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Content-based indexing and retrieval of visual information

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1 Author(s)
Shi-Fu Chang ; Columbia Univ., NY, USA

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

Published in:
Signal Processing Magazine, IEEE  (Volume:14 ,  Issue: 4 )

Date of Publication: Jul 1997

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