Interactive indexing into image databases (1908) [72 citations — 2 self]
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@INPROCEEDINGS{Swain08interactiveindexing,author = {Michael J. Swain},
title = {Interactive indexing into image databases},
booktitle = {In Storage and Retrieval for Image and Video Databases},
year = {1908},
pages = {95--103}
}
Years of Citing Articles
Abstract:
The general problem of object recognition is difficult and often requires a large amount of computing resources, even for locating an object within a single image. How, then, can it be possible to build a tool to for indexing into a a large database of, say, thousand of images, which works effectively in "interactive time " on affordable hardware? One important optimization is to take advantage of interaction with the user to find out what types of variation are expected in the database, and to rely on the user to discriminate between similar-looking objects. Another is to create appropriate data structures off-line to speed on-line searches. We are building a tool, called FINDIT, for locating the image of an object from within a large number of images of scenes which may contain the object. The user outlines and object in an image that he wants to find in the database, and specifies the constraints on the transformations of the object that are expected to occur. The program acts as a filter to quickly reduce the possible number of candidates to a number small enough to be perused by the user. FINDIT will choose an appropriate search algorithm depending on the selection of constraints by the user. 1
Citations
| 1943 | Snakes: Active contour models – Kass, Witkin, et al. - 1987 |
| 1745 | Eigenfaces for Recognition – Turk, Pentland - 1991 |
| 926 | Color indexing – Swain, Ballard - 1991 |
| 343 | A computational framework and an algorithm for the measurement of – Anandan |
| 306 | Shiftable multiscale transforms – Simoncelli, Adelson, et al. - 1992 |
| 176 | Color constant color indexing – Funt, Finlayson - 1995 |
| 14 | Motion Vision and Tracking for Robots in Dynamic, Unstructured Environments – Woodfill - 1992 |
| 9 | Smart sensing with a pyramid vision machine – Burt - 1988 |
| 9 | Color and geometry as cues for indexing – Stricker - 1992 |
| 3 | The BT/MIT Project on Advanced Image Tools for Telecommunications: An Overview – Pentland, Picard, et al. - 1993 |
| 1 | Query by image content (QBIC) status as of 8/92 – Barber, Cody, et al. - 1992 |
