Title

Videograph: A Graphical Object-Based Model For Representing And Querying Video Data

Abstract

Modeling video data poses a great challenge since they do not have as clear an underlying structure as traditional databases do. We propose a graphical object-based model, called VideoGraph, in this paper. This scheme has the following advantages: (1) In addition to seman- tics of video individual events, we capture their temporal relationships as well. (2) The inter-event relationships allow us to deduce implicit video information. (3) Uncertainty can also be handled by associating the video event with a temporal Boolean-like expression. This also allows us to exploit incomplete information. The above features make VideoGraph very flexible in representing various metadata types extracted from diverse information sources. To facilitate video retrieval, we also introduce a formalism for the query language based on path expressions. Query processing involves only simple traversal of the video graphs.

Publication Date

1-1-2000

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

1920

Number of Pages

383-396

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/3-540-45393-8_28

Socpus ID

33646688267 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33646688267

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