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Spatiotemporal key region transformer for visual tracking
Visual tracking is an important field of computer vision research. Although transformer-based trackers have achieved remarkable performance, the...
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Improving Surveillance Object Detection with Adaptive Omni-Attention over Both Inter-frame and Intra-frame Context
Surveillance object detection is a challenging and practical sub-branch of object detection. Factors such as lighting variations, smaller objects,...
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Detection and localization of frame duplication using binary image template
Videos are one of the most substantial evidence that can be used to detect incidents. However, videos can be altered easily using current...
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Exploring frame conflicts in the development of a new mineral resource policy in Austria using Q-methodology
Mineral resource policy deals not only with industrial and trade aspects but is nowadays also increasingly concerned with topics such as...
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A multi-frame sparse self-learning PWC-Net for motion estimation in satellite video scenes
Motion estimation is an important approach to acquiring motion information of all targets in satellite video while it provides the ability to...
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Defect Detection of Exposure Lead Frame Based on Improved YOLOX
In view of the unpredictable defects in the industrial lead frame production line, many factories invest a lot of manpower resources and material...
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Video anomaly detection based on attention and efficient spatio-temporal feature extraction
An anomaly is a pattern, behavior, or event that does not frequently happen in an environment. Video anomaly detection has always been a challenging...
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Local motion feature extraction and spatiotemporal attention mechanism for action recognition
Video action recognition faces the important and challenging problem of spatiotemporal relationship modeling. In order to solve this issue, current...
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Behavior detection and evaluation based on multi-frame MobileNet
Video-based behavior detection is an important research direction in computer vision, which has great application potential in intelligent video...
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A term extraction algorithm based on machine learning and comprehensive feature strategy
Manual term extraction is similar to literal meaning: A translator browses text, classifies words, and prepares for translation. Terminology, as a...
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An Experimental Study of an Ion Thruster with Electrodes of an Ion-Extraction System Made of a Fine-Structure Carbon–Carbon Composite
AbstractThis article presents the results of 1000-h tests of a radiofrequency ion thruster (RFIT) with electrodes of an ion-extraction system made of...
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An Enhanced Differential Evolution Algorithm with Sorted Dual Range Mutation Operator to Solve Key Frame Extraction Problem
This paper proposes a modified Differential Evolution (DE) algorithm in which the conventional mutation operation of DE is replaced by a ‘sorted...
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Vocal Melody Extraction Based on Sparse Autoencoding Neural Networks
In music, melody is an essential element. Extracting the main melody is a key technique in music search. In this study, we propose a new algorithm...
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Digital Archive Stamp Detection and Extraction
Archives contain valuable historical information and must be properly preserved. However, traditional archival materials are vulnerable to damage...
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Key Text Frame Selection from Video
Text frame classification is needed in many applications such as event identification, exact event boundary identification, navigation, and video...
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One-Pot Multi-frame Denoising
The efficacy of learning-based denoising techniques is heavily reliant on the quality of clean supervision. Unfortunately, acquiring clean images in...
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Application of light sensor in dance teaching mode image simulation analysis based on improved visual extraction algorithm
Due to the advancement of technology and artificial intelligence, visual inspection technology is rapidly and vigorously develo**. It is not only...
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A GPU optimization workflow for real-time execution of ultra-high frame rate computer vision applications
This work proposes a GPU optimization methodology for real-time execution of ultra high frame rate applications with small frame sizes. While the use...
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Tabular Data Extraction From Documents
Data is everywhere, and data is the new oil, meaning it is omnipresent and valuable. Unfortunately, much of this data is not digitized and that calls...
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Cross B-HUB Based RNN with Random Aural-Feature Extraction for Enhanced Speaker Extraction and Speaker Recognition
Speaker recognition is the identification of a person from characteristics of voices hence various robust training and classification algorithms for...
