Results 51 to 60 of about 678,145 (379)
Deep Learning Based Image Retrieval in the JPEG Compressed Domain [PDF]
arXiv, 2021 Content-based image retrieval (CBIR) systems on pixel domain use low-level features, such as colour, texture and shape, to retrieve images. In this context, two types of image representations i.e. local and global image features have been studied in the literature.
arxiv
, 2015 This paper approaches the image retrieval system on the base of visual features local region RBIR (region-based image retrieval). First of all, the paper presents a method for extracting the interest points based on Harris-Laplace to create the feature ...
Le, Thanh Manh, Van, Thanh The
core +1 more source
The application of user log for online business environment using content-based Image retrieval system [PDF]
, 2006 Over the past few years, inter-query learning has gained much attention in the research and development of content-based image retrieval (CBIR) systems.
Chong, S. +3 more
core +2 more sources
Social context prevents heat hormetic effects against mutagens during fish development
FEBS Letters, EarlyView.This study shows that sublethal heat stress protects fish embryos against ultraviolet radiation, a concept known as ‘hormesis’. However, chemical stress transmission between fish embryos negates this protective effect. By providing evidence for the mechanistic molecular basis of heat stress hormesis and interindividual stress communication, this study ...
Lauric Feugere +5 more
wiley +1 more source
Survey on the privacy-preserving content based image retrieval
网络与信息安全学报, 2019 With the widespread popularity of smart devices and social media,the number of image data is exponentially increasing.The data owners tend to outsource the local data to the cloud servers,where data is stored,shared and retrieved.However,the content of ...
Ying WU, Xuan LI, Biao JIN, Rongrong JIN
doaj +3 more sources
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH Text [PDF]
arXiv, 2022 Multimodal learning is a recent challenge that extends unimodal learning by generalizing its domain to diverse modalities, such as texts, images, or speech. This extension requires models to process and relate information from multiple modalities. In Information Retrieval, traditional retrieval tasks focus on the similarity between unimodal documents ...
arxiv
Who's Afraid of Adversarial Queries?: The Impact of Image Modifications on Content-based Image Retrieval [PDF]
International Conference on Multimedia Retrieval, 2019 An adversarial query is an image that has been modified to disrupt content-based image retrieval (CBIR), while appearing nearly untouched to the human eye. This paper presents an analysis of adversarial queries for CBIR based on neural, local, and global
Zhuoran Liu, Zhengyu Zhao, M. Larson
semanticscholar +1 more source
FEBS Letters, EarlyView.Heart failure with preserved ejection fraction (HFpEF) accounts for half of the heart failure cases. It is characterised by microvascular dysfunction, associated with reduced pericyte coverage and diminished STAT3 expression in pericytes. Loss of STAT3 impairs pericyte adhesion, promotes senescence, and activates a pro‐fibrotic gene program.
Leah Rebecca Vanicek +15 more
wiley +1 more source
Correlated Primary Visual Texton Histogram Features for Content Base Image Retrieval
IEEE Access, 2018 In this paper, a new feature descriptor, named correlated primary visual texton histogram features (CPV-THF), for image retrieval is proposed. CPV-THF integrates the visual content and semantic information of the image by finding correlations among the ...
Ahmad Raza +5 more
doaj +1 more source
Information-Theoretic Active Learning for Content-Based Image Retrieval
, 2019 We propose Information-Theoretic Active Learning (ITAL), a novel batch-mode active learning method for binary classification, and apply it for acquiring meaningful user feedback in the context of content-based image retrieval.
A Freytag +11 more
core +1 more source