Visual Reranking for Image Retrieval over the Wikipedia Corpus

Illustration for plant image acquisition and processing (units in px): (a) an image in reduced size of a rose bush grown under a 55% shading net at the third acquisition stage

To facilitate automatic indexing and retrieval of large medical image databases, we propose a structured framework for designing and learning vocabularies of meaningful medical

The proposed approach emphasises the design coherence be- tween parent- and child-classes to provide design efficiency (in terms of reusability and extensibility) as well as to

We describe related work from several relevant research areas, including: information extraction, image retrieval, query reformulation, visual concepts detection.. Wikipedia is a

Linguistic Engineering, Information Retrieval, image retrieval, cross-lingual, content-based retrieval, visual, text-based retrieval, textual, relevance feedback, GIFT, KSite,

For each image, the similarity scores of three runs were normalized and linear combined using weights 0.7, 0.2, and 0.1 for textual query, example image, and generated visual

Our experiments showed that it is possible to achieve good retrieval performance on a medical image collection using a CBIR approach.. We used global features, which is in contrast

This new model is a mixture of low-level visual features extracted from the input picture where model’s pa- rameters are learned by using a large eye-tracking database.. Once