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, ...
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 ...
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 ...
A Fuzzy Rank-Based Late Fusion Method for Image Retrieval
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 ...