Multi-stage classification of images from features and related text (1997) [12 citations — 7 self]
Abstract:
The synergy of textual and visual information in Web documents provides great opportunity for improving the image indexing and searching capabilities of Web image search engines. We explore a new approach for automatically classifying images using image features and related text. In particular, we define a multi-stage classification system which progressively restricts the perceived class of each image through applications of increasingly specialized classifiers. Furthermore, we exploit the related textual information in a novel process that automatically constructs the training data for the image classifiers. We demonstrate initial results on classifying photographs and graphics from the Web. 1
Citations
| 448 | VisualSEEK: A Fully Automated Content-Based Image Query System – Smith, Chang - 1997 |
| 126 | Visually searching the Web for content – Smith, Chang - 1997 |
| 106 | Integrated spatial and feature image systems: retrieval, analysis and compression – Smith - 1997 |
| 24 | Distinguishing photographs and graphics on the world wide web – Athitsos, Swain, et al. - 1997 |
| 6 | Automatic Caption Localization for Photographs on World Wide Web Pages – Rowe, Frew - 1998 |

