Content-based indexing and retrieval of visual information

Author

Chang, Shi-Fu

Author_Institution

Columbia Univ., NY, USA

Volume

14

Issue

4

fYear

1997

fDate

7/1/1997 12:00:00 AM

Firstpage

45

Lastpage

48

Abstract

The ease of capturing and encoding digital images has produced a massive amount of visual information online. As a consequence, grand challenges have emerged in the areas of storage, indexing, and retrieval of visual information in large archives. How does one find a photograph from a large archive that contains millions of pictures? How does a CNN video journalist find a specific clip from the myriad of video tapes, ranging from historical to contemporary, from sports to humanities? Efficient, real-time algorithms and systems are needed to address these needs of not only professionals but for users who want to find visual information online

Keywords

indexing; multimedia computing; query processing; visual databases; archives; content based indexing; content based retrieval; digital image encoding; image databases; multimedia content analysis; multimedia content based indexing; online visual information; photograph; real-time algorithms; real-time systems; video tapes; visual information indexing; visual information retrieval; visual information storage; Broadcasting; Cellular neural networks; Content based retrieval; Digital images; Image coding; Image retrieval; Indexing; Information retrieval; Real time systems; Signal processing algorithms;

fLanguage

English

Journal_Title

Signal Processing Magazine, IEEE

Publisher

ieee

ISSN

1053-5888

Type

jour

DOI

10.1109/79.598595

Filename

598595