Virtual multimedia libraries built from the web

Authors:
Neil C. Rowe
Affiliations:
U.S. Naval Postgraduate School, Monterey, CA
Venue:
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Year:
2002

Citing 2
Cited 0

Unifying textual and visual cues for content-based image retrieval on the World Wide Web

Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Marie-4: A High-Recall, Self-Improving Web Crawler That Finds Images Using Captions

IEEE Intelligent Systems

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Abstract

We have developed a tool MARIE-4 for building virtual libraries of multimedia (images, video, and audio) by automatically exploring (crawling) a specified subdomain of the World Wide Web to create an index based on caption keywords. Our approach uses carefully-researched criteria to identify and rate caption text, and employs both an expert system and a neural network. We have used it to create a keyword-based interface to nearly all nontrivial captioned publicly-accessible U.S. Navy images (667,573), video (8,290), and audio (2,499), called the Navy Virtual Multimedia Library (NAVMULIB).