DocumentCode
1494082
Title
Techniques and systems for image and video retrieval
Author
Aslandogan, Y. Alp ; Yu, Clement T.
Author_Institution
Dept. of Electr. Eng. & Comput. Sci., Illinois Univ., Chicago, IL, USA
Volume
11
Issue
1
fYear
1999
Firstpage
56
Lastpage
63
Abstract
Storage and retrieval of multimedia has become a requirement for many contemporary information systems. These systems need to provide browsing, querying, navigation, and, sometimes, composition capabilities involving various forms of media. In this survey, we review techniques and systems for image and video retrieval. We first look at visual features for image retrieval such as color, texture, shape, and spatial relationships. The indexing techniques are discussed for these features. Nonvisual features include captions, annotations, relational attributes, and structural descriptions. Temporal aspects of video retrieval and video segmentation are discussed next. We review several systems for image and video retrieval including research, commercial, and World Wide Web-based systems. We conclude with an overview of current challenges and future trends for image and video retrieval
Keywords
content-based retrieval; database indexing; image colour analysis; image segmentation; image texture; multimedia databases; video databases; visual databases; World Wide Web-based systems; annotations; browsing; captions; color; commercial systems; composition; image retrieval; indexing techniques; information systems; multimedia retrieval; multimedia storage; navigation; nonvisual features; querying; relational attributes; research systems; shape; spatial relationships; structural descriptions; temporal aspects; texture; video retrieval; video segmentation; visual features; Content based retrieval; Image databases; Image retrieval; Image storage; Information retrieval; Information systems; Multimedia databases; Multimedia systems; Relational databases; Shape;
fLanguage
English
Journal_Title
Knowledge and Data Engineering, IEEE Transactions on
Publisher
ieee
ISSN
1041-4347
Type
jour
DOI
10.1109/69.755615
Filename
755615
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