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
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;
Journal_Title :
Knowledge and Data Engineering, IEEE Transactions on
