DocumentCode :
1299247
Title :
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
Link To Document :
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