The modified generic polar harmonic transforms for image representation
Sign Up to like & getrecommendations! Published in 2019 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-019-00840-0
Abstract: This paper introduces four classes of orthogonal transforms by modifying the generic polar harmonic transforms. Then, the rotation invariant feature of the proposed transforms is investigated. Compared with the traditional generic polar harmonic transforms, the… read more here.
Keywords: harmonic transforms; polar harmonic; generic polar; image representation ... See more keywords
Fine-Tuning and training of densenet for histopathology image representation using TCGA diagnostic slides
Sign Up to like & getrecommendations! Published in 2021 at "Medical image analysis"
DOI: 10.1016/j.media.2021.102032
Abstract: Feature vectors provided by pre-trained deep artificial neural networks have become a dominant source for image representation in recent literature. Their contribution to the performance of image analysis can be improved through fine-tuning. As an… read more here.
Keywords: fine tuning; image; image representation; histopathology ... See more keywords
RGTransformer: Region-Graph Transformer for Image Representation and Few-Shot Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3155991
Abstract: The goal of few-shot image classification is to learn a classifier that can be well generalized to the unseen classes with a few available labeled samples. One major challenge for few-shot learning is how to… read more here.
Keywords: classification; image representation; region; rgtransformer ... See more keywords
Contextual Exemplar Classifier-Based Image Representation for Classification
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2016.2527380
Abstract: The use of local features for image representation has become popular in recent years. Local features are often used in the bag-of-visual-words scheme. Although proven effective, this method still has two drawbacks. First, local regions… read more here.
Keywords: classification; image; exemplar classifier; image representation ... See more keywords
Consensus Sparsity: Multi-Context Sparse Image Representation via L∞-Induced Matrix Variate
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3231083
Abstract: The sparsity is an attractive property that has been widely and intensively utilized in various image processing fields (e.g., robust image representation, image compression, image analysis, etc.). Its actual success owes to the exhaustive mining… read more here.
Keywords: image representation; sparsity; tex math; inline formula ... See more keywords
General Knowledge Embedded Image Representation Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2017.2724843
Abstract: Image representation learning is a fundamental problem in understanding semantics of images. However, traditional classification-based representation learning methods face the noisy and incomplete problem of the supervisory labels. In this paper, we propose a general… read more here.
Keywords: representation learning; general knowledge; image representation; representation ... See more keywords
A Novel Image Representation Method Under a Non-Standard Positional Numeral System
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.2995258
Abstract: Image representation is an active research area in the field of image processing. This paper proposes a novel image representation method under a non-standard positional numeral system, wherein complex numbers are used as bases in… read more here.
Keywords: representation method; system; image; image representation ... See more keywords
A Principled Design of Image Representation: Towards Forensic Tasks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3204971
Abstract: Image forensics is a rising topic as the trustworthy multimedia content is critical for modern society. Like other vision-related applications, forensic analysis relies heavily on the proper image representation. Despite the importance, current theoretical understanding… read more here.
Keywords: image representation; design image; principled design; forensic tasks ... See more keywords
Image Representation on Curved Optimal Triangulation
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14495
Abstract: Image triangulation aims to generate an optimal partition with triangular elements to represent the given image. One bottleneck in ensuring approximation quality between the original image and a piecewise approximation over the triangulation is the… read more here.
Keywords: triangulation; image representation; optimal triangulation; curved optimal ... See more keywords
Multimodal Medical Image Registration Based on an Information-Theory Measure with Histogram Estimation of Continuous Image Representation
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/2135453
Abstract: This work presents a novel method for multimodal medical registration based on histogram estimation of continuous image representation. The proposed method, regarded as “fast continuous histogram estimation,” employs continuous image representation to estimate the joint… read more here.
Keywords: histogram estimation; image; image representation; continuous image ... See more keywords
SSNet: Learning Mid-Level Image Representation Using Salient Superpixel Network
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app10010140
Abstract: In the standard bag-of-visual-words (BoVW) model, the burstiness problem of features and the ignorance of high-order information often weakens the discriminative power of image representation. To tackle them, we present a novel framework, named the… read more here.
Keywords: image; order; image representation; salient superpixel ... See more keywords