Content-based retrieval in multimedia imaging

James Dowe

doi:10.1117/12.143645

14 April 1993 Content-based retrieval in multimedia imaging

James Dowe

Proceedings Volume 1908, Storage and Retrieval for Image and Video Databases; (1993) https://doi.org/10.1117/12.143645
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

Content-based retrieval is founded on neural networks, this technology allows automatic filing of images and a wide range of possible queries of the resulting database. This is in contrast to methods such as entering SQL keys manually for each image as it is filed and later correctly re-entering those keys to retrieve the same image. An SQL-based approach does not take into account information that is hard to describe with text, such as sounds and images. Neural networks can be trained to translate `noisy' or chaotic image data into simpler, more reliable feature sets. By converting the images into the level of abstraction necessary for symbolic processing, standard database indexing methods can then be applied, or used in layers of associative database neural networks directly.

Citation Download Citation

James Dowe "Content-based retrieval in multimedia imaging", Proc. SPIE 1908, Storage and Retrieval for Image and Video Databases, (14 April 1993); https://doi.org/10.1117/12.143645

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