images retrieval language audio-document wismasys0809 video Das Anliegen von Multimedia-Datenbanksystemen ist die effiziente Datenbankverwaltung von Medienobjekten. Im Gegensatz zur klassischen Datenbanksuche basiert die Suche in Multimedia-Datenbanksystemen häufig auf Ähnlichkeitsvergleichen zwischen Medienobjekten. Für solche inhaltsbasierten Vergleiche werden spezielle Retrieval-Mechanismen eingesetzt. Der Hauptbestandteil des Lehrbuchs besteht in der Beschreibung von Verfahren des Multimedia-Retrievals. Dazu diskutiert und vergleicht das Buch Verfahren der Feature-Aufbereitung sowie der Ähnlichkeitsberechnung anhand von Distanz-und Ähnlichkeitsmaßen. Weiterhin werden effiziente Algorithmen zur Suche nach Medienobjekten vorgestellt. Ein Kapitel über die Anfragebearbeitung in Multimedia-Datenbanksystemen rundet das Buch ab. Das vorliegende Buch ist als ein Lehrbuch mit vielen Beispielen und Graphiken konzipiert. Es wendet sich an Hörer einer entsprechenden Lehrveranstaltung, aber auch an Informatiker, welche sich in die vorhandenen Konzepte und Verfahren der Ähnlichkeitssuche aus der Sicht der Informatik einarbeiten wollen. http://www.bibsonomy.org/bibtex/221db887a880abcd039db2af936bf0fac/kregulskikregulski2008-09-23T14:04:33+02:00Visual_literacy History_of_Landscape poe-2008-2 interview images Stilgoe <span style="color:#555555;">Steven <a href="http://www.bibsonomy.org/author/Heller">Heller</a> </span><em>58(2):36-37</em>(<em>2004</em>) <em>issn 0032-8510 . </em>Tue Sep 23 14:04:33 CEST 2008issn 0032-8510236-37John Stilgoe, professor and visionary582004Visual_literacy History_of_Landscape poe-2008-2 interview images Stilgoe In interview, the professor John Stilgoe, a lecturer at Harvard University in Cambridge, Massachusetts, discusses his views regarding visual literacy in young people. He asserts that the public secondary school educational system in the U.S.A. fails to impart to students a sense of visual awareness strong enough to engage with images they encounter. He considers the history of visual education at Harvard, and asserts that it was lacking and describes teaching students who are unaccustomed to analyzing visual information for long periods of time. He details a forthcoming book of his in which he analyzes the deficiencies of visual education, and prescribes improvements. He discusses the History of Landscape, his professorial title. He scrutinizes a given viewer's biases of perception, and concludes by affirming that the demands of global culture will necessitate change in educational practices.http://www.bibsonomy.org/bibtex/268cd4caadf07ac565f966e7e2e0dc572/paregoriosparegorios2008-08-29T17:52:45+02:00geography thesauri images <span style="color:#555555;">Marshall C. <a href="http://www.bibsonomy.org/author/Ramsey">Ramsey</a> and Hsinchun <a href="http://www.bibsonomy.org/author/Chen">Chen</a> and Bin <a href="http://www.bibsonomy.org/author/Zhu">Zhu</a> and Bruce R. <a href="http://www.bibsonomy.org/author/Schatz">Schatz</a> </span><em>Journal of the American Society for Information Science</em>(<em>2000</em>)Fri Aug 29 17:52:45 CEST 2008Journal of the American Society for Information Science826-834A collection of visual thesauri for browsing large collections of geographic images502000geography thesauri images Digital libraries of geo-spatial multimedia content are currently deficient in providing fuzzy, concept-based retrieval mechanisms to users. The main challenge is that indexing and thesaurus creation are extremely labor-intensive processes for text documents and especially for images. Recently, 800,000 declassified satellite photographs were made available by the United States Geological Survey. Additionally, millions of satellite and aerial photographs are archived in national and local map libraries. Such enormous collections make human indexing and thesaurus generation methods impossible to utilize. In this article we propose a scalable method to automatically generate visual thesauri of large collections of geo-spatial media using fuzzy, unsupervised machine-learning techniques.http://www.bibsonomy.org/bibtex/2ec74ba4cc1757d15c1519c9a8e245f23/yishyish2008-08-21T14:22:34+02:00limit Asymptotes sequence sequences images ɛ–strip learning definitions mathematics postviva <span style="color:#555555;">Kyeong Hah <a href="http://www.bibsonomy.org/author/Roh">Roh</a> </span><em>Educational Studies in Mathematics</em>(<em>in press</em>)Thu Aug 21 14:22:34 CEST 2008Educational Studies in MathematicsStudents’ images and their understanding of definitions of the limit of a sequencein presslimit Asymptotes sequence sequences images ɛ–strip learning definitions mathematics postviva There are many studies on the role of images in understanding the concept of limit. However, relatively few studies have been conducted on how students’ understanding of the rigorous definition of limit is influenced by the images of limit that the students have constructed through their previous learning. This study explored how calculus students’ images of the limit of a sequence influence their understanding of definitions of the limit of a sequence. In a series of task-based interviews, students evaluated the propriety of statements describing the convergence of sequences through a specially designed hands-on activity, called the ɛ–strip activity. This paper illustrates how these students’ understanding of definitions of the limit of a sequence was influenced by their images of limits as asymptotes, cluster points, or true limit points. The implications of this study for teaching and learning the concept of limit, as well as on research in mathematics education, are also discussed.http://www.bibsonomy.org/bibtex/264d0702dbf0f43e0cae2677d859a607e/michaelmichael2008-08-13T11:00:11+02:00DISS tagging images tagging_convergence modelling <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Spaniol">Spaniol</a> and R. <a href="http://www.bibsonomy.org/author/Klamma">Klamma</a> and M. <a href="http://www.bibsonomy.org/author/Lux">Lux</a> </span><em>Proceedings of I-Semantics '07, </em>(<em>2007</em>)Wed Aug 13 11:00:11 CEST 2008Proceedings of I-Semantics '07Imagesemantics: User-Generated Metadata, Content Based Retrieval \& Beyond2007DISS tagging images tagging_convergence modelling http://www.bibsonomy.org/bibtex/2695b9700f725c1ceac87066e69883793/eswc2008eswc20082008-05-28T14:49:52+02:00application applications-2 faceted images semantic web browsing sparql <span style="color:#555555;">Jun <a href="http://www.bibsonomy.org/author/Zhao">Zhao</a> and Graham <a href="http://www.bibsonomy.org/author/Klyne">Klyne</a> and David <a href="http://www.bibsonomy.org/author/Shotton">Shotton</a> </span><em>Proceedings of the 5th European Semantic Web Conference, </em><em>Berlin, Heidelberg, </em><em>Springer Verlag, </em><em>June2008. </em>Wed May 28 14:49:52 CEST 2008Berlin, HeidelbergProceedings of the 5th European Semantic Web ConferenceJuneLNCSBuilding a Semantic Web Image Repository for Biological Research Images2008application applications-2 faceted images semantic web browsing sparql Images play a vital role in scientific studies. An image repository would become a costly and meaningless data graveyard without descriptive metadata. We adapted EPrints, a conventional repository software system, to create a biological research image repository for a local research group, in order to publish images with structured metadata with a minimum of development effort. However, in its native installation, this repository cannot easily be linked with information from third parties, and the user interface has limited flexibility. We address these two limitations by providing Semantic Web access to the contents of this image repository, causing the image metadata to become programmatically accessible through a SPARQL endpoint and enabling the images and their metadata to be presented in more flexible faceted browsers, jSpace and Exhibit. We show the feasibility of publishing image metadata on the Semantic Web using existing tools, and examine the inadequacies of the Semantic Web browsers in providing effective user interfaces. We highlight the importance of a loosely coupled software framework that provides a lightweight solution and enables us to switch between alternative components.Content Based Image Retrieval CBIR Survey Paper - 2008http://www.bibsonomy.org/bibtex/2278a48194bc9afbd298c36dd497a9821/hothohotho2008-04-30T21:25:36+02:00ir survey images retrieval <span style="color:#555555;">Ritendra <a href="http://www.bibsonomy.org/author/Datta">Datta</a> and Dhiraj <a href="http://www.bibsonomy.org/author/Joshi">Joshi</a> and Jia <a href="http://www.bibsonomy.org/author/Li">Li</a> and James Z. <a href="http://www.bibsonomy.org/author/Wang">Wang</a> </span><em>ACM Computing Surveys</em>(<em>2008</em>)Wed Apr 30 21:25:36 CEST 2008ACM Computing Surveys2Image Retrieval: Ideas, Influences, and Trends of the New Age402008ir survey images retrieval We have witnessed great interest and a wealth of promise in content-based image retrieval as an emerging technology. While the last decade laid foundation to such promise, it also paved the way for a large number of new techniques and systems, got many new people involved, and triggered stronger association of weakly related fields. In this paper, we survey almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation, and discuss the spawning of related sub-fields in the process. We also discuss significant challenges involved in the adaptation of existing image retrieval techniques to build systems that can be useful in the real-world. In retrospect of what has been achieved so far, we also conjecture what the future may hold for image retrieval research.http://www.bibsonomy.org/bibtex/2804c2755fd41bd8cd0b4b3fd1dfda9fd/smichasmicha2008-04-23T22:05:04+02:00sub-band of images Efficient coding <span style="color:#555555;">Martin <a href="http://www.bibsonomy.org/author/Vetterli">Vetterli</a> </span><em>Signal Processing</em><em>6(2):97--112</em><em>Apr1984. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingApr297--112Multi-dimensional sub-band coding: Some theory and algorithms61984sub-band of images Efficient coding http://www.bibsonomy.org/bibtex/25566d84e1ed99b3ee860f8c51d83f19c/smichasmicha2008-04-23T22:05:04+02:00Landsat images <span style="color:#555555;">M. <a href="http://www.bibsonomy.org/author/Piacentini">Piacentini</a> </span><em>Signal Processing</em><em>5(4):311--318</em><em>Jul1983. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingJul4311--318Correction for low sun elevation in landsat imagery51983Landsat images http://www.bibsonomy.org/bibtex/28f0b649856304e6294b2582417f0987e/smichasmicha2008-04-23T22:05:04+02:00Range images <span style="color:#555555;">Mark J. L. <a href="http://www.bibsonomy.org/author/Orr">Orr</a> </span><em>Signal Processing</em><em>32(1-2):57--72</em><em>May1993. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingMay1-257--72Combining occluded surface boundaries321993Range images http://www.bibsonomy.org/bibtex/2b84b62d676137a5ae5b18eef64665354/smichasmicha2008-04-23T22:05:04+02:00SAR images segmentation <span style="color:#555555;">Xavier <a href="http://www.bibsonomy.org/author/Descombes">Descombes</a> and Miguel <a href="http://www.bibsonomy.org/author/Moctezuma">Moctezuma</a> and Henri <a href="http://www.bibsonomy.org/author/Ma{\^i}tre">Ma^itre</a> and Jean-Paul <a href="http://www.bibsonomy.org/author/Rudant">Rudant</a> </span><em>Signal Processing</em><em>55(1):123--132</em><em>Nov1996. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingNov1123--132Coastline detection by a Markovian segmentation on SAR images551996SAR images segmentation http://www.bibsonomy.org/bibtex/2626e6d904bed511949fcc6a525e03cc0/smichasmicha2008-04-23T22:05:04+02:00SAR images <span style="color:#555555;">Ph. <a href="http://www.bibsonomy.org/author/Courmontagne">Courmontagne</a> </span><em>Signal Processing</em><em>85(8):1634--1654</em><em>Aug2005. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingAug81634--1654An improvement of ship wake detection based on the radon transform852005SAR images http://www.bibsonomy.org/bibtex/2d0533cfe27ebb245111178f2ec305f2c/smichasmicha2008-04-23T22:05:04+02:00SAS images <span style="color:#555555;">Fabien <a href="http://www.bibsonomy.org/author/Chaillan">Chaillan</a> and Christophe <a href="http://www.bibsonomy.org/author/Fraschini">Fraschini</a> and Philippe <a href="http://www.bibsonomy.org/author/Courmontagne">Courmontagne</a> </span><em>Signal Processing</em><em>87(4):762--781</em><em>Apr2007. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingApr4762--781Speckle noise reduction in SAS imagery872007SAS images http://www.bibsonomy.org/bibtex/223cc261173f0666d8646f73de0118f6c/smichasmicha2008-04-23T22:05:04+02:00Combination of images <span style="color:#555555;">David R. <a href="http://www.bibsonomy.org/author/Brillinger">Brillinger</a> and Kenneth H. <a href="http://www.bibsonomy.org/author/Downing">Downing</a> and Robert M. <a href="http://www.bibsonomy.org/author/Glaeser">Glaeser</a> </span><em>Journal of Statistical Planning and Inference</em><em>25(3):235--259</em><em>Jul1990. </em>Wed Apr 23 22:05:04 CEST 2008Journal of Statistical Planning and InferenceJul3235--259Some statistical aspects of low-dose electron imaging of crystals251990Combination of images http://www.bibsonomy.org/bibtex/25808888d841a7020a50fb6626f155645/smichasmicha2008-04-23T22:05:04+02:00images Color <span style="color:#555555;">B. <a href="http://www.bibsonomy.org/author/Bouda">Bouda</a> and Lh. <a href="http://www.bibsonomy.org/author/Masmoudi">Masmoudi</a> and D. <a href="http://www.bibsonomy.org/author/Aboutajdine">Aboutajdine</a> </span><em>Signal Processing</em><em>88(4):905--915</em><em>Apr2008. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingApr4905--915CVVEFM: Cubical voxels and virtual electric field model for edge detection in color images882008images Color http://www.bibsonomy.org/bibtex/284640f3219138d6cdeaf7bccabdddc05/smichasmicha2008-04-23T22:05:04+02:00Binary images <span style="color:#555555;">W. W. <a href="http://www.bibsonomy.org/author/Boles">Boles</a> and M. <a href="http://www.bibsonomy.org/author/Kanefsky">Kanefsky</a> and M. <a href="http://www.bibsonomy.org/author/Simaan">Simaan</a> </span><em>Signal Processing</em><em>21(1):37--47</em><em>Sep1990. </em>Wed Apr 23 22:05:04 CEST 2008Signal ProcessingSep137--47A reduced edge distortion median filtering algorithm for binary images211990Binary images http://www.bibsonomy.org/bibtex/2be881638f77ac9d0b4e8434f0b3385f6/stummestumme2008-03-28T12:11:30+01:00ir information formal concept images image OntologyHandbook FCA retrieval analysis sleuth fca <span style="color:#555555;">J. <a href="http://www.bibsonomy.org/author/Ducrou">Ducrou</a> and B. <a href="http://www.bibsonomy.org/author/Vormbrock">Vormbrock</a> and P. W. <a href="http://www.bibsonomy.org/author/Eklund">Eklund</a> </span><em>Proc. of the 14 th Int. Conference on Conceptual Structures, </em><em>Springer-Verlag, </em>(<em>2006</em>)Fri Mar 28 12:11:30 CET 2008Proc. of the 14 th Int. Conference on Conceptual Structures{FCA}-based Browsing and Searching of a Collection of Images2006ir information formal concept images image OntologyHandbook FCA retrieval analysis sleuth fca