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Enhancing Video Sequence in Video Analytics Systems
A video enhancement method based on applying gamma correction is proposed. Its realization implies processing all video frames using a single...
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Sequence-to-Sequence Video Captioning System
Video captions, the art of video translation to produce a comprehensive summary of the content, is a challenging task in the fields of computer...
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A visual positioning model for UAV’s patrolling video sequence images based on DOM rectification
With technological development of multi sensors, UAV (unmanned aerial vehicle) can identify and locate key targets in essential monitoring areas or...
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Background subtraction for video sequence using deep neural network
Background subtraction aims to extract moving objects from a video sequence which is a prerequisite for high-level surveillance video analysis. There...
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Chaos-based block permutation and dynamic sequence multiplexing for video encryption
This paper proposes a video security transmission enhancement algorithm based on block permutation and dynamic multiplexing sequences encryption...
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Instance-sequence reasoning for video question answering
Video question answering (Video QA) involves a thorough understanding of video content and question language, as well as the grounding of the textual...
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A video data hiding technique based on pixel sequence, weight interpolation and quorum function
The development of multimedia technology has increased the challenge in protecting the information. This paper proposes an effective method for data...
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DSTAN: A Deformable Spatial-temporal Attention Network with Bidirectional Sequence Feature Refinement for Speckle Noise Removal in Thyroid Ultrasound Video
Thyroid ultrasound video provides significant value for thyroid diseases diagnosis, but the ultrasound imaging process is often affected by the...
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Bilingual video captioning model for enhanced video retrieval
Many video platforms rely on the descriptions that uploaders provide for video retrieval. However, this reliance may cause inaccuracies. Although...
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A time sequence location method of long video violence based on improved C3D network
This paper mainly studies the retrieval and location of violence in long time sequence video. Aiming at the low accuracy of violence detection in...
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Deep Learning for Video Understanding
This book presents deep learning techniques for video understanding. For deep learning basics, the authors cover machine learning pipelines and...
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Video watermarking technique using motion vectors to video authentication
With the increase in the number of communication networks and digital multimedia technologies, ensuring the confidentiality of information has become...
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A robust coverless video steganography based on maximum DC coefficients against video attacks
Coverless steganography has been of great interest in recent years, since it is a technology that can absolutely resist the detection of steganalysis...
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Video expert assessment of high quality video for Video Assistant Referee (VAR): A comparative study
The International Football Association Board decided to introduce Video Assistant Referee (VAR) in 2018. This led to the need to develop methods for...
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A novel video-based pedestrian re-identification method of sequence feature distribution similarity measurement combined with deep learning
In this paper, we propose a novel video-sequence-based pedestrian re-identification method using the feature distribution similarity measurement...
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Optimal video processing and soft computing algorithms for human hand gesture recognition from real-time video
An essential component of building an automated hand gesture detection system is the ability to extract hand movements using a single video camera....
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Abnormal Human Behavior Detection from a Video Sequence Using Deep Learning
The utilization of cameras is becoming accepted society more frequently in a wide range of settings and contexts, including live traffic monitoring,...
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Video captioning using transformer-based GAN
Video captioning is the process of automatically generating natural language descriptions of video content. Historically, most video captioning...
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Swin-VEC: Video Swin Transformer-based GAN for video error concealment of VVC
Video error concealment can effectively improve the visual perception quality of videos damaged by packet loss in video transmission or error...
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A video compression-cum-classification network for classification from compressed video streams
Video analytics can achieve increased speed and efficiency by operating directly on the compressed video format, thereby alleviating the decoding...
