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: Chapter in Book/Report/Conference proceedingConference contribution

26 Citations (Scopus)

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)
Title of host publicationProceedings of the International Conference on Tools with Artificial Intelligence
PublisherIEEE
Pages175-182
Number of pages8
StatePublished - 1999
Externally publishedYes
EventProceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99) - Chicago, IL, USA
Duration: Nov 9 1999Nov 11 1999

Other

OtherProceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99)
CityChicago, IL, USA
Period11/9/9911/11/99

Fingerprint

Information systems
Semantics

ASJC Scopus subject areas

  • Software

Cite this

Chen, S. C., Sista, S., Shyu, M-L., & Kashyap, R. L. (1999). Augmented transition networks as video browsing models for multimedia databases and multimedia information systems. In Proceedings of the International Conference on Tools with Artificial Intelligence (pp. 175-182). IEEE.

Augmented transition networks as video browsing models for multimedia databases and multimedia information systems. / Chen, Shu Ching; Sista, Srinivas; Shyu, Mei-Ling; Kashyap, R. L.

Proceedings of the International Conference on Tools with Artificial Intelligence. IEEE, 1999. p. 175-182.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chen, SC, Sista, S, Shyu, M-L & Kashyap, RL 1999, Augmented transition networks as video browsing models for multimedia databases and multimedia information systems. in Proceedings of the International Conference on Tools with Artificial Intelligence. IEEE, pp. 175-182, Proceedings of the 11th IEEE International Conference on Tools with Artificial Intelligence (ICTAI '99), Chicago, IL, USA, 11/9/99.
Chen SC, Sista S, Shyu M-L, Kashyap RL. Augmented transition networks as video browsing models for multimedia databases and multimedia information systems. In Proceedings of the International Conference on Tools with Artificial Intelligence. IEEE. 1999. p. 175-182
Chen, Shu Ching ; Sista, Srinivas ; Shyu, Mei-Ling ; Kashyap, R. L. / Augmented transition networks as video browsing models for multimedia databases and multimedia information systems. Proceedings of the International Conference on Tools with Artificial Intelligence. IEEE, 1999. pp. 175-182
@inproceedings{70c9a129983c4ce7b7b33aa806bbe958,
title = "Augmented transition networks as video browsing models for multimedia databases and multimedia information systems",
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.",
author = "Chen, {Shu Ching} and Srinivas Sista and Mei-Ling Shyu and Kashyap, {R. L.}",
year = "1999",
language = "English (US)",
pages = "175--182",
booktitle = "Proceedings of the International Conference on Tools with Artificial Intelligence",
publisher = "IEEE",

}

TY - GEN

T1 - Augmented transition networks as video browsing models for multimedia databases and multimedia information systems

AU - Chen, Shu Ching

AU - Sista, Srinivas

AU - Shyu, Mei-Ling

AU - Kashyap, R. L.

PY - 1999

Y1 - 1999

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=0033310651&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033310651&partnerID=8YFLogxK

M3 - Conference contribution

SP - 175

EP - 182

BT - Proceedings of the International Conference on Tools with Artificial Intelligence

PB - IEEE

ER -