ACTIVE RELEVANCE FEEDBACK FOR INTERACTIVE SATELLITE IMAGE RETRIEVAL

visual lf: visual RF using late fusion (and the CombMNZ fusion rule) to fuse the relevant image results and the original query results with the visual ones.. mixed rocchio:

Three additional contributions are the introduction of (i) two new parameteri- zations of transmedia and pseudo-relevance models, (ii) correction parameters for inter-query

We present a preliminary taxonomy that we constructed based on the find- ings from a systematic literature review, which places 78 classifications categories for user feedback into

We experimentally noticed that selecting images close to the boundary between relevant and irrelevant classes is definitively efficient, but when considering a subset of images close

We submitted 8 runs for ImageCLEF Wikipedia Retrieval this year, of which 6 where monolingual English, German and French with differing search areas in the metadata record, one

Our expanded query runs did use the example images in topics, this involved retrieving the associated metadata records from the 2006 database for the example image ids included in

To process image queries, we used a third-steps method: (1) a first step processes images using the Fire System [3], (2) we then use pseudo-relevance feedback to construct new

In the experimental evaluation of Image Hunter we performed both a full automatic test by using the MIRFLICKR-25000 collection [10] and a User Experience test using a subset of