Boosting Image Retrieval

Online photo sharing systems, such as Flickr and Picasa, provide a valuable source of human-annotated photos. Textual annotations are used not only to describe the visual content of an image, but also subjective, spatial, temporal and social dimensions, complicating the task of keywordbased search. In this paper we investigate a method that exploits visual annotations, e.g. notes in Flickr, to enhance keyword-based systems retrieval performance. For this purpose we adopt the bag-of-visual-words approach for contentbased image retrieval as our baseline. We then apply rank aggregation of the top 25 results obtained with a set of visual annotations that match the keyword-based query. The results on retrieval experiments show significant improvements in retrieval performance when comparing the aggregated approach with our baseline, which also slightly outperforms text-only search. When using a textual filter on the search space in combination with the aggregated approach an additional boo...

• Type: Conference
• Year: 2000
• Where: CVPR
• Authors: Kinh Tieu, Paul A. Viola
• Keywords: Computer Vision, Content-based Image Retrieval, Contentbased Image Retrieval, CVPR 2000, Keywords Image Retrieval, Retrieval Performance, Systems Retrieval Performance