Results 81 to 90 of about 492 (173)
A packet-layer video quality assessment model with spatiotemporal complexity estimation
EURASIP Journal on Image and Video Processing, 2011 A packet-layer video quality assessment (VQA) model is a lightweight model that predicts the video quality impacted by network conditions and coding configuration for application scenarios such as video system planning and in-service video quality ...
Liao Ning, Chen Zhibo
doaj
Light-VQA+: A Video Quality Assessment Model for Exposure Correction with Vision-Language Guidance
International Journal of Computer VisionRecently, User-Generated Content (UGC) videos have gained popularity in our daily lives. However, UGC videos often suffer from poor exposure due to the limitations of photographic equipment and techniques. Therefore, Video Exposure Correction (VEC) algorithms have been proposed, Low-Light Video Enhancement (LLVE) and Over-Exposed Video Recovery (OEVR ...
Xunchu Zhou +8 more
openaire +2 more sources
No-Reference Video Quality Assessment using MPEG Analysis
, 2013 We present a method for No-Reference (NR) Video Quality Assessment (VQA) for decoded video without access to the bitstream. This is achieved by extracting and pooling features from a NR image quality assessment method used frame by frame. We also present
Soren Forchhammer +5 more
core +1 more source
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
openaire +2 more sources
Exploring opinion-unaware video quality assessment with semantic affinity criterion
, 2023 Recent learning-based video quality assessment (VQA) algorithms are expensive to implement due to the cost of data collection of human quality opinions, and are less robust across various scenarios due to the biases of these opinions.
Wu, Haoning +8 more
core +1 more source
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
doaj +1 more source
Blind image and video quality assessment using natural scene and motion models
, 2013 textWe tackle the problems of no-reference/blind image and video quality evaluation. The approach we take is that of modeling the statistical characteristics of natural images and videos, and utilizing deviations from those natural statistics as ...
Saad, Michele Antoine
core +1 more source
Spatiotemporal Video Quality Assessment Method via Multiple Feature Mappings
, 2022 Progressed video quality assessment (VQA) methods aim to evaluate the perceptual quality of videos in many applications but often prompt to increase computational complexity.
Mou, Xuanqin +2 more
core +1 more source
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
openaire +2 more sources
No-Reference Video Quality Assessment by HEVC Codec Analysis
, 2015 This paper proposes a No-Reference (NR) Video Quality Assessment (VQA) method for videos subject to the distortion given by High Efficiency Video Coding (HEVC). The proposed assessment can be performed either as a BitstreamBased (BB) method or as a Pixel-
Huang, Xin +5 more
core +1 more source