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Video Super-Resolution with Frame-Wise Dynamic Fusion and Self-Calibrated Deformable Alignment
In video super-resolution, exploiting spatial information of reference frame and temporal information from neighbouring frames is significant but...
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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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DA-ResNet: dual-stream ResNet with attention mechanism for classroom video summary
It is important to generate both diverse and representative video summary for massive videos. In this paper, a convolution neural network based on...
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HEVC Rate Control Optimization Algorithm Based on Video Characteristics
Based on the relationship between the frame-level and the large coding unit (LCU)-level in the high-efficiency video coding (HEVC) rate control...
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An improved hiding information by modifying selected DWT coefficients in video steganography
The rapid expansion of information technology enables users to transfer data or files via the internet in a short time. Steganography is the art of...
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Property Constrained Video Summarization via Regret Minimization
Video summarization has become one of the most effective solutions for quickly understanding a large amount of video data. Video properties such as...
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Structured Encoding Based on Semantic Disambiguation for Video Captioning
Video captioning, which aims to automatically generate video captions, has gained significant attention due to its wide range of applications in...
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A comprehensive survey on video frame interpolation techniques
Video frame interpolation is an important area in the computer vision research activities for video post-processing, surveillance, and video...
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High-capacity multimedia data hiding: synthesising adaptive inverted LSB332 with histogram difference-based frame selection and PCA-based region selection
Video steganography is a technique that involves hiding secret messages within a video while minimising any noticeable changes or distortions. The...
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Local and nonlocal flow-guided video inpainting
The purpose of video inpainting is to get a reasonable content from the video to fill in the missing region. Video is a continuous four-dimensional...
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Temporal-spatial information mining and aggregation for video matting
In previous video matting methods, there are some problems that require additional auxiliary information and lack of temporal consistency. To solve...
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Performance analysis of optimized versatile video coding software decoders on embedded platforms
In recent years, the global demand for high-resolution videos and the emergence of new multimedia applications have created the need for a new video...
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Tiny polyp detection from endoscopic video frames using vision transformers
Deep learning techniques can be effective in hel** doctors diagnose gastrointestinal polyps. Currently, processing video frame sequences containing...
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End-to-End Video Text Spotting with Transformer
Recent video text spotting methods usually require the three-staged pipeline, i.e., detecting text in individual images, recognizing localized text,...
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Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual...
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A hybrid graphics/video rate control method based on graphical assets for cloud gaming
In Hybrid Cloud Gaming (HCG), as long as the graphical assets are available at the client side, rendering can be performed locally. However, if the...
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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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Bidirectional Multi-scale Deformable Attention for Video Super-Resolution
Video super-resolution aims to generate a high-resolution video frame from its low-resolution video sequences. Video super-resolution is still a...
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Semantic guidance incremental network for efficiency video super-resolution
In video streaming, bandwidth constraints significantly affect client-side video quality. Addressing this, deep neural networks offer a promising...
