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Scalable search-based image annotation of personal images (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Zhang, Hong-Jiang Jing, Feng Zhang, Lei Wang, Changhu |
| Abstract | With the prevalence of digital cameras, more and more people have considerable digital images on their personal devices. As a result, there are increasing needs to effectively search these personal images. Automatic image annotation may serve the goal, for the annotated keywords could facilitate the search processes. Although many image annotation methods have been proposed in recent years, their effectiveness on arbitrary personal images is constrained by their limited scalability, i.e. limited lexicon of small-scale training set. To be scalable, we propose a searchbased image annotation (SBIA) algorithm that is analogous to Web page search. First, content-based image retrieval (CBIR) technology is used to retrieve a set of visually similar images from a large-scale Web image set. Then, a text-based keyword search (TBKS) technique is used to obtain a ranked list of candidate annotations for each retrieved image. Finally, a fusion algorithm is used to combine the ranked lists into the final annotation list. The application of both efficient search technologies and Webscale image set guarantees the scalability of the proposed algorithm. Experimental results on U. Washington dataset show not only the effectiveness and efficiency of the proposed algorithm but also the advantage of image retrieval using annotation results over that using visual features. |
| File Format | |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Personal Device Limited Scalability Many Image Annotation Method Text-based Keyword Search Similar Image Automatic Image Annotation Final Annotation List Arbitrary Personal Image Annotated Keywords Visual Feature Searchbased Image Annotation Webscale Image Set Candidate Annotation Personal Image Scalable Search-based Image Annotation Ranked List Considerable Digital Image Web Page Search Limited Lexicon Image Retrieval Large-scale Web Image Set Content-based Image Retrieval Fusion Algorithm Annotation Result Experimental Result Small-scale Training Set Efficient Search Technology |
| Content Type | Text |