Results 11 to 20 of about 11,715,308 (241)
Multi modal multi-semantic image retrieval [PDF]
, 2010 PhDThe rapid growth in the volume of visual information, e.g. image, and video can overwhelm users’ ability to find and access the specific visual information of interest to them.
Kesorn, Kraisak
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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform
Journal of Mathematics, 2022 Aiming at the problems of low image data retrieval accuracy and slow retrieval speed in the existing image database retrieval algorithms, this paper designs a clothing image database retrieval algorithm based on wavelet transform.
Xiaoyue Cui
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IEEE Access, 2020 Many image features have been proposed for image retrieval; hence, effectively fusing these features to alleviate the large variation in performance among image queries when using single image features has become a major challenge in remote sensing (RS ...
Famao Ye +4 more
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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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A flexible image retrieval framework [PDF]
, 2007 This paper discusses a framework for image retrieval. Most current systems are based on a single technique for feature extraction and similarity search. Each technique has its advantages and drawbacks concerning the result quality. Usually they cover one
Lu, Joan +4 more
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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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Saliency for Image Description and Retrieval [PDF]
, 2006 We live in a world where we are surrounded by ever increasing numbers of images. More often than not, these images have very little metadata by which they can be indexed and searched.
Hare, Jonathon S.
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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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Multitraining support vector machine for image retrieval [PDF]
, 2006 Relevance feedback (RF) schemes based on support vector machines (SVMs) have been widely used in content-based image retrieval (CBIR). However, the performance of SVM-based RF approaches is often poor when the number of labeled feedback samples is small.
Tao, D. +7 more
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