Now showing items 1-6 of 6
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 ...
Comparative Performance Evaluation of Image Descriptors Over IEEE 802.11b NoisyWireless Networks
(IEEE (Computer Society), 2011)
Abstract—In this paper we evaluate the image retrieval procedure over an IEEE 802.11b Ad Hoc network, operating in 2.4GHz, using IEEE Distributed Coordination Function CSMA/CA as the multiple access scheme. IEEE 802.11 ...
TsoKaDo: An Image Search Engine Performing Recursive Query Recommendation Based on Visual Information
This paper tackles the problem of the user’s incapability to describe exactly the image that he seeks by introducing an innovative image search engine called TsoKaDo. Until now the traditional web image search was based ...
Automatic Image Annotation and Retrieval Using the Joint Composite Descriptor
(Institute of Electrical and Electronics Engineers (IEEE), United States, 2010)
Capable tools are needed in order to successfully search and retrieve a suitable image from large image collections. Many content-based image retrieval systems employ low-level image features such as color, texture and ...
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 ...