Search (69 results, page 1 of 4)

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Classification

006.7 22

Date

7. 3.2007 19:30:22

DDC

006.7 22

Footnote

Rez. in: JASIST 58(2007) no.3, S.457-458 (A.M.A. Ahmad): "The concept of the semantic web has emerged because search engines and text-based searching are no longer adequate, as these approaches involve an extensive information retrieval process. The deployed searching and retrieving descriptors arc naturally subjective and their deployment is often restricted to the specific application domain for which the descriptors were configured. The new era of information technology imposes different kinds of requirements and challenges. Automatic extracted audiovisual features are required, as these features are more objective, domain-independent, and more native to audiovisual content. This book is a useful guide for researchers, experts, students, and practitioners; it is a very valuable reference and can lead them through their exploration and research in multimedia content and the semantic web. The book is well organized, and introduces the concept of the semantic web and multimedia content analysis to the reader through a logical sequence from standards and hypotheses through system examples, presenting relevant tools and methods. But in some chapters readers will need a good technical background to understand some of the details. Readers may attain sufficient knowledge here to start projects or research related to the book's theme; recent results and articles related to the active research area of integrating multimedia with semantic web technologies are included. This book includes full descriptions of approaches to specific problem domains such as content search, indexing, and retrieval. This book will be very useful to researchers in the multimedia content analysis field who wish to explore the benefits of emerging semantic web technologies in applying multimedia content approaches. The first part of the book covers the definition of the two basic terms multimedia content and semantic web. The Moving Picture Experts Group standards MPEG7 and MPEG21 are quoted extensively. In addition, the means of multimedia content description are elaborated upon and schematically drawn. This extensive description is introduced by authors who are actively involved in those standards and have been participating in the work of the International Organization for Standardization (ISO)/MPEG for many years. On the other hand, this results in bias against the ad hoc or nonstandard tools for multimedia description in favor of the standard approaches. This is a general book for multimedia content; more emphasis on the general multimedia description and extraction could be provided.
Semantic web technologies are explained, and ontology representation is emphasized. There is an excellent summary of the fundamental theory behind applying a knowledge-engineering approach to vision problems. This summary represents the concept of the semantic web and multimedia content analysis. A definition of the fuzzy knowledge representation that can be used for realization in multimedia content applications has been provided, with a comprehensive analysis. The second part of the book introduces the multimedia content analysis approaches and applications. In addition, some examples of methods applicable to multimedia content analysis are presented. Multimedia content analysis is a very diverse field and concerns many other research fields at the same time; this creates strong diversity issues, as everything from low-level features (e.g., colors, DCT coefficients, motion vectors, etc.) up to the very high and semantic level (e.g., Object, Events, Tracks, etc.) are involved. The second part includes topics on structure identification (e.g., shot detection for video sequences), and object-based video indexing. These conventional analysis methods are supplemented by results on semantic multimedia analysis, including three detailed chapters on the development and use of knowledge models for automatic multimedia analysis. Starting from object-based indexing and continuing with machine learning, these three chapters are very logically organized. Because of the diversity of this research field, including several chapters of recent research results is not sufficient to cover the state of the art of multimedia. The editors of the book should write an introductory chapter about multimedia content analysis approaches, basic problems, and technical issues and challenges, and try to survey the state of the art of the field and thus introduce the field to the reader.
The final part of the book discusses research in multimedia content management systems and the semantic web, and presents examples and applications for semantic multimedia analysis in search and retrieval systems. These chapters describe example systems in which current projects have been implemented, and include extensive results and real demonstrations. For example, real case scenarios such as ECommerce medical applications and Web services have been introduced. Topics in natural language, speech and image processing techniques and their application for multimedia indexing, and content-based retrieval have been elaborated upon with extensive examples and deployment methods. The editors of the book themselves provide the readers with a chapter about their latest research results on knowledge-based multimedia content indexing and retrieval. Some interesting applications for multimedia content and the semantic web are introduced. Applications that have taken advantage of the metadata provided by MPEG7 in order to realize advance-access services for multimedia content have been provided. The applications discussed in the third part of the book provide useful guidance to researchers and practitioners properly planning to implement semantic multimedia analysis techniques in new research and development projects in both academia and industry. A fourth part should be added to this book: performance measurements for integrated approaches of multimedia analysis and the semantic web. Performance of the semantic approach is a very sophisticated issue and requires extensive elaboration and effort. Measuring the semantic search is an ongoing research area; several chapters concerning performance measurement and analysis would be required to adequately cover this area and introduce it to readers."

LCSH

Semantic Web
Information storage and retrieval systems

RSWK

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval

Subject

Semantic Web / Multimedia / Automatische Indexierung / Information Retrieval
Semantic Web
Information storage and retrieval systems

Theme

Semantic Web

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Abstract

The book covers multimedia ontology in heritage preservation with intellectual explorations of various themes of Indian cultural heritage. The result of more than 15 years of collective research, Multimedia Ontology: Representation and Applications provides a theoretical foundation for understanding the nature of media data and the principles involved in its interpretation. The book presents a unified approach to recent advances in multimedia and explains how a multimedia ontology can fill the semantic gap between concepts and the media world. It relays real-life examples of implementations in different domains to illustrate how this gap can be filled. The book contains information that helps with building semantic, content-based search and retrieval engines and also with developing vertical application-specific search applications. It guides you in designing multimedia tools that aid in logical and conceptual organization of large amounts of multimedia data. As a practical demonstration, it showcases multimedia applications in cultural heritage preservation efforts and the creation of virtual museums. The book describes the limitations of existing ontology techniques in semantic multimedia data processing, as well as some open problems in the representations and applications of multimedia ontology. As an antidote, it introduces new ontology representation and reasoning schemes that overcome these limitations. The long, compiled efforts reflected in Multimedia Ontology: Representation and Applications are a signpost for new achievements and developments in efficiency and accessibility in the field.

LCSH

Semantic Web
Information storage and retrieval systems

Subject

Semantic Web
Information storage and retrieval systems

Theme

Semantic Web

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Abstract

This paper centres on the tools for the management of new digital documents, which are not only textual, but also visual-video, audio or multimedia in the full sense. Among the aims is to demonstrate that operating within the terms of generic Information Retrieval through textual language only is limiting, and it is instead necessary to consider ampler criteria, such as those of MultiMedia Information Retrieval, according to which, every type of digital document can be analyzed and searched by the proper elements of language for its proper nature. MMIR is presented as the organic complex of the systems of Text Retrieval, Visual Retrieval, Video Retrieval, and Audio Retrieval, each of which has an approach to information management that handles the concrete textual, visual, audio, or video content of the documents directly, here defined as content-based. In conclusion, the limits of this content-based objective access to documents is underlined. The discrepancy known as the semantic gap is that which occurs between semantic-interpretive access and content-based access. Finally, the integration of these conceptions is explained, gathering and composing the merits and the advantages of each of the approaches and of the systems to access to information.

Date

22. 1.2012 13:02:10

Footnote

Bezugnahme auf: Enser, P.G.B.: Visual image retrieval. In: Annual review of information science and technology. 42(2008), S.3-42.

Source

Knowledge organization. 39(2012) no.1, S.13-22

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Abstract

Allowing the description of the structure of documents has been one of the key factors for the success of the hypertext markup language (HTML) family of markup languages. This capability has motivated the phenomenon that has become known as the World Wide Web (the "Web"). The next generation of the Web, known as the Semantic Web (Berners-Lee, Hendler. & Lassila, 2001), aims at describing the meaning rather than the structure of data, adding more intelligent search, retrieval, and other agent functionalities to the Web, and tools that make the implementation of this Semantic Web possible are greatly needed. The increasing availability of multimedia on the World Wide Web makes metadata description efforts for multimedia a pressing need, yet with the volume of content being created, often only a rudimentary description of the multimedia content is available. In addition, the digital mode entails a host of other descriptive needs, such as the format, factors such as compression and transmission, and issues such as copyright restrictions and terns for usage. Thus, new and efficient ways of describing multimedia content and meaning are needed as well as a structure that is capable of carrying such descriptions. Several attempts have been made to grapple with this issue using descriptive metadata, one of the earliest of which was the revision of the Dublin Core to ascertain essential features necessary to resource discovery of visual items in a networked environment (Weibel & Miller, 1997). Other metadata schemes, such as the Visual Resources Association Core Categories (http://www.vraweb.org/vracore3.htm), also include format information necessary to the use and display of digital images.

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Abstract

The MPEG-7 standard supports the description of both the structure and the semantics of multimedia; however, the generation and consumption of MPEG-7 structural and semantic descriptions are outside the scope of the standard. This article presents two research prototype systems that demonstrate the generation and consumption of MPEG-7 structural and semantic descriptions in retrieval applications. The active system for MPEG-4 video object simulation (AMOS) is a video object segmentation and retrieval system that segments, tracks, and models objects in videos (e.g., person, car) as a set of regions with corresponding visual features and spatiotemporal relations. The region-based model provides an effective base for similarity retrieval of video objects. The second system, the Intelligent Multimedia Knowledge Application (IMKA), uses the novel MediaNet framework for representing semantic and perceptual information about the world using multimedia. MediaNet knowledge bases can be constructed automatically from annotated collections of multimedia data and used to enhance the retrieval of multimedia.

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Abstract

Presents a multimedia model which describes the various multimedia components, their structure and their relationships with a pre-defined taxonomy of concepts, in order to support search engine information retrieval process

Date

1. 8.1996 22:08:06

Footnote

Contribution to a special issue devoted to the Proceedings of the 7th International World Wide Web Conference, held 14-18 April 1998, Brisbane, Australia

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Abstract

Various kinds of knowledge organisation, such as thesauri, are routinely used to label or tag multimedia content such as images and music and to support information retrieval, i.e. user search for such content. In this paper, we outline why this is the case, in particular focusing on the semantic gap between content and concept based multimedia retrieval. We survey some indexing vocabularies used for multimedia retrieval, and argue that techniques such as thesauri will be needed for the foreseeable future in order to support users in their need for multimedia content. In particular, we argue that artificial intelligence techniques are not mature enough to solve the problem of indexing multimedia conceptually and will not be able to replace human indexers for the foreseeable future.

Content

Beitrag in einem Special issue: The Great Debate: "This House Believes that the Traditional Thesaurus has no Place in Modern Information Retrieval." [19 February 2015, 14:00-17:30 preceded by ISKO UK AGM and followed by networking, wine and nibbles; vgl.: http://www.iskouk.org/content/great-debate].

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Abstract

Develops an integrated conceptual representation scheme for multimedia documents that are viewed to comprise an object-oriented database. Develops the necessary abstractions for the conceptual model and extensions to the RM/T relational model used as the search structure. Develops a retrieval model in which the database search space is 1st narrowed down, based on user query, by an associative search. The associative search is followed by semantic and media-specific searches. A query langugae called SQLX is introduced to fomulate these searches directly from the conceptual model. In SQLX, connector attributes replace join, and abstract data type enables use of objects and their methods in query formulation. Describes a temporal model for time-dependent presentations and with the directions for future work

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Abstract

Die Menge an Daten im Internet steigt weiter rapide an. Damit wächst auch der Bedarf an qualitativ hochwertigen Information Retrieval Diensten zur Orientierung und problemorientierten Suche. Die Entscheidung für die Benutzung oder Beschaffung von Information Retrieval Software erfordert aussagekräftige Evaluierungsergebnisse. Dieser Beitrag stellt neuere Entwicklungen bei der Evaluierung von Information Retrieval Systemen vor und zeigt den Trend zu Spezialisierung und Diversifizierung von Evaluierungsstudien, die den Realitätsgrad derErgebnisse erhöhen. DerSchwerpunkt liegt auf dem Retrieval von Fachtexten, Internet-Seiten und Multimedia-Objekten.

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Abstract

In diesem Kapitel werden Vorschläge für neue Suchparadigmen nach multimedialen Inhalten in Archiven von Kultureinrichtungen vorgestellt. Um die Notwendigkeit für eine Integration dieser neuen Technologien zu zeigen, werden zunächst Einschränkungen der klassischen katalogbasierten Bibliothekssuche im Zeitalter von immer weiter wachsenden Multimediasammlungen beschrieben. Im Anschluss werden die Vor- und Nachteile zweier Suchparadigmen dargestellt, mit deren Hilfe in Zukunft für Wissenschaftler und Kulturschaffende die Suche nach multimedialen Inhalten erleichtert werden könnte. Zunächst werden die Perspektiven einer semantischen Suche auf Basis von Semantic-Web-Technologien in Bibliotheken beschrieben. Im Anschluss werden Suchmöglichkeiten für Multimediainhalte auf Basis von automatischer inhaltsbasierter Medienanalyse gezeigt. Das Kapitel endet mit einem Ausblick auf eine mögliche Vereinigung der beiden neuen Ansätze mit katalogbasierter Bibliothekssuche.

Source

Handbuch Internet-Suchmaschinen, 2: Neue Entwicklungen in der Web-Suche. Hrsg.: D. Lewandowski

Theme

Semantic Web

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Abstract

Starts from the premise that meaning is not an intrinsic property of information items. Approaches to 'meaning' in diverse humanities disciplines, including philosophy, psychology, and the history of arts and music, are drawn on to enhance the understanding of meaning in the context of multimedia information retrieval on the Internet. The approaches described include philosophy of language and meaning, psychology of language including repertory grids and semantic differential, iconography and levels of meaning, and representation of music. A consistent theme in all these disciplines is the recognition that meaning is context dependent and may be analyzed at a variety of different levels, with nomenclature and number of levels varying across disciplines. Identifies the strengths and weaknesses of searching and retrieval on the Internet with particular emphasis on subject content and meaning. It shows the limitations of searching using the most basic level of meaning, while attempting to cater for a wide diversity of information resources and users. Recommends enhanced retrieval interfaces linked to the needs of specific user groups and the characteristics of specific media on the Internet

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Abstract

Recent technological developments have increased the use of machine learning to solve many problems, including many in information retrieval. Multimedia information retrieval as a problem represents a significant challenge to machine learning as a technological solution, but some problems can still be addressed by using appropriate AI techniques. We review the technological developments and provide a perspective on the use of machine learning in conjunction with knowledge organization to address multimedia IR needs. The semantic gap in multimedia IR remains a significant problem in the field, and solutions to them are many years off. However, new technological developments allow the use of knowledge organization and machine learning in multimedia search systems and services. Specifically, we argue that, the improvement of detection of some classes of lowlevel features in images music and video can be used in conjunction with knowledge organization to tag or label multimedia content for better retrieval performance. We provide an overview of the use of knowledge organization schemes in machine learning and make recommendations to information professionals on the use of this technology with knowledge organization techniques to solve multimedia IR problems. We introduce a five-step process model that extracts features from multimedia objects (Step 1) from both knowledge organization (Step 1a) and machine learning (Step 1b), merging them together (Step 2) to create an index of those multimedia objects (Step 3). We also overview further steps in creating an application to utilize the multimedia objects (Step 4) and maintaining and updating the database of features on those objects (Step 5).

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Abstract

Reports results of the MARS project, conducted at Illinois University, to bring together researchers in the fields of computer vision, compression, information management and database systems with the goal of developing an effective multimedia database management system. Describes the first step, involving the design and implementation of an image retrieval system incorporating novel approaches to image segmentation, representation, browsing and information retrieval supported by the developed system. Points to future directions for the MARS project

Date

22. 9.1997 19:16:05

Source

Digital image access and retrieval: Proceedings of the 1996 Clinic on Library Applications of Data Processing, 24-26 Mar 1996. Ed.: P.B. Heidorn u. B. Sandore

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Abstract

Web search engines are beginning to offer access to multimedia searching, including audio, video and image searching. In this paper we report findings from a study examining the state of multimedia search functionality on major general and specialized Web search engines. We investigated 102 Web search engines to examine: (1) how many Web search engines offer multimedia searching, (2) the type of multimedia search functionality and methods offered, such as "query by example", and (3) the supports for personalization or customization which are accessible as advanced search. Findings include: (1) few major Web search engines offer multimedia searching and (2) multimedia Web search functionality is generally limited. Our findings show that despite the increasing level of interest in multimedia Web search, those few Web search engines offering multimedia Web search, provide limited multimedia search functionality. Keywords are still the only means of multimedia retrieval, while other methods such as "query by example" are offered by less than 1% of Web search engines examined.

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Content

Enthält u.a. die Beiträge: CHIARAMELLA, Y.: Browsing and querying: two complementary approaches for multimedia information retrieval; ELZER, P. u. U. KROHN: Visualisierung zur Unterstützung der Suche in komplexen Datenbeständen; OROSCO, R.: AutoFocus: User assistance in information visualization; LALMAS, M. u. I. RUTHVEN: A model for structured document retrieval: empirical investigations; HERZNER, W., M. KUMMER u. M. THUSWALD: DVS: a system for recording, archiving and retrieval of digital video in security environments; LOPEZ, J. u.a.: A user interface for the design of human figures multimedia animations; BOLES, D. u. G. WÜTHERICH: Transformationelle Multimedia-Softwareentwicklung; HAMMWÖHNER, R.: Komplexe Hypertextmodelle im World Wide Web durch dynamische Dokumente; BAUMGARTEN, C.: Probabilistische Modellierung der effizienten Informationssuche in verteilten multimedialen Dokumentbeständen durch Einschränkung des Suchraums; GÖVERT, N.: Evaluierung eines entscheidungstheoretischen Modells zur Datenbankselektion; RÖLLEKE, T. u. M. BLÖMER: Probabilisitc logical information retrieval for content, hypertext, and database querying; VICHOT, F. u.a.: High precision hypertext navigation based on NLP automatic extractions; PETROU, C., D, MARTAKOS u. S. HADJIEFTHYMIADES: Adding semantics to hypermedia towards link's enhancement and dynamic linking; ASHMAN, H., A. GARRIDO u. H. Oinas-Kukkonen: Hand-made and computed links, precomputed and dynamic links; MOGHRABI, I.A.R. u. M.A. SAFAR: Study of algorithms for clustering records in document database; PFEIFER, U. u. S. PENNEKAMP:Incremental processing of vague queries in interactive retrieval systems; DRESLER, S., A.G. GROSSE u. A. RÖSNER: Realisierung und Optimierung der Informationsbeschaffung von Internet-Suchmaschinen am Beispiel vom www.crawler.de; WOLFF, C. u. C. WOMSER-HACKER: Graphisches Faktenretrieval mit vager Anfrageinterpretation; DALAMAGAS, T. u. M.D. DUNLOP: Automatic construction of news hypertext; KAHABKA, T., M.KORKEA-AHO u. G. SPECHT: GRAS: an adaptive personalization scheme for hypermedia databases; BENZ, H. u.a.: DIANE: hypermedia documents in a distributed annotation environment; BEKAVEC, B. u. M. RITTBERGER: Kontextsensitive Visualisierung von Suchergebnissen; RIEKERT, W.-F. u.a.: Fach-, raum- und zeitbezogene Katalogisierung und Recherche von Umweltinformationen auf dem Internet; DUPONT-CHRIST, S. u.a.: PRISMA: eine Basis für multimediale Informationssysteme im Internet

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Abstract

Metadata describing multimedia can address a wide variety of purposes, from the purely physical characteristics of an item, to the circumstances surrounding its production, to attributes that cannot necessarily be determined by examining the item itself directly. These latter attributes, often dealing with "meaning" or interpretation of an item's content, are frequently deemed too difficult to determine and subject to individual and cultural variability. At the same time, however, research has shown that these abstract, interpretive attributes, which carry meaning, are frequently the ones for which people search. To describe an item fully, therefore, means to describe it at both the "syntactic" and the "semantic" levels. This article discusses the development of the semantic description schemes within the MPEG-7 standard from both a historical and an intellectual perspective, as well as the difficulties inherent in creating a descriptive schema that can fully capture the complexity of "narrative worlds."

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Abstract

Presents a graph based object model that may be used as a uniform framework for direct manipulation of multimedia information. Outlines design and implementation issues for the MORE (Multimedia Object Retrieval Environment) prototype system. Discusses user interface functionalities. Presents interaction sessions including schema creation, information loading, and information retrieval

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Abstract

Discusses an architecture for knowledge-based hypermedia systems based on work from semantic databases. Its power derives from its use of a single, uniform data structure which can be used to store both the intensional and extensional information needed to generate hypermedia systems. The architecture is also sufficiently powerful to accomodate the representation of reasonable amount of knowledge within a hypermedia system. Work has been conducted in building a number of prototypes on a small information base of digital image data. The prototypes serve as demonstrators of systems for managing the large amount of information held by museums of their artifacts. The aim of this work is to demonstrate the flexibility of the architecture in sereving the needs of a number of distinct user groups. The first prototype has demonstrated that the virtual architecture is capable of supporting some of the main hypermedia access methods. The current demonstrator is being used to investigate the potential of the approach for handling multiple classifications of hypermedia material. The research is particularly directed at the incorporation of evolving temporal and spatial knowledge

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