Content-based query processing for video databases

Author

Kuo, Tony C T ; Chen, Arbee L P

Author_Institution

Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan

Volume

2

Issue

1

fYear

2000

fDate

3/1/2000 12:00:00 AM

Firstpage

1

Lastpage

13

Abstract

This paper presents a query processing strategy for the content-based video query language named CVQL. By CVQL, users can flexibly specify query predicates by the spatial and temporal relationships of the content objects. The query processing strategy evaluates the predicates and returns qualified videos or frames as results. Before the evaluation of the predicates, a preprocessing is performed to avoid unnecessary accessing of videos which are impossible to be the answers. The preprocessing checks the existence of the content objects specified in the predicates to eliminate unqualified videos. For the evaluation of the predicates, an M-index is designed based on the analysis of the behaviors of the content objects. The M-index is employed to avoid frame-by-frame evaluation of the predicates. Experimental results are presented to illustrate the performance of this approach

Keywords

content-based retrieval; query languages; video databases; CVQL; content-based; query language; query processing; video databases; Database languages; Database systems; Image databases; Information retrieval; Logic; Performance evaluation; Query processing; Spatial databases; Tracking; Video sharing;

fLanguage

English

Journal_Title

Multimedia, IEEE Transactions on

Publisher

ieee

ISSN

1520-9210

Type

jour

DOI

10.1109/6046.825790

Filename

825790