Search (22 results, page 1 of 2)

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Abstract

As the LoC moves to make massive amounts of multimedia items available over networks, it must consider the challenge these new digital collections present for navigation. Discusses the search needs of the LC's digital collections audience and how relevant searching aids might be provided for them. Factors to be considered include: the variety of search needs of users; the different technology levels of users; and the need for the provision of both free text and structured searching. Considers the design of graphical user interfaces and the role of language in the successful navigation of a large database

Date

22. 2.1996 11:37:48

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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.

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Abstract

Multimedia is proliferating on Web sites, as the Web continues to enhance the integration of multimedia and textual information. In this paper we examine trends in multimedia Web searching by Excite users from 1997 to 2001. Results from an analysis of 1,025,910 Excite queries from 2001 are compared to similar Excite datasets from 1997 to 1999. Findings include: (1) queries per multimedia session have decreased since 1997 as a proportion of general queries due to the introduction of multimedia buttons near the query box, (2) multimedia queries identified are longer than non-multimedia queries, and (3) audio queries are more prevalent than image or video queries in identified multimedia queries. Overall, we see multimedia Web searching undergoing major changes as Web content and searching evolves.

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Abstract

Searching for multimedia is an important activity for users of Web search engines. Studying user's interactions with Web search engine multimedia buttons, including image, audio, and video, is important for the development of multimedia Web search systems. This article provides results from a Weblog analysis study of multimedia Web searching by Dogpile users in 2006. The study analyzes the (a) duration, size, and structure of Web search queries and sessions; (b) user demographics; (c) most popular multimedia Web searching terms; and (d) use of advanced Web search techniques including Boolean and natural language. The current study findings are compared with results from previous multimedia Web searching studies. The key findings are: (a) Since 1997, image search consistently is the dominant media type searched followed by audio and video; (b) multimedia search duration is still short (>50% of searching episodes are <1 min), using few search terms; (c) many multimedia searches are for information about people, especially in audio search; and (d) multimedia search has begun to shift from entertainment to other categories such as medical, sports, and technology (based on the most repeated terms). Implications for design of Web multimedia search engines are discussed.

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Abstract

Considers whether an information system can be designed that is capable of meeting the needs of researchers students' for training and those of the general public for information. Tests a system for specialists to determine whether non specialist could use it and whether other uses could be found for such databanks. This multimedia information system based on natural language text searching uses hypertext, associating texts, images, maps and plans of the Greek site of Delphi. Discusses natural language searching, the respective and complementary contributions of automatic and manual indexing, image and document retrieval from other databanks and the different modalities of interactive searching. Defines the features of this type of information system and assesses the limits and the potential of such a product

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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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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

Film, videotape and multimedia archive systems must address the issues of editing, authoring and searching at the media (i.e. tape) or sub media (i.e. scene) level in addition to the traditional inventory management capabilities associated with the physical media. This paper describes a prototype of a database design for the storage, search and retrieval of multimedia and its related information. It also provides a process by which legacy data can be imported to this schema. The Continuous Media Index, or Comix system is the name of the prototype. An implementation of such a digital library solution incorporates multimedia objects, hierarchical relationships and timecode in addition to traditional attribute data. Present video and multimedia archive systems are easily migrated to this architecture. Comix was implemented for a videotape archiving system. It was written for, and implemented using IBM Digital Library version 1.0. A derivative of Comix is currently in development for customer specific applications. Principles of the Comix design as well as the importation methods are not specific to the underlying systems used.

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Abstract

Awareness of another's activity is an important aspect of facilitating collaboration between users, enabling an "understanding of the activities of others" (Dourish & Bellotti, 1992). In this paper we investigate the role of awareness and its effect on search performance and behaviour in collaborative multimedia retrieval. We focus on the scenario where two users are searching at the same time on the same task, and via an interface, can see the activity of the other user. The main research question asks: does awareness of another searcher aid a user when carrying out a multimedia search session? To encourage awareness, an experimental study was designed where two users were asked to compete to find as many relevant video shots as possible under different awareness conditions. These were individual search (no awareness), Mutual awareness (where both users could see the other's search screen), and unbalanced awareness (where one user is able to see the other's screen, but not vice-versa). Twelve pairs of users were recruited, and the four worst performing TRECVID 2006 search topics were used as search tasks, under four different awareness conditions. We present the results of this study, followed by a discussion of the implications for multimedia information retrieval systems.

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Date

31.12.1998 22:05:21

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Abstract

Relevance has been a difficult concept to define, let alone measure. In this paper, a simple operational definition of relevance is proposed for a Web-based library catalog: whether or not during a search session the user saves, prints, mails, or downloads a citation. If one of those actions is performed, the session is considered relevant to the user. An analysis is presented illustrating the advantages and disadvantages of this definition. With this definition and good transaction logging, it is possible to ascertain the relevance of a session. This was done for 905,970 sessions conducted with the University of California's Melvyl online catalog. Next, a methodology was developed to try to predict the relevance of a session. A number of variables were defined that characterize a session, none of which used any demographic information about the user. The values of the variables were computed for the sessions. Principal components analysis was used to extract a new set of variables out of the original set. A stratified random sampling technique was used to form ten strata such that each new strata of 90,570 sessions contained the same proportion of relevant to nonrelevant sessions. Logistic regression was used to ascertain the regression coefficients for nine of the ten strata. Then, the coefficients were used to predict the relevance of the sessions in the missing strata. Overall, 17.85% of the sessions were determined to be relevant. The predicted number of relevant sessions for all ten strata was 11 %, a 6.85% difference. The authors believe that the methodology can be further refined and the prediction improved. This methodology could also have significant application in improving user searching and also in predicting electronic commerce buying decisions without the use of personal demographic data

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Footnote

Part of a special issue featuring papers from the workshop on hypermedia and hypertext standards held in Amsterdam, Netherlands, 22-23 April 1993

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Source

Bulletin des Bibliothèques de France. 40(1995) no.2, S.18-22

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Source

Frankfurter Rundschau. Nr. 20 vom 24.1.1997, S.22

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Source

Audiovisual librarian. 22(1996) no.3, S.194-197

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Source

Cataloguing Australia. 22(1996) nos.1/2, S.17-20

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Date

1. 8.1996 22:08:06

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Date

14. 2.2001 19:09:22

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Date

22. 1.2012 13:02:10

Source

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

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Date

22. 9.1997 19:16:05