Results 21 to 30 of about 599,124 (143)
Variational recurrent sequence-to-sequence retrieval for stepwise illustration [PDF]
We address and formalise the task of sequence-to-sequence (seq2seq) cross-modal retrieval. Given a sequence of text passages as query, the goal is to retrieve a sequence of images that best describes and aligns with the query.
Batra, Vishwas+5 more
core +3 more sources
Comparison of Three retrieval accuracy of image retrieval technology
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
doaj +1 more source
A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
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
doaj +1 more source
Remote Sensing Image Retrieval with Combined Features Of Salient Region [PDF]
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
doaj +1 more source
User experiments with the Eurovision cross-language image retrieval system [PDF]
In this paper we present Eurovision, a text-based system for cross-language (CL) image retrieval. The system is evaluated by multilingual users for two search tasks with the system configured in English and five other languages.
Armitage+37 more
core +1 more source
A Large-Scale Secure Image Retrieval Method in Cloud Environment
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
doaj +1 more source
Bridging the Gap between Local Semantic Concepts and Bag of Visual Words for Natural Scene Image Retrieval [PDF]
This paper addresses the problem of semantic-based image retrieval of natural scenes. A typical content-based image retrieval system deals with the query image and images in the dataset as a collection of low-level features and retrieves a ranked list of images based on the similarities between features of the query image and features of images in the ...
arxiv
Deep Image Retrieval is not Robust to Label Noise [PDF]
Large-scale datasets are essential for the success of deep learning in image retrieval. However, manual assessment errors and semi-supervised annotation techniques can lead to label noise even in popular datasets. As previous works primarily studied annotation quality in image classification tasks, it is still unclear how label noise affects deep ...
arxiv
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
A Neutrosophic Image Retrieval Classifier
In this paper, we propose a two-phase Content-Based Retrieval System for images embedded in the Neutrosophic domain. In this first phase, we extract a set of features to represent the content of each image in the training database. In the second phase, a similarity measurement is used to determine the distance between the image under consideration ...
A. E. Fawzy, Mohamed Eisa, A. A. Salama
openaire +4 more sources