Video Description Model Based on Prototype-Instance Model.
Rafael Paulin Carlos, Masayo Kaji, Naoaki Horiuchi, Kuniaki Uehara:
Video Description Model Based on Prototype-Instance Model.
DASFAA 1999: 109-116@inproceedings{DBLP:conf/dasfaa/CarlosKHU99,
author = {Rafael Paulin Carlos and
Masayo Kaji and
Naoaki Horiuchi and
Kuniaki Uehara},
editor = {Arbee L. P. Chen and
Frederick H. Lochovsky},
title = {Video Description Model Based on Prototype-Instance Model},
booktitle = {Database Systems for Advanced Applications, Proceedings of the
Sixth International Conference on Database Systems for Advanced
Applications (DASFAA), April 19-21, Hsinchu, Taiwan},
publisher = {IEEE Computer Society},
year = {1999},
isbn = {0-7695-0084-6},
pages = {109-116},
ee = {db/conf/dasfaa/CarlosKHU99.html},
crossref = {DBLP:conf/dasfaa/99},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX
Abstract
Current video database systems are able to manipulate syntactic aspects of temporal media like video and audio. However, few of these systems
are able to manipulate video information according to its semantic content. Furthermore, manually describing video content is tedious and not
practical for the video data due to the temporal, spatial, and massive characteristic of the video, meanwhile content description always depends
on users' interpretation. Our video description model is based on "object-oriented model based on prototypes" which is proposed in the
object-oriented programming field. A prototype is a prefabricated object with a predefined structure, content, and behavior from which new
objects can be constructed from other prototypes. By using prototypes, the user is able to describe video stories easily implementing and
modifying prototypes of typical scenes that usually appear in several stories. Our method uses two hierarchical structures, one based on
prototypes' inheritance structure and another based on prototypes' internal structure. From this point of view, our system includes a hierarchical
prototype menu, which guides the user to reach easily requested prototypes; hence, the story remains the same regardless of different users'
interpretation.
Copyright © 1999 by The Institute of
Electrical and Electronic Engineers, Inc. (IEEE).
Abstract used with permission.
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BibTeX
Citation Page
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Knowledge Acquisition via Incremental Conceptual Clustering.
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BibTeX
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