Results 101 to 110 of about 811,653 (307)

Automated depression detection in text data: leveraging lexical features, phonesthemes embedding, and roberta transformer model [PDF]

, 2023
Indexed keywords SciVal Topics Metrics Funding details Abstract Depression is a prevalent mental disorder characterized by persistent sadness, lack of interest, and diminished pleasure.
Cuadrado, Juan, Martínez Santos, Juan Carlos, Martinez, Elizabeth, Peña, Daniel, Puertas Del Castillo, Edwin Alexander   +4 more
core   +3 more sources

ASM-DBNet: Introducing Adaptive Differentiable Binarization, Spatial-Channel Self-Attention and Multi-Scale Context-Enhanced Dynamic Upsampling for Natural Scene Text Detection

Information
Text detection models based on DBNet have demonstrated strong performance in natural scene text detection. However, these models still suffer from the following three issues.
Xiaoliang Qian, Pengfei Wang, Li Zeng, Mengyang Chen, Wandian Chen, Jinchao Guo, Yanfang Mao   +6 more
doaj   +1 more source

Audio-based event detection for sports video [PDF]

, 2003
In this paper, we present an audio-based event detection approach shown to be effective when applied to the Sports broadcast data. The main benefit of this approach is the ability to recognise patterns that indicate high levels of crowd response which ...
Mark Baillie, Baillie, M., Jose, J.M., Joemon M. Jose   +3 more
core   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

FEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

Stable text line detection [PDF]

2009 Workshop on Applications of Computer Vision (WACV), 2009
Text line segmentation in freestyle handwritten documents remains an open document analysis problem. Curvilinear text lines and small gaps between neighbouring text lines present a challenge to algorithms developed for machine-printed or hand-printed documents.
openaire   +2 more sources

Chinese text detection and location for images in multimedia messaging service [PDF]

, 2010
Text detection and recognition for images in multimedia messaging service is a very important task. Since Chinese characters are composed of four kinds of strokes, i.e., horizontal line, top-down vertical line, left-downward slope line and short pausing ...
Tao, D., Yang, J., Li, Xuelong, X. Gao, Tian, C, D. Tao, Gao, X., Tao, D, J. Yan, Li XL(李学龙), Tian, C., Yan, J, Li, X, C. Tian, Gao, X   +14 more
core   +1 more source

RoundMi: A quantitative method to analyze mitochondrial morphology in mitotic cells

FEBS Open Bio, EarlyView.
RoundMi is a workflow for rapid analysis of mitochondrial morphology in mitotic cells. By combining adaptive preprocessing with automated segmentation and quantification, it enables accurate measurements from single focal plane images, reducing acquisition time and computational demands while remaining compatible with high‐throughput fixed and live ...
Elmira Parvindokht Bararpour, Christine Volmert, Valentina Piano   +2 more
wiley   +1 more source

Text Localization, Extraction and Inpainting in Color Images using Combined Structural and Textural Features

International Journal of Information and Communication Technology Research, 2015
In this article, a new approach is proposed for text detection, extraction and inpainting in color images. The proposed algorithm includes three stages. In the first stage, several gradient based operators and image corners are utilized to localize text ...
Mohammad Khodadadi Azadboni, Alireza Behrad   +1 more
doaj  

Arbitrary-Shaped Text Detection With Adaptive Text Region Representation

IEEE Access, 2020
Text detection/localization, as an important task in computer vision, has witnessed substantial advancements in methodology and performance with convolutional neural networks. However, the vast majority of popular methods use rectangles or quadrangles to
Xiufeng Jiang, Shugong Xu, Shunqing Zhang, Shan Cao   +3 more
doaj   +1 more source

General highlight detection in sport videos [PDF]

, 2009
Attention is a psychological measurement of human reflection against stimulus. We propose a general framework of highlight detection by comparing attention intensity during the watching of sports videos.
Ren, R., Reede Ren, Jose, J.M., Joemon M. Jose   +3 more
core   +1 more source