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Frame rate computing and aggregation measurement toward QoS/QoE in Video-SAR systems for UAV-borne real-time remote sensing
This research aims to introduce some new findings toward multimedia and communication aspects of Video-SAR imaging systems. The first suggestion is a...
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Multi-frame spatio-temporal super-resolution
Increasing the resolution of digital images and videos using digital super-resolution (SR) techniques has been of great interest in industry and...
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A comparative analysis on major key-frame extraction techniques
Real-time hand gesture recognition involves analyzing static and dynamic gesture videos. Video is a sequential arrangement of images, captured and...
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Multiple forgery detection in digital video based on inconsistency in video quality assessment attributes
With the enormous development of video capture, sharing, and editing tools, the authenticity and correctness of videos are under threat. Videos...
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An extended TLD tracking algorithm using co-training learning for low frame rate videos
The conventional tracking-learning-detection (TLD) algorithm is sensitive to illumination changes, clutter, significant changes of target shape...
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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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No-reference video quality assessment from artifacts and content characteristics: a neuro-fuzzy framework for video quality evaluation
Reliable assessment of video quality is important for video service providers as it directly impacts a viewer’s quality of experience (QoE)....
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Semi-supervised Semantic Segmentation Algorithm for Video Frame Corruption
To address the problems of lack of labeled data and inaccurate segmentation in semantic segmentation of corrupted frame in surveillance video, a...
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MVFI-Net: Motion-Aware Video Frame Interpolation Network
Video frame interpolation (VFI) is to synthesize the intermediate frame given successive frames. Most existing learning-based VFI methods generate...
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Continuity-attenuation captured network for frame deletion detection
Frame deletion detection has played an essential role in digital forensics. The existing literature suggests that detection work is accomplished by...
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Detection and localization of multiple inter-frame forgeries in digital videos
Sanctity and integrity of digital videos are crucial for the diverse real-world applications. It has significant social and legal implications. The...
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Enhancing frame-level student engagement classification through knowledge transfer techniques
Assessing student engagement in educational settings is critical for monitoring and improving the learning process. Traditional methods that classify...
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A fast selective encryption scheme for H.264/AVC video with syntax-preserving and zero bit rate expansion
H.264/AVC is the most widely used video-coding standard today, and designing selective encryption (SE) algorithms for H.264/AVC has drawn extensive...
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Chroma key foreground forgery detection under various attacks in digital video based on frame edge identification
Chroma key foreground forgery is the most common forgery to manipulate the contents of a digital video. This kind of video can be presented in courts...
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Enhancing action discrimination via category-specific frame clustering for weakly-supervised temporal action localization
Temporal action localization (TAL) is a task of detecting the start and end timestamps of action instances and classifying them in an untrimmed...
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Key frame extraction method for lecture videos based on spatio-temporal subtitles
Affected by the Corona Virus Disease 2019 (COVID-19), online lecture videos have witnessed an explosive growth. In the face of massive videos, this...
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F2S-Net: learning frame-to-segment prediction for online action detection
Online action detection (OAD) aims at predicting action per frame from a streaming untrimmed video in real time. Most existing approaches leverage...
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A video codec based on background extraction and moving object detection
Cameras are the primary data sources in video surveillance systems and produce massive data every second. Video surveillance is an extremely...
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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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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...
