Results 21 to 30 of about 1,931,799 (283)

Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning

open access: yesSensors, 2022
Transformer-based approaches have shown good results in image captioning tasks. However, current approaches have a limitation in generating text from global features of an entire image.
Hojun Lee   +4 more
doaj   +1 more source

Hybrid image representation methods for automatic image annotation: a survey [PDF]

open access: yes, 2012
In most automatic image annotation systems, images are represented with low level features using either global methods or local methods. In global methods, the entire image is used as a unit.
Bechkoum, Kamal   +3 more
core   +1 more source

Unsupervised Local Feature Hashing for Image Similarity Search [PDF]

open access: yesIEEE Transactions on Cybernetics, 2016
The potential value of hashing techniques has led to it becoming one of the most active research areas in computer vision and multimedia. However, most existing hashing methods for image search and retrieval are based on global feature representations, which are susceptible to image variations such as viewpoint changes and background cluttering ...
Liu, Li, Yu, Mengyang, Shao, Ling
openaire   +4 more sources

Single-Object-Based Region Growth: Key Area Localization Model for Remote Sensing Image Scene Classification

open access: yesAdvances in Multimedia, 2022
Remote sensing image scene classification is a challenging task due to the large differences within the same classes and a large number of similar scenes among different classes.
Feiyang Li   +3 more
doaj   +1 more source

LLRHNet: Multiple Lesions Segmentation Using Local-Long Range Features

open access: yesFrontiers in Neuroinformatics, 2022
The encoder-decoder-based deep convolutional neural networks (CNNs) have made great improvements in medical image segmentation tasks. However, due to the inherent locality of convolution, CNNs generally are demonstrated to have limitations in obtaining ...
Liangliang Liu   +5 more
doaj   +1 more source

An image quality assessment algorithm based on ‘global + local’ feature fusion [PDF]

open access: yesPeerJ Computer Science
Recently, there has been increasing research on image quality assessment. Among the existing mainstream approaches, image feature extraction tends to be simplistic, leading to insufficient quality information extraction and underutilization of the ...
Yang Yang   +4 more
doaj   +2 more sources

Adapting Local Features for Face Detection in Thermal Image

open access: yesSensors, 2017
A thermal camera captures the temperature distribution of a scene as a thermal image. In thermal images, facial appearances of different people under different lighting conditions are similar.
Chao Ma   +5 more
doaj   +1 more source

Solving Visual Madlibs with Multiple Cues [PDF]

open access: yes, 2016
This paper focuses on answering fill-in-the-blank style multiple choice questions from the Visual Madlibs dataset. Previous approaches to Visual Question Answering (VQA) have mainly used generic image features from networks trained on the ImageNet ...
Alexander, C. Berg   +5 more
core   +2 more sources

Face Recognition Using Composite Features Based on Discriminant Analysis

open access: yesIEEE Access, 2018
Extracting holistic features from the whole face and extracting the local features from the sub-image have pros and cons depending on the conditions. In order to effectively utilize the strengths of various types of holistic features and local features ...
Sang-Il Choi   +3 more
doaj   +1 more source

Content-based image retrieval using a fusion of global and local features

open access: yesETRI Journal, 2023
Color, texture, and shape act as important information for images in human recognition. For content-based image retrieval, many studies have combined color, texture, and shape features to improve the retrieval performance.
Hee Hyung Bu, Nam Chul Kim, Sung Ho Kim
doaj   +1 more source

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