Abstract
Multimedia is integral to both human and modern computer communications. As digital sound and imagery proliferate, the need to search for audio and visual information has increased. However, most popular search engines are still textual as described in Chapter 1, even though the diversity of Web content has transformed the Web from a merely textual to a multimedia-based repository. Web information content comes in a variety of audio, video, image, and text formats, a list of the most commonly found media formats and types being given in Table 4.1. The multimedia information is highly distributed, minimally indexed, and lacks appropriate schemas. The critical question in multimedia search is how to design a scalable, visual information retrieval system? Such audio and visual information systems require large resources for transmission, storage and processing, factors which make indexing, retrieving, and managing visual information an immense challenge.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer Science+Business Media New York
About this chapter
Cite this chapter
Chang, G., Healey, M.J., McHugh, J.A.M., Wang, J.T.L. (2001). Multimedia Search Engines. In: Mining the World Wide Web. The Information Retrieval Series, vol 10. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1639-2_4
Download citation
DOI: https://doi.org/10.1007/978-1-4615-1639-2_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5654-7
Online ISBN: 978-1-4615-1639-2
eBook Packages: Springer Book Archive