The recent papers described in literature review are used to enhance the study of CBIR-based applications. This paper is useful for the researchers willing to pursue their research in content-based image retrieval.Agrawal, DeeptiGLA UniversityAgarwal, Apurva...
Image RetrievalMPEG-7Histogram basedFirst Order statisticsEntropy based CBIRHistogram basedSummary: Rapid development of multimedia technologies made Content Based Image Retrieval (CBIR) an energetic research area for the researchers of multimedia domain. Texture and color features have been the primal ...
The paper presents a panoramic view of the work carried out in the last few years in the area of interactive content-based image retrieval. We define a unifying framework based on query space in which existing methods are described. The framework allows to evaluate methods in their proper conte...
Research on integrating spatial information into content-based image retrieval (CBIR) is aimed at solving the problem caused by global feature based algori... SY Dai,YJ Zhang - 《Pattern Recognition Letters》 被引量: 20发表: 2005年 Intention -based Image Retrieval with or without a Query Image...
Content Based Image Retrieval (CBIR) CBIR is a task to find images similar to a query image in a set of candidate images. Let X be the instance space. Let q ∈ X be a query image and C = {ci|ci ∈ X}Ni=1 be a set of candidate images where N is the number of ca...
A survey on current content-based image retrieval methods. IETE J. Res. 48 (3&4), 261-271.Manesh Kokare, B .N.Chatterji, P.K.Biswas. "A Survey on current content based Image Retrieval Methods", IETE Journal of Research, Vol. 48, No. 3 & 4, pp. 261-271, 2002....
摘要: Text- and content-based retrieval are the most widely used approaches for medical image retrieval. They capture the similarity between the images from different perspectives: text-based methods rely...DOI: 10.1007/978-3-319-49644-3_14 ...
Summary: We present a CBIR system (Content-based Image Retrieval). The system establishes a set of visual features which will be automatically generated. The sort of features is diverse and they are related to various concepts. After visual features calculation, a calibration process is performed ...
This paper illustrates the potential of kernel PCA for dimensionality reduction and feature extraction in content-based image retrieval. By the use of Gaussian kernels, the principal components were computed in the feature space of an image data set and they are used as new dimensions to ...
and a very long time in the life of contemporary technology. We want to take a look at the Content-Based Image Retrieval twenty years after the "early years", what are the recent advancements in the field in the era of Deep Learning, and try to see what the next years will look like...