The technical ability to generate volumes of digital multimedia data is becoming increasingly `mainstream" in today"s electronic world. Online services create volumes of primarily textual information, such as news reports, product reviews, and email chronicles. Advances in digital video technology have given organizations the capability to amass visual records and produce collections of surveillance monitoring data streams. With this ability to generate and archive volumes of data comes the potential of deriving or recalling information and knowledge from these data histories. To effectively utilize the growing number of multimedia data repositories, there is a convergence in technologies from large-scale data management, semantic-oriented media (text, image, and video) understanding, and multi-source trend analysis. This convergence is not straightforward and introduces a significant challenge in construction solutions that offer scalable deployment with semantically rich quality. The Microelectronics and Computer Technology Corporation (MCC) and its member companies carried out a study in 1997 to investigate the state of the art in technologies for annotating and manipulating large-scale networks of multimedia information objects with content-based concepts. Content-Based Access to Multimedia Information: From Technology Trends to State of the Art documents the study"s technology assessment and identifies shortcomings where further research and integration of technologies are needed to meet anticipated application requirements. The major points highlighted in this book can be used as cornerstones for defining advanced research and development directions, and opportunities to exploit the content available in networks of large-scale multi-media sources. Based on the results of the study, MCC initiated the Content-Based Access to Multimedia (CBAM) Information project to investigate semantically-oriented access to large-scale image and video repositories. The project focuses on concept extraction, annotation, and collection principles applied in and across large-scale image and video repositories. Content-Based Access to Multimedia Information: From Technology Trends to State of the Art demonstrates proof-of-concept environments where multimedia objects acquire semantic content annotations and become elements exploited in distributed information-gathering applications.
|Statement||by Brad Perry, John Dinsmore, Shi-Kuo Chang, David Doermann, Azriel Rosenfeld, Scott Stevens|
|Series||The Springer International Series in Engineering and Computer Science -- 503, International series in engineering and computer science -- 503.|
|Contributions||Dinsmore, John H., Chang, Shi-Kuo, Doermann, David, Rosenfeld, Azriel, Stevens, Scott|
|The Physical Object|
|Format||[electronic resource] :|
|Pagination||1 online resource (xii, 143 pages).|
|Number of Pages||143|
|ISBN 10||1461372887, 1461550351|
|ISBN 10||9781461372882, 9781461550358|
Content-based access to multimedia data is of primary importance since it is the natural way by which human beings interact with such information. To facilitate the content-based access of multimedia information, the first step is to derive feature measures from these data so that a feature space representation of the data content can be formed. Get this from a library! Content-based access to multimedia information: from technology trends to state of the art. [Bradley John Perry;] -- "The Microelectronics and Computer Technology Corporation (MCC) and its member companies carried out a study in to investigate the state of the art in technologies to annotate and manipulate. Content-based access to multimedia data is of primary importance since it is the natural way by which human beings interact with such information. To facilitate the content-based access of multimedia information, the first step is to derive feature measures from these data so that a feature space representation of the data content can be : Hardcover. Readings in Multimedia Computing and Networking captures the broad areas of research and developments in this burgeoning field, distills the key findings, and makes them accessible to professionals, researchers, and students alike. For the first time, the most influential and innovative papers on these topics are presented in a cohesive form.
Content-Based Access to Multimedia Information: From Technology Trends to State of the Art demonstrates proof-of-concept environments where multimedia objects acquire semantic content annotations and become elements exploited in distributed information-gathering applications.\/span>\"@ en\/a> ; \u00A0\u00A0\u00A0\n schema:description\/a> \" 1. Recent advances in computing and communication make on-line access to multimedia information —like books, periodicals, images, video clips, and scientific data—both possible and cost-effective. The architecture for these services consists of multimedia storage servers connected to client sites via high-speed networks (see Figure 1). The theme of the conference is "Content-Based Multimedia Information Access". The conference scope ranges from the traditional processing of text documents to the rapidly growing field of automatic indexing and retrieval of images and speech and, more generally, to all processing of audio-visual and multimedia information on various distribution venues, including the Net. Content-Based Multimedia Retrieval: /ch In the past decade, there has been rapid growth in the use of digital media, such as images, video, Cited by: 4.
content-based indexing and retrieval of multimedia information Introduction [XIAO MING ZHU] on *FREE* shipping on qualifying offers. content-based indexing and retrieval of multimedia information IntroductionAuthor: XIAO MING ZHU. Retrieval of Multimedia Information Using Content-Based Image Retrieval (CBIR) Techniques: /ch This chapter will focus on the concept of Content-based image retrieval. Searching of an image or video database based on text based description is a manualCited by: 1. This novel content-based concept of information handling needs to be integrated with more traditional semantics. Multimedia Information Retrieval focuses on the tools of processing and searching applicable to the content-based management of new multimedia documents. Translated from Italian by Giles Smith, the book is divided into two parts. Content-based multimedia information retrieval is an interesting research area since it allows retrieval based on inherent characteristic of multimedia : Mohammad Nabil Almunawar.