Augmented transition networks as video browsing models for multimedia databases and multimedia information systems

Shu Ching Chen, Srinivas Sista, Mei Ling Shyu, R. L. Kashyap

Research output: Contribution to journalConference article

Abstract

An abstract semantic model called the augmented transition network (ATN), which can model video data and user interactions, is proposed. An ATN and its subnetworks can model video data based on different granularities such as scenes, shots and key frames. Multimedia input strings are used as inputs for ATNs. The details of how to use multimedia input strings to model video data are also discussed.

Original languageEnglish (US)
Pages (from-to)175-182
Number of pages8
JournalProceedings of the International Conference on Tools with Artificial Intelligence
StatePublished - Dec 1 1999
EventProceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99) - Chicago, IL, USA
Duration: Nov 9 1999Nov 11 1999

    Fingerprint

ASJC Scopus subject areas

  • Software

Cite this