-
manifold ranking (mr), a graph-based ranking algorithm, has been widely applied in information retrieval and shown to have excellent...paper, we extend the original manifold ranking algorithm and propose a new framework named efficient manifold ranking (emr). we aim to address...
Published in 2011.
-
...and scalability of graph based manifold ranking methods in image retrieval ap- plications by emphasizing reliable images while damping the effect of...to less reliable ones on manifold structure. by treating these images inequivalently, undesirable effect of noisy samples is greatly reduced, thus effectiveness of manifold ranking algo- rithms is enhanced. also...
-
...in order to improve the retrieval accuracy of content-based image retrieval systems, research focus has been...and the visual content of images for www image retrieval. in addition, some other related issues such as image test bed and retrieval performance evaluation are also discussed...
-
...euclidean structure, mmp is designed for discovering the local manifold structure. therefore, mmp is likely to be more suitable for image retrieval, where nearest neighbor search is usually involved. after projecting the images into a lower dimensional subspace, the relevant images get closer to the query image; thus, the retrieval performance can be enhanced. the...
-
...to efficiently deal with the curse of dimensionality in the content-based image retrieval (cbir) system, a novel image retrieval algorithm is proposed by combination...structure and class relations between image data. ls-svm classifier is used to classify the retrieved image into relevant or irrelevant image based on extracted low-level...
-
...this paper presents a ranking framework for content-based image retrieval using relevance feature mapping. each...feature based on the query image, and then ranks images in the database according to...
Published in 2010.
-
...content-based image retrieval (cbir) has been an active...been paid to region-based image retrieval (rbir). in this paper, a...
-
...well established and effective framework for narrowing down the gap between low-level visual features and high-level semantic concepts in content-based image retrieval. in most of traditional implementations...framework, called spec- tral regression, for learning an image subspace. this framework facilitates the...
-
...semantic gap in content-based image retrieval from two aspects: (1) irrelevant...background) scatter the mapping from image to human perception; (2) unsupervised feature extraction and similarity ranking method can not accurately reveal users' image perception. this paper pro- poses...
-
...experiential image retrieval systems aim to provide the...based on the evidential support for the relevance of each single feature. to achieve efficient refinement of the search space, images are ranked and presented to the user...