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DaTaobao Tech
DaTaobao Tech
Apr 26, 2023 · Artificial Intelligence

MD-VQA: Multi-Dimensional No-Reference Video Quality Assessment for CVPR NTIRE 2023

Alibaba’s Taobao VQA team won the CVPR NTIRE 2023 Video Enhancement Challenge by introducing MD‑VQA, a multi‑dimensional no‑reference video quality model that combines a Swin‑Transformer‑V2 spatial backbone, a pre‑trained SlowFast motion encoder, and a convolutional fusion module, pre‑trained on LSVQ, fine‑tuned on NTIRE data, and augmented spatio‑temporally, achieving state‑of‑the‑art SROCC and PLCC scores and now powering quality monitoring on Alibaba’s live‑streaming and short‑video services.

No-ReferenceSwin Transformercomputer vision
0 likes · 15 min read
MD-VQA: Multi-Dimensional No-Reference Video Quality Assessment for CVPR NTIRE 2023
DaTaobao Tech
DaTaobao Tech
Mar 20, 2023 · Artificial Intelligence

MD-VQA: Multi-Dimensional No-Reference Video Quality Assessment for UGC Live Videos

MD‑VQA is a no‑reference video quality assessment model that combines semantic cues from EfficientNetV2, handcrafted distortion metrics, and motion information from ResNet3D‑18 to predict absolute quality of user‑generated live videos, trained on the large TaoLive dataset and achieving state‑of‑the‑art SRCC and PLCC results that are already deployed for real‑time monitoring on Taobao’s streaming platform.

No-ReferenceUGCcomputer vision
0 likes · 12 min read
MD-VQA: Multi-Dimensional No-Reference Video Quality Assessment for UGC Live Videos
Tencent Music Tech Team
Tencent Music Tech Team
Jun 1, 2021 · Artificial Intelligence

TDQA: A No-Reference Deep Learning Based Video Quality Assessment Algorithm for Live Streaming

TDQA is a no‑reference, deep‑learning video quality assessment algorithm designed for live‑streaming, built on a large subjectively annotated dataset and an end‑to‑end architecture with fine‑tuned backbones, achieving state‑of‑the‑art accuracy and sub‑second inference for real‑time quality monitoring and pipeline optimization.

Model TrainingNo-ReferenceTDQA
0 likes · 15 min read
TDQA: A No-Reference Deep Learning Based Video Quality Assessment Algorithm for Live Streaming
Xianyu Technology
Xianyu Technology
Jun 30, 2018 · Artificial Intelligence

No-Reference Image Sharpness Assessment Based on Strong Edge Validity Statistics

The paper proposes a no‑reference image sharpness metric that computes strong‑edge validity statistics—ratio of maximum directional gradient sum to squared strong‑edge count—across image blocks, classifies them into grades, and effectively handles defocus and motion blur for applications such as video thumbnail selection.

No-Referencecomputer visionedge statistics
0 likes · 8 min read
No-Reference Image Sharpness Assessment Based on Strong Edge Validity Statistics