Extraction of Information of Audio-Visual Contents by Carlos Aguilar, Lydia Sánchez, Manuel Campos

“…In this article we show how it is possible to use Channel Theory (Barwise and Seligman, 1997) for modeling the process of information extraction realized by audiences of audio-visual contents. …”
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Automatic Extraction and Visualization of Interaction Networks for German Fairy Tales by David Schmidt, Frank Puppe

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Extraction and visualization analysis of key elements of tax preferential policies by Haishan GUAN, Yulong ZHENG, Bifan WEI, Zemin ZHANG, Hao YUE, Bin SHI, Bo DONG

Subjects: “…preferential tax policy;pre-trained language model;information extraction;visualization…”
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Zero-shot LLM-based visual acuity extraction: a pilot study by Shrirajh Satheakeerthy, Daniel Jesudason, Bobak Bahrami, Stephen Bacchi, Yong Min Lee, Robert Casson, Michelle Sun, WengOnn Chan

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Erratum to: 'EMOTIONAL CONTENT EXTRACTION AND COMPETITION FOR ATTENTIONAL RESOURCES IN HUMAN VISUAL CORTEX' by V.D. Bekhtereva, M.M. Müller

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Improved Visual SLAM Algorithm Based on Dynamic Scenes by Jinxing Niu, Ziqi Chen, Tao Zhang, Shiyu Zheng

Subjects: “…visual SLAM…”
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Architecture and optimization of data mining modeling for visualization of knowledge extraction: Patient safety care by Gebeyehu Belay Gebremeskel, Birhanu Hailu, Belete Biazen

“…Visualization of the knowledge extraction process is a front line to reveal the detail process and data structure, which is an advanced technique for the presentation of data modeling. …”
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Vision Transformers (ViTs) for Feature Extraction and Classification of AI-Generated Visual Designs by Qing Yun

“…We investigate the effectiveness of advanced deep learning architectures including High Resolution Networks (HRNet), and Vision Transformers (ViT) which are generally accurate when used to infer the creative characteristics of human visual art. The proposed model ViT, employing a mechanism of self-attention to process images as sequences of patches for feature extraction, is examined for its potential to capture global contextual relationships within images, which is essential for recognizing the nuanced differences between AI and human artistry. …”
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ＲGB-DSLAM Visual Odometry Optimization Algorithm by DONG Jing-wei, JIANG Yi-ming, HAN Zhi-yu

“…In view of the long time-consuming and poor precision of ＲGB-D SLAM algorithm in the field ofvisual SLAM，an implementation scheme of ＲGB-D SLAM visual odometry is proposed. Based on the traditional visual odometer implementation scheme，the OＲB feature extraction algorithm is used to extract the features of the image and calculate the descriptor to match the features of the map points in the local map. …”
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Role of Visual Saliency in Video Quality Assessments by Syeda Eesha-Tir-Razia, Qaisar Abbas, Imran Fareed Nizami, Adil Ali Raja, Mutlaq B. Aldajani, Mudasir Wahab, Tallha Akram, Sadiq Ahmad

Subjects: “…Feature extraction…”
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Exhibiting the Extractive: Bitumen in Fort McMurray by Elysia French

“…In the article, I emphasize how an established visual language, rooted in settler-colonial and extractive-capitalist practices, is adapted to maintain and advance the industrial operations and development of the tar sands. …”
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Visual–Inertial Autonomous UAV Navigation in Complex Illumination and Highly Cluttered Under-Canopy Environments by Leyang Zhao, Weixi Wang, Qizhi He, Li Yan, Xiaoming Li

“…Initially, image enhancement techniques are integrated with neural network-based visual feature extraction. Subsequently, employs a high-dimensional error-state optimizer coupled with a low-dimensional height filter to achieve high-precision localization of the UAV in under-canopy environments. …”
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Visual and Refractive Outcomes of Small-Incision Lenticule Extraction in High Myopia: 5-Year Results by Alper Ağca, İhsan Çakır, Beril Tülü Aygün, Dilek Yaşa, Yusuf Yıldırım, Burçin Kepez Yıldız, Ahmet Demirok

“…Purpose. To report long-term visual and refractive results of small-incision lenticule extraction (SMILE) in treatment of high myopia. …”
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A Robust Rotation-Equivariant Feature Extraction Framework for Ground Texture-Based Visual Localization by Yuezhen Cai, Linyuan Xia, Ting On Chan, Junxia Li, Qianxia Li

Subjects: “…visual localization…”
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A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization. by Karim Rajaei, Seyed-Mahdi Khaligh-Razavi, Masoud Ghodrati, Reza Ebrahimpour, Mohammad Ebrahim Shiri Ahmad Abadi

“…The brain mechanism of extracting visual features for recognizing various objects has consistently been a controversial issue in computational models of object recognition. …”
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Enhancing agricultural data interpretability and visualization with TabNet-driven feature extraction and Local Biplots by J. Triana-Martinez, A. Álvarez-Meza, G. Castellanos-Dominguez

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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

“…CNN models are often viewed as black boxes due to the challenge of understanding their learned behaviors, Visualizing Intermediate Activations (VIA) was used to address this issue. …”
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Visualization of defects in perovskite solar cells using electroluminescence, photoluminescence, and thermal imaging methods by Koki Kimura, Itaru Raifuku, Tatsuro Kawamura, Yasuaki Ishikawa

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Development of gaze feature extraction and skill level identification techniques for visual evaluation of fluid simulation results by Taichi MAEDA, Keiichi WATANUKI

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SAVL: Scene-Adaptive UAV Visual Localization Using Sparse Feature Extraction and Incremental Descriptor Mapping by Ganchao Liu, Zhengxi Li, Qiang Gao, Yuan Yuan

“…Firstly, to tackle the challenge of inaccurate localization resulting from sparse terrain features, this work proposes a novel feature extraction network grounded in a general visual model, leveraging the robust zero-shot generalization capability of the pre-trained model and extracting sparse features from UAV and satellite imagery. …”
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