Results 31 to 40 of about 6,693,779 (355)
Image Retrieval Method Based on Fuzzy Color Features and Fuzzy Smiliarity [PDF]
Jisuanji kexue, 2021 The performance of content-based image retrieval(CBIR) system mainly depends on two key technologies:image feature extraction and image feature matching.In this paper,the color features of all the images are extracted,and an appropriate fuzzy algorithm ...
WANG Chun-jing, LIU Li, TAN Yan-yan, ZHANG Hua-xiang
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Learning With Average Precision: Training Image Retrieval With a Listwise Loss [PDF]
IEEE International Conference on Computer Vision, 2019 Image retrieval can be formulated as a ranking problem where the goal is to order database images by decreasing similarity to the query. Recent deep models for image retrieval have outperformed traditional methods by leveraging ranking-tailored loss ...
Jérôme Revaud +3 more
semanticscholar +1 more source
Cooperative Cloud-Edge Feature Extraction Architecture for Mobile Image Retrieval
Complexity, 2021 Mobile image retrieval greatly facilitates our lives and works by providing various retrieval services. The existing mobile image retrieval scheme is based on mobile cloud-edge computing architecture.
Chao He, Gang Ma
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Comparison of Three retrieval accuracy of image retrieval technology
MATEC Web of Conferences, 2016 With the development of society, it began between the various sectors and industries increasingly high integration of information, and the image retrieval technology has played an increasingly important role in the current exchange of information.
He Bai Qing, Wang Zi Min
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Remote Sensing Image Retrieval with Combined Features Of Salient Region [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Low-level features tend to achieve unsatisfactory retrieval results in remote sensing image retrieval community because of the existence of semantic gap.
Z. F. Shao, W. X. Zhou, Q. M. Cheng
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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
Earth Sciences Research Journal, 2018 Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
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Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval [PDF]
Computer Vision and Pattern Recognition, 2020 Fine-grained sketch-based image retrieval (FG-SBIR) addresses the problem of retrieving a particular photo instance given a user's query sketch. Its widespread applicability is however hindered by the fact that drawing a sketch takes time, and most ...
A. Bhunia +4 more
semanticscholar +1 more source
A Large-Scale Secure Image Retrieval Method in Cloud Environment
IEEE Access, 2019 With the rapid development of cloud computing technology, more and more users choose to outsource image data to clouds. To protect data's confidentiality, images need to be encrypted before being outsourced to clouds, but this brings difficulties to some
Yanyan Xu, Xiao Zhao, Jiaying Gong
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Large-Scale Image Retrieval with Attentive Deep Local Features [PDF]
IEEE International Conference on Computer Vision, 2016 We propose an attentive local feature descriptor suitable for large-scale image retrieval, referred to as DELE (DEep Local Feature). The new feature is based on convolutional neural networks, which are trained only with image-level annotations on a ...
Hyeonwoo Noh +4 more
semanticscholar +1 more source
Composing Text and Image for Image Retrieval - an Empirical Odyssey [PDF]
Computer Vision and Pattern Recognition, 2018 In this paper, we study the task of image retrieval, where the input query is specified in the form of an image plus some text that describes desired modifications to the input image.
Nam S. Vo +6 more
semanticscholar +1 more source