Web image clustering by consistent utilization of visual features and surrounding texts
Proceedings of the 13th annual ACM international conference on Multimedia
EnjoyPhoto: a vertical image search engine for enjoying high-quality photos
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Clustering web images with multi-modal features
Proceedings of the 15th international conference on Multimedia
Proceedings of the 17th international conference on World Wide Web
PCM'10 Proceedings of the 11th Pacific Rim conference on Advances in multimedia information processing: Part I
| Hi-index | 0.00 |
In this paper, a novel inhomogeneous clustering method is proposed for grouping web images. It is used to re-organize the search result of web image search engines into a hierarchical structure so that the users can conveniently browse the search result. This method takes into account various features associated with web images, and treats them in different ways. For the surrounding text extracted from the containing web pages, co-clustering approach is adopted; for low-level features of the image content and other features, one-way clustering approach is adopted. The clustering results of different approaches are combined together to produce the final image groups. Experimental results demonstrate the effectiveness of the proposed method.