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Image retrieval on the Honeycomb Image Browser
2010 IEEE International Conference on Image Processing, 2010Efficient and effective approaches of dealing with the vast amount of visual information available nowadays are highly sought after. This is particularly the case for image collections, both personal and commercial. Due to the magnitude of these ever expanding image repositories, annotation of all images images is infeasible, and search in such an ...
William Plant, Gerald Schaefer
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VIVIDNESS OF IMAGE AND RETRIEVAL TIME
Perceptual and Motor Skills, 1991The relationship between vividness of image and information-retrieval time was examined. In an integrated-image condition the retrieval time for a vivid-image set was shorter than the retrieval time for a dim-image set; on the other hand, there was no difference in retrieval time between vivid- and dim-image sets in a verbal-rehearsal condition.
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Image Tangent Space for Image Retrieval
18th International Conference on Pattern Recognition (ICPR'06), 2006Image tangent space is actually high-level semantic space learned from low-level feature space by modified local tangent space alignment which was originally proposed for nonlinear manifold learning. Under the assumption that a data point in image space can be linearly approximated by some nearest neighbors in its local neighborhood, we develop a lazy ...
Hongyu Li 0001 +3 more
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Image retrieval ++—web image retrieval with an enhanced multi-modality ontology
Multimedia Tools and Applications, 2008In this paper we present an enhanced multi-modality ontology-based approach for web image retrieval step by step. Several ontology-based approaches have been made in the field of multimedia retrieval. Our multi-modality approach is one of the earliest attempts to integrate information from different modalities and apply the model in a complex domain ...
Huan Wang 0004 +2 more
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Compounded Face Image Retrieval Based on Vertical Web Image Retrieval
2011 Sixth Annual Chinagrid Conference, 2011Text-based image search engine and content-based image retrieval (CBIR) have achieved much progress in commerce and academic community. In addition, a few attempts have been conducted to integrate the two techniques for image retrieval in web context.
Ran Zheng +4 more
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Image retrieval from remote sensing big data: A survey
Information Fusion, 2021Yansheng Li, Jiayi Ma, Yongjun Zhang
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Cross-modal Graph Matching Network for Image-text Retrieval
ACM Transactions on Multimedia Computing, Communications and Applications, 2022Yuhao Cheng +2 more
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