A Framework for Video Modeling

M. Petkovic; Willem Jonker

A Framework for Video Modeling

Databases (Former)

Research output: Contribution to conference › Paper › Academic › peer-review

Abstract

In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for video modelling with emphasis on semantic content of video data. The video data model presented distinguishes four layers: the raw data layer, the feature layer, the object layer and the event layer. It supports automatic definition of high-level concepts, such as video objects and events, based on extracted features. We focus our attention on event descriptions in this paper and give two modelling examples in the medical and soccer domain to show that the proposed event grammar can be efficiently used in different domains.

Original language	English
Number of pages	6
Publication status	Published - May 2000
Event	18th IASTED International Conference on Applied Informatics, AI 2000 - Innsbruck, Austria Duration: 14 May 2000 → 17 May 2000 Conference number: 18

Conference

Conference	18th IASTED International Conference on Applied Informatics, AI 2000
Abbreviated title	AI
Country	Austria
City	Innsbruck
Period	14/05/00 → 17/05/00

Keywords

EWI-7300
IR-63516
DB-MMR: MULTIMEDIA RETRIEVAL

Access to Document

http://eprints.eemcs.utwente.nl/secure2/7300/01/iasted00.pdf

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title = "A Framework for Video Modeling",

abstract = "In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for video modelling with emphasis on semantic content of video data. The video data model presented distinguishes four layers: the raw data layer, the feature layer, the object layer and the event layer. It supports automatic definition of high-level concepts, such as video objects and events, based on extracted features. We focus our attention on event descriptions in this paper and give two modelling examples in the medical and soccer domain to show that the proposed event grammar can be efficiently used in different domains.",

keywords = "EWI-7300, IR-63516, DB-MMR: MULTIMEDIA RETRIEVAL",

author = "M. Petkovic and Willem Jonker",

note = "Imported from EWI/DB PMS [db-utwente:inpr:0000003003]; 18th IASTED International Conference on Applied Informatics, AI 2000, AI ; Conference date: 14-05-2000 Through 17-05-2000",

year = "2000",

month = may,

language = "English",

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T1 - A Framework for Video Modeling

AU - Petkovic, M.

AU - Jonker, Willem

N1 - Conference code: 18

PY - 2000/5

Y1 - 2000/5

N2 - In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for video modelling with emphasis on semantic content of video data. The video data model presented distinguishes four layers: the raw data layer, the feature layer, the object layer and the event layer. It supports automatic definition of high-level concepts, such as video objects and events, based on extracted features. We focus our attention on event descriptions in this paper and give two modelling examples in the medical and soccer domain to show that the proposed event grammar can be efficiently used in different domains.

AB - In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for video modelling with emphasis on semantic content of video data. The video data model presented distinguishes four layers: the raw data layer, the feature layer, the object layer and the event layer. It supports automatic definition of high-level concepts, such as video objects and events, based on extracted features. We focus our attention on event descriptions in this paper and give two modelling examples in the medical and soccer domain to show that the proposed event grammar can be efficiently used in different domains.

KW - EWI-7300

KW - IR-63516

KW - DB-MMR: MULTIMEDIA RETRIEVAL

M3 - Paper

T2 - 18th IASTED International Conference on Applied Informatics, AI 2000

Y2 - 14 May 2000 through 17 May 2000

ER -