Paper
15 January 1997 Multimedia indexing over the Web
Brent Agnew, Christos Faloutsos, Zhenyu Wang, Donald J. Welch, Xiaogang Xue
Author Affiliations +
Abstract
There has been work on database systems that can retrieve multimedia objects by their content. We are extending this work by using the World Wide Web as source and storage for multimedia objects much like current text search engines do for textual information. A system that can access all types of multimedia objects by their content is a formidable task and improvements are constantly being made to indexing techniques. We have taken an important first step in demonstrating the viability of this technique while laying the groundwork for a larger, more capable system. We have implemented a simple indexing scheme while concentrating on building the infrastructure to support this system. Our system can retrieve references to images on the WWW, index those images, and store those images using spatial access methods. We then use query by example to find a set of images on the WWW that resemble our query image. Due to its design, it is easy to include additional context features, to substitute different indexing schemes, and add other types of multimedia to our system like time sequences, voice and video.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brent Agnew, Christos Faloutsos, Zhenyu Wang, Donald J. Welch, and Xiaogang Xue "Multimedia indexing over the Web", Proc. SPIE 3022, Storage and Retrieval for Image and Video Databases V, (15 January 1997); https://doi.org/10.1117/12.263445
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CITATIONS
Cited by 7 scholarly publications.
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KEYWORDS
Databases

Multimedia

Human-machine interfaces

RGB color model

Video

Image retrieval

Java

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