Translator Disclaimer
21 November 1995 Image/text automatic indexing and retrieval system using context vector approach
Author Affiliations +
Proceedings Volume 2606, Digital Image Storage and Archiving Systems; (1995)
Event: Photonics East '95, 1995, Philadelphia, PA, United States
Thousands of documents and images are generated daily both on and off line on the information superhighway and other media. Storage technology has improved rapidly to handle these data but indexing this information is becoming very costly. HNC Software Inc. has developed a technology for automatic indexing and retrieval of free text and images. This technique is demonstrated and is based on the concept of `context vectors' which encode a succinct representation of the associated text and features of sub-image. In this paper, we will describe the Automated Librarian System which was designed for free text indexing and the Image Content Addressable Retrieval System (ICARS) which extends the technique from the text domain into the image domain. Both systems have the ability to automatically assign indices for a new document and/or image based on the content similarities in the database. ICARS also has the capability to retrieve images based on similarity of content using index terms, text description, and user-generated images as a query without performing segmentation or object recognition.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kent Pu Qing, William R. Caid, Clara Z. Ren, and Patrick McCabe "Image/text automatic indexing and retrieval system using context vector approach", Proc. SPIE 2606, Digital Image Storage and Archiving Systems, (21 November 1995);

Back to Top