Name
Abstract | ||
|---|---|---|
In this paper, we describe a system for performing browsing and retrieval on a collection of web images and associated text on an HTML page. Browsing is combined with retrieval to help a user locate interesting portions of the corpus, without the need to formulate a query well matched to the corpus. Multi-modal information, in the form of text surrounding an image and some simple image features, is used in this process. Using the system, a user progressively narrows a collection to a small number of elements of interest, similar to the Scatter/Gather system(1) developed for text browsing. We have extended the Scatter/Gather method to use multi-modal features. With the use of multiple features, some collection elements may have unknown or undefined values for some features; we present a method for incorporating these elements into the result set. This method also provides a way to handle the case when a search is narrowed to a part of the space near a boundary between two clusters. A number of examples illustrating our system are provided. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1117/12.335809 | DOCUMENT RECOGNITION AND RETRIEVAL VI |
Keywords | Field | DocType |
multi-modal information access, image/document browsing and retrieval, clustering, Web documents | Information retrieval,Result set,Information technology,Computer science,Feature (computer vision),Information access,Image retrieval | Conference |
Volume | ISSN | Citations |
3651 | 0277-786X | 7 |
PageRank | References | Authors |
4.14 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francine Chen | 1 | 1218 | 153.96 |
| Ullas Gargi | 2 | 394 | 24.56 |
| les t niles | 3 | 7 | 4.14 |
| Hinrich Schütze | 4 | 2113 | 362.21 |