Exploiting label semantic relatedness for unsupervised image annotation with large free vocabularies
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7357-2
Abstract: Automatic Image Annotation (AIA) is the task of assigning keywords to images, with the aim to describe their visual content. Recently, an unsupervised approach has been used to tackle this task. Unsupervised AIA (UAIA) methods… read more here.
Keywords: uaia methods; semantic relatedness; image annotation; free vocabularies ... See more keywords
A methodology for image annotation of human actions in videos
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-09091-2
Abstract: In the context of video-based image classification, image annotation plays a vital role in improving the image classification decision based on it’s semantics. Though, several methods have been introduced to adopt the image annotation such… read more here.
Keywords: proposed technique; methodology; image; image annotation ... See more keywords
Image annotation: the effects of content, lexicon and annotation method
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Multimedia Information Retrieval"
DOI: 10.1007/s13735-020-00193-z
Abstract: Image annotation is the process of assigning metadata to images, allowing effective retrieval by text-based search techniques. Despite the lots of efforts in automatic multimedia analysis, automatic semantic annotation of multimedia is still inefficient due… read more here.
Keywords: effects content; image; content lexicon; image annotation ... See more keywords
Automatic image annotation by combining generative and discriminant models
Sign Up to like & getrecommendations! Published in 2017 at "Neurocomputing"
DOI: 10.1016/j.neucom.2016.09.108
Abstract: Generative model based image annotation methods have achieved good annotation performance. However, due to the problem of semantic gap, these methods always suffer from the images with similar visual features but different semantics. It seems… read more here.
Keywords: image; image annotation; annotation; discriminant models ... See more keywords
Trigraph Regularized Collective Matrix Tri-Factorization Framework on Multiview Features for Multilabel Image Annotation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2950701
Abstract: Due to the explosive growth of image data, image annotation has been one of the most popular research directions in computer vision. It has been widely used in image retrieval, image analysis and understanding. Because… read more here.
Keywords: tri factorization; image annotation; annotation; image ... See more keywords
Automatic Image Annotation Based on Deep Learning Models: A Systematic Review and Future Challenges
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3068897
Abstract: Recently, much attention has been given to image annotation due to the massive increase in image data volume. One of the image retrieval methods which guarantees the retrieval of images in the same way as… read more here.
Keywords: based aia; image annotation; image; automatic image ... See more keywords
An Improved Automatic Image Annotation Approach Using Convolutional Neural Network-Slantlet Transform
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3140861
Abstract: Every day, websites and personal archives generate an increasing number of photographs. The extent of these archives is unfathomable. The ease of usage of these enormous digital image collections contributes to their popularity. However, not… read more here.
Keywords: image; image annotation; convolutional neural; neural network ... See more keywords
Automated Image Annotation With Novel Features Based on Deep ResNet50-SLT
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3266296
Abstract: Due to their vast size, the growing number of digital images found in personal archives and on websites has become unmanageable, making it challenging to retrieve images from these large databases accurately. While these collections… read more here.
Keywords: system; annotation; image annotation; resnet50 slt ... See more keywords
Multilabel Remote Sensing Image Annotation With Multiscale Attention and Label Correlation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3091134
Abstract: Deep-learning-based multilabel image annotation is receiving increasing attention in the field of remote sensing due to the great success of deep networks in single-label remote sensing image classification. Compared with those low-level features, the features… read more here.
Keywords: remote sensing; attention; image annotation; image ... See more keywords
Deep Learning for Multilabel Remote Sensing Image Annotation With Dual-Level Semantic Concepts
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2960466
Abstract: Multilabel remote sensing (RS) image annotation is a challenging and time-consuming task that requires a considerable amount of expert knowledge. Most existing RS image annotation methods are based on handcrafted features and require multistage processes… read more here.
Keywords: remote sensing; level; image annotation; image ... See more keywords
Adaptive Hypergraph Embedded Semi-Supervised Multi-Label Image Annotation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2019.2909860
Abstract: Multilabel image annotation attracts a lot of research interest due to its practicability in multimedia and computer vision fields, while the need for a large amount of labeled training data to achieve promising performance makes… read more here.
Keywords: adaptive hypergraph; hypergraph embedded; image annotation; annotation ... See more keywords