Now showing items 1-5 of 5
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
Content-based image retrieval (CBIR) with global features is notoriously noisy, especially for image queries with low percentages of relevant images in a collection. Moreover, CBIR typically ranks the whole collection, ...
Fusion vs. Two-Stage for Multimodal Retrieval
We compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually. The second is a two-stage method that visually re-ranks the top-K results ...
Bag-of-visual-words vs global image descriptors on two-stage multimodal retrieval
(ACM SIGIR 2011, 2011)
The Bag-Of-Visual-Words (BOVW) paradigm is fast becoming a popular image representation for Content-Based Image Retrieval (CBIR), mainly because of its better retrieval effectiveness over global feature representations ...
DUTH at ImageCLEF 2011 Wikipedia Retrieval
(ImageClef, Wikipedia Retrieval Task, 2011)
As digital information is increasingly becoming multimodal, the days of single-language text-only retrieval are numbered. Take as an example Wikipedia where a single topic may be covered in several languages and include ...
The TREC files: the (ground) truth is out there
(Association for Computing Machinery (ACM), United States, 2011)
Traditional tools for information retrieval (IR) evaluation, such as TREC’s trec_eval, have outdated command-line interfaces with many unused features, or ‘switches’, accumulated over the years. They are usually seen ...