Results 61 to 70 of about 256 (143)
Efficient Computational Cost Saving in Video Processing for QoE Estimation
IEEE AccessNo-Reference video quality assessment has become a trending and challenging hot topic in estimating perceived quality in audiovisual content. In this paper, we present a proposal to considerably reduce the computational cost of video processing without ...
Alvaro Llorente +4 more
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EyeSim-VQA: A Free-Energy-Guided Eye Simulation Framework for Video Quality Assessment
IEEE Transactions on Circuits and Systems for Video TechnologyThis work has been submitted to the IEEE TCSVT for possible ...
Zhaoyang Wang +5 more
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2026 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)The prevalence of user-generated content (UGC) on platforms such as YouTube and TikTok has rendered no-reference (NR) perceptual video quality assessment (VQA) vital for optimizing video delivery. Nonetheless, the characteristics of non-professional acquisition and the subsequent transcoding of UGC video on sharing platforms present significant ...
Xinyi Wang 0011 +3 more
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Optimized Tile Quality Selection in Multi-User 360° Video Streaming
IEEE Open Journal of the Communications Society360° videos and virtual reality (VR) are among the defining applications for a new era of immersive multimedia technologies. However, streaming high-quality 360° videos constitutes a challenge for service providers and network operators ...
Moatasim Mahmoud +6 more
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No-Reference Video Quality Assessment Using Transformers and Attention Recurrent Networks
IEEE AccessIn recent years, numerous studies have investigated the development of methods for video quality assessment (VQA). These studies have predominantly focused on specific types of video degradation tailored to the application of interest.
Koffi Kossi +2 more
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IEEE AccessIn AIoT edge systems, video-based object detection is essential for smart surveillance, industrial inspection, and real-time monitoring. However, hardware faults in video decoders can introduce subtle but functionally critical visual errors that degrade ...
Jun-Tsung Wu +3 more
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PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Video quality assessment (VQA) is a challenging problem due to the numerous factors that can affect the perceptual quality of a video, \eg, content attractiveness, distortion type, motion pattern, and level. However, annotating the Mean opinion score (MOS) for videos is expensive and time-consuming, which limits the scale of VQA datasets, and poses a ...
Kun Yuan 0003 +8 more
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ReLaX-VQA: Residual Fragment and Layer Stack Extraction for Enhancing Video Quality Assessment
CoRRWith the rapid growth of User-Generated Content (UGC) exchanged between users and sharing platforms, the need for video quality assessment in the wild is increasingly evident. UGC is typically acquired using consumer devices and undergoes multiple rounds of compression (transcoding) before reaching the end user.
Wang, Xinyi +2 more
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IEEE Transactions on Circuits and Systems for Video TechnologyInspired by the dual-stream theory of the human visual system (HVS) - where the ventral stream is responsible for object recognition and detail analysis, while the dorsal stream focuses on spatial relationships and motion perception - an increasing number of video quality assessment (VQA) works built upon this framework are proposed.
Li Yu +3 more
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Proceedings of the 32nd ACM International Conference on MultimediaVideo Quality Assessment (VQA) aims to simulate the process of perceiving video quality by the human visual system (HVS). The judgments made by HVS are always influenced by human subjective feelings. However, most of the current VQA research focuses on capturing various distortions in the spatial and temporal domains of videos, while ignoring the ...
Yachun Mi +5 more
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