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Multimedia Search with Noisy Modalities: Fusion and Multistage Retrieval
(ImageClef, Wikipedia Retrieval Task, 2010)
We report our experiences from participating to the controlled experiment of the ImageCLEF 2010 Wikipedia Retrieval task. We built an experimental search engine which combines multilingual and multi-image search, employing ...
Dynamic Two-Stage Image Retrieval from Large Multimodal Databases
(Springer-Verlag, 2011)
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
(Springer, 2011)
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 ...
www.MMRetrieval.net: a multimodal search engine
(Association for Computing Machinery (ACM), United States, 2010)
We introduce an experimental search engine for multilin-
gual and multimedia information, employing a holistic web
interface and enabling the use of highly distributed indices.
Modalities are searched in parallel, and ...
Late fusion of compact composite descriptors for retrieval from heterogeneous image databases
(Association for Computing Machinery (ACM), United States, 2010)
Compact composite descriptors (CCDs) are global image
features, capturing more than one types of information at
the same time in a very compact representation. Their quality
has so far been evaluated in retrieval from ...
Accelerating Image Retrieval Using Binary Haar Wavelet Transform on the Color and Edge Directivity Descriptor
(Institute of Electrical and Electronics Engineers (IEEE), United States, 2010)
In this paper, a new accelerating technique for
content-based image retrieval is proposed, suitable for the
Color and Edge Directivity Descriptor (CEDD). To date, the
experimental results presented in the literature ...
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 ...
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
(Springer-Verlag, 2012)
Rank-based fusion is indispensable in multiple search setups in lack
of item retrieval scores, such as in meta-search with non-cooperative engines.
We introduce a novel, simple, and efficient method for rank-based late ...