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SVMFI: speaker video multi-frame interpolation with the guidance of audio
Due to network constraints like latency and bandwidth, speaker videos often suffer from low frame rates and frequent frame drops. Video frame...
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An MSDCNN-LSTM framework for video frame deletion forensics
Frame deletion detection is a challenging task in the field of digital video forensics. This paper proposes a deep-learning-based frame deletion...
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Towards Frame Rate Agnostic Multi-object Tracking
Multi-object Tracking (MOT) is one of the most fundamental computer vision tasks that contributes to various video analysis applications. Despite the...
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Joint frame-level and CTU-level rate control based on constant perceptual quality
For a given network bandwidth, optimizing the rate control to achieve the best compression performance is essential in video communication and...
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FLAVR: flow-free architecture for fast video frame interpolation
Many modern frame interpolation approaches rely on explicit bidirectional optical flows between adjacent frames, thus are sensitive to the accuracy...
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Super-resolution reconstructed video coding scheme based on inter-frame information
In recent years, the explosive growth of video data has posed a challenge to the performance of traditional video coding frameworks. The industry is...
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Ef-kpress: joint event-frame compression and video generation with event cameras for low-bandwidth VR streaming
High Dynamic Range (HDR), high frame rate, and high-resolution video playback enhance the immersive experience in Virtual Reality (VR). However,...
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Deep learning models beyond temporal frame-wise features for hand gesture video recognition
Recurrent neural networks (RNNs) are widely utilized in neural network research to capture spatiotemporal features in video data. However, their...
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STDC-Net: A spatial-temporal deformable convolution network for conference video frame interpolation
Video conference communication can be seriously affected by dropped frames or reduced frame rates due to network or hardware restrictions. Video...
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Secure video steganography using key frame and region selection technique
Data security during internet transmission is the main concern. Therefore, protecting the data has become the focus among the researchers. In this...
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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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Frame Adaptive Rate Control Scheme for Video Compressive Sensing
Measurement coding compresses the output of compressive image sensors to improve the image/video transmission efficiency. In these coding systems,... -
Attention-guided residual frame learning for video anomaly detection
The problem of anomaly detection in video surveillance data has been an active research topic. The main difficulty of video anomaly detection is due...
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A lightweight multi-granularity asymmetric motion mode video frame prediction algorithm
Due to the increasing demand for improved accuracy in video prediction tasks, there has been a noticeable trend in deepening network layers and...
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Hybrid War** Fusion for Video Frame Interpolation
Video frame interpolation aims to synthesize new intermediate frames between existing ones, which is an important task in video enhancement. A...
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Color coherence-based scene-change detection for frame rate up-conversion
Existing scene-change detection methods usually use the differences in luminance values between consecutive frames to detect scene changes....
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Enhanced spatial-temporal freedom for video frame interpolation
With the introduction of deformable convolution, the kernel-based Video Frame Interpolation (VFI) has made significant progress. However, there are...
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Frame importance and temporal memory effect-based fast video quality assessment for user-generated content
User-generated content (UGC) has become increasingly popular, promoted by the widespread use of social media and mobile devices. Therefore, instant...
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Key-frame reference selection for error resilient video coding using low-delay hierarchical coding structure
Low-delay hierarchical coding structure (LD-HCS), as one of the most crucial components in the High Efficiency Video Coding (HEVC) standard,...
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Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models
This paper presents a novel approach to video super-resolution (VSR) by focusing on the selection of input frames, a process critical to VSR. VSR...