VideoRoadMap: a system for interactive classification and indexing of still and motion pictures

Author

Panchanathan, S. ; Golshani, F. ; Park, Y.C.

Author_Institution

Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA

Volume

1

fYear

1998

Firstpage

18

Abstract

The large scale proliferation of multimedia data necessitates the use of sophisticated techniques for accessing the information based on the content. VideoRoadMap is a new content-based video indexing system for retrieving video clips and images from multimedia databases. The system indexes the audio-visual information using spatio-temporal features and information modeling methods. The proposed system employs adaptive similarity measurements based on content of media objects resulting in accurate retrieval. In addition, VideoRoadMap includes a powerful multi-faceted querying mechanism, which allows queries to be formulated and presented in a variety of modes, including query by example (image and/or video), query by sketch, query by object motion trajectory

Keywords

classification; indexing; information retrieval systems; multimedia computing; query processing; visual databases; VideoRoadMap; adaptive similarity measurements; content-based video indexing system; image retrieval; information modeling methods; interactive classification; motion pictures; multi-faceted querying mechanism; multimedia data; multimedia databases; object motion trajectory; query by example; query by sketch; spatio-temporal features; still pictures; video clips; Content based retrieval; Feature extraction; Image retrieval; Indexing; Information retrieval; Motion pictures; Multimedia databases; Multimedia systems; Streaming media; Video compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1998. IMTC/98. Conference Proceedings. IEEE

ISSN

1091-5281

Print_ISBN

0-7803-4797-8

Type

conf

DOI

10.1109/IMTC.1998.679635

Filename

679635