Zobrazeno 1 - 10
of 819
pro vyhledávání: '"Fisher vector"'
Publikováno v:
IEEE Access, Vol 12, Pp 90768-90781 (2024)
Dynamic texture classification has been widely studied because of its applications in various computer vision tasks. The key to classifying dynamic textures lies in describing them, i.e., extracting features from them. A variety of traditional dynami
Externí odkaz:
https://doaj.org/article/6b292b00806c4f86bbf9f17585e57369
Publikováno v:
Al-Iraqia Journal for Scientific Engineering Research, Vol 2, Iss 3 (2023)
Facial expression recognition (FER) is a significant area of study in computer vision and affective computing. In numerous applications, such as human-computer interaction, emotion detection, and behavior analysis. Feature extraction is a crucial sta
Externí odkaz:
https://doaj.org/article/96ad380161c3495399380041a41b9a0c
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 3, Pp 3147-3159 (2022)
Abstract The key to skeleton-based action recognition is how to extract discriminative features from skeleton data. Recently, graph convolutional networks (GCNs) are proven to be highly successful for skeleton-based action recognition. However, exist
Externí odkaz:
https://doaj.org/article/afb80a562420478fb94814c5229cd330
Akademický článek
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Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9639-9653 (2022)
This article addresses the problem of superpixel-bases segmentation of synthetic aperture radar (SAR) images. Most superpixel segmentation methods have difficulties in segmenting adjacent regions with similar gray values, due to only considering spat
Externí odkaz:
https://doaj.org/article/591ec22891cd441ba0c1702158c55ba6
Publikováno v:
IEEE Access, Vol 10, Pp 13174-13181 (2022)
This paper presents an effective blind image quality assessment (BIQA) method for screen content images (SCIs) based on Fisher vector encoding, with the hypothesis that local statistics will be altered with the change of distortions, and can be chara
Externí odkaz:
https://doaj.org/article/8f1467eab50b46ae9bfda2bfbb2aeaea
Publikováno v:
IEEE Access, Vol 10, Pp 15911-15923 (2022)
Most of the available American Sign Language (ASL) words share similar characteristics. These characteristics are usually during sign trajectory which yields similarity issues and hinders ubiquitous application. However, recognition of similar ASL wo
Externí odkaz:
https://doaj.org/article/9e25eb4013d84d1cae533155329be581
Publikováno v:
IEEE Access, Vol 8, Pp 157587-157601 (2020)
This article proposes a novel contour-based mid-level shape description method for shape classification. This method resolves the shortcomings of low-level shape descriptors in dealing with the shapes of objects with large intra-class changes and non
Externí odkaz:
https://doaj.org/article/dc8af6117b4448bb9669e09ba0cb4728
Autor:
S. Divya Meena, L. Agilandeeswari
Publikováno v:
IEEE Access, Vol 7, Pp 151783-151802 (2019)
The automatic classification of animal images is an onerous task due to the challenging image conditions, especially when it comes to animal breeds. In this paper, we built a semi-supervised learning based Multi-part Convolutional Neural Network (MP-
Externí odkaz:
https://doaj.org/article/1529b2ee62324a848e22f5c64fd5053f
Akademický článek
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