Abstract
Accessing massive multimedia databases will require multiple representations of those databases. Initial access may be through visual representations of the database. However, traversing numerous levels of tree-like structures will quickly find the user lost Simple database queries may overwhelm users with information.
To overcome these problems the Advanced Learning Technologies Project at Carnegie Mellon University's Software Engineering Institute embeds in multimedia objects the knowledge of the content of those objects over several dimensions. With this model, variable granularity knowledge about the domain, content, image structure, and the appropriate use of content and image is embedded with the object. In ALT, a rule base acts as a visual director, making a judgement on what image to display and how to manipulate it. This provides the ability to present disparate text, audio, images, and video, intelligently in response to users needs.
It is difficult to move through information that has an intrinsic and essentially fixed temporal element such as video. While detailed indexing of video can help, users often wish to peruse video much as they flip through the pages of a book. Two techniques developed for this project will facilitate such searches. First, detailed, embedded knowledge of the video information will allow for scans by various views, such as by content area or depth of information. Second, partitioning multimedia data into smaller objects reducing bandwidth problems associated with accessing central data in large video files. Concatenation of logically contiguous files allows for seamless, continuous play of long sequences
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
“A Construction Set for Multimedia Applications,” Matthew E. Hodges, Russell M. Sasnett, and Mark S. Ackerman, IEEE Software, January 1989
“Intermedia: The Concept and the Construction of a Seamless Information Environment,” Nicole Yankelovich, Bernard J. Haan, Norman K. Meyrowitz, and Steven M. Drucker, Brown University, IEE Computer, January 1988
Hadamard, J., The Psychology of Invention in the Mathematical Field. Princeton University Press, 1945
“The Effect of VDU Text-Presentation Rate on Reading Comprehension and Reading Speed,” Jo. W. Tombaugh, Michael D. Arkin, and Richard F. Dillon, Proceedings of ACM CHI '85 Conference of Human Factors in Computing Systems, 1985
“Intelligent Interactive Video Simulation of a Code Inspection,” Scott M. Stevens, Communications of the ACM, July 1989 Volume 32 Number 7
Kraft, R. Mind and media: The psychological reality of cinematic principles. In Images, Information & Interfaces: Directions for the I990's, D. Schultz and C.W. Moody, Eds. Human Factors Society, New York, 1988
“Cinematic Primitives for Multimedia,” Glorianna Davenport, Thomas Aguierre Smith, and Natalio Pincever, IEEE Computer Graphics & Applications, July 1991
“Parsing Movies in Context,” Thomas G. Aguierre Smith and Natalio C. Pincever, USENIX-Summer '91, Nashville, TN
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 1992 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Stevens, S.M. (1992). Next generation network and operating system requirements for continuous time media. In: Herrtwich, R.G. (eds) Network and Operating System Support for Digital Audio and Video. NOSSDAV 1991. Lecture Notes in Computer Science, vol 614. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55639-7_17
Download citation
DOI: https://doi.org/10.1007/3-540-55639-7_17
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-55639-8
Online ISBN: 978-3-540-47266-7
eBook Packages: Springer Book Archive